Sr. Data Engineer

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    "jobTitle": "Sr. Data Engineer",
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    "description": "<h1 style=\"margin-top:16px;margin-bottom:8px;\"><span style=\"font-size:16px;\"><span style=\"font-family:Verdana, Geneva, sans-serif;\"><span style=\"color:#2f5496;\"><span style=\"font-weight:normal;\"><b>Take a leap and join our team!</b></span></span></span></span></h1>\r\n\r\n<p style=\"margin-bottom:8px;\"><span style=\"font-size:14px;\"><span style=\"font-family:Verdana, Geneva, sans-serif;\">At Gesa, we believe in the power of our people. Coming from all walks of life, our team members&rsquo; individual stories and unique experiences are our most valuable asset. But it&rsquo;s how we come together, igniting our collective compassion and commitment to empowering our communities, that makes us succeed. Because we know we go further when we go together.</span></span></p>\r\n\r\n<p style=\"margin-bottom:8px;\"><span style=\"font-size:14px;\"><span style=\"font-family:Verdana, Geneva, sans-serif;\">Here you can join a team who is passionate about serving others, has a desire to do good, and shares a deep love of people. You can engage in meaningful work that impacts your community. You can challenge yourself and grow in your career. And, you can rest assured that your wellbeing and prosperity are our priority.&nbsp;</span></span></p>\r\n\r\n<p style=\"margin-bottom:8px;\"><span style=\"font-size:14px;\"><span style=\"font-family:Verdana, Geneva, sans-serif;\"><strong><span style=\"background:#FFFFFF;\"><span style=\"color:#444444;\">Get to know us:&nbsp;&nbsp;</span></span></strong><a href=\"https://www.gesa.com/about#1953\" rel=\"noreferrer noopener\" style=\"color:#0000FF;text-decoration:underline;\" target=\"_blank\"><span style=\"background:#FFFFFF;\"><span style=\"color:#428bca;\">About - Gesa Credit Union</span></span></a></span></span></p>\r\n\r\n<p style=\"margin-bottom:8px;\">&nbsp;</p>\r\n\r\n<h1 style=\"margin-top:16px;margin-bottom:8px;\"><span style=\"font-size:16px;\"><span style=\"font-family:Verdana, Geneva, sans-serif;\"><span style=\"color:#2f5496;\"><span style=\"font-weight:normal;\"><b>Role Summary:</b></span></span></span></span></h1>\r\n\r\n<p class=\"JDTitles\"><span style=\"font-size:14px;\"><span style=\"font-family:Verdana, Geneva, sans-serif;\"><span style=\"line-height:14pt;\"><span style=\"font-weight:bold;\"><span style=\"font-weight:normal;\">Under the general supervision of the</span>&nbsp;<span style=\"font-weight:normal;\">Data Analytics &amp; Governance Manager/Team Leader, the&nbsp;</span></span></span><span style=\"line-height:107%;\"><span style=\"line-height:107%;\">Sr. Data Engineer plays a key role in supporting the enterprise data infrastructure and systems required for data storage, processing, and analysis. While the third-party vendor is responsible for designing the core data warehouse and managing data ingestion from major systems, the Sr. Data Engineer will assist the data warehouse vendor with the establishment of new data sources and provide support for any maintenance and troubleshooting required. This includes focusing on integrating smaller or supplemental data sources into the Azure-based data warehouse and Databricks analytics platform, collaborating with internal teams to identify, model, and automate the ingestion of these data sources, and ensuring they meet organizational standards for data quality, governance, and security. Additionally, the Sr. Data Engineer partners closely with business leaders and executives to help define and advance the vision for managing data as a strategic business asset, aligning data management practices with organizational goals and driving value through effective data stewardship.</span></span></span></span></p>\r\n\r\n<p>&nbsp;</p>\r\n\r\n<p class=\"JDTitles\" style=\"margin-left:107px;text-indent:-80pt;\">&nbsp;</p>\r\n\r\n<h1 style=\"margin-top:16px;margin-bottom:8px;\"><span style=\"font-size:16px;\"><span style=\"font-family:Verdana, Geneva, sans-serif;\"><span style=\"color:#2f5496;\"><span style=\"font-weight:normal;\"><b>What You Will Be Doing:</b></span></span></span></span></h1>\r\n\r\n<ol>\r\n\t<li class=\"MsoNoSpacing\" style=\"margin-left:8px;\"><span style=\"font-size:14px;\"><span style=\"font-family:Verdana, Geneva, sans-serif;\">Represent the Data Intelligence department in projects and committees as assigned</span></span></li>\r\n\t<li class=\"MsoNoSpacing\" style=\"margin-left:8px;\"><span style=\"font-size:14px;\"><span style=\"font-family:Verdana, Geneva, sans-serif;\">Lead the design, development, and optimization of data pipelines for extracting, transforming, and loading data from diverse sources into the third-party data warehouse on Azure</span></span></li>\r\n\t<li class=\"MsoNoSpacing\" style=\"margin-left:8px;\"><span style=\"font-size:14px;\"><span style=\"font-family:Verdana, Geneva, sans-serif;\">Collaborate with data analysts, BI analysts, data quality and data stewards, and IT professionals to develop and maintain scalable data models and analytical solutions</span></span></li>\r\n\t<li class=\"MsoNoSpacing\" style=\"margin-left:8px;\"><span style=\"font-size:14px;\"><span style=\"font-family:Verdana, Geneva, sans-serif;\">Integrate data from databases, APIs, and external systems, ensuring consistency, integrity, and quality throughout the process</span></span></li>\r\n\t<li class=\"MsoNoSpacing\" style=\"margin-left:8px;\"><span style=\"font-size:14px;\"><span style=\"font-family:Verdana, Geneva, sans-serif;\">Implement and monitor data governance frameworks, including data validation, cleansing, aggregation, and enrichment techniques</span></span></li>\r\n\t<li class=\"MsoNoSpacing\" style=\"margin-left:8px;\"><span style=\"font-size:14px;\"><span style=\"font-family:Verdana, Geneva, sans-serif;\">Establish and enforce data quality checks, validations, and compliance with policies and procedures</span></span></li>\r\n\t<li class=\"MsoNoSpacing\" style=\"margin-left:8px;\"><span style=\"font-size:14px;\"><span style=\"font-family:Verdana, Geneva, sans-serif;\">Optimize data processing workflows for performance, scalability, and efficiency; resolve bottlenecks and enhance query performance</span></span></li>\r\n\t<li class=\"MsoNoSpacing\" style=\"margin-left:8px;\"><span style=\"font-size:14px;\"><span style=\"font-family:Verdana, Geneva, sans-serif;\">Design, develop, and maintain scalable data engineering solutions using Databricks, including Spark-based transformations, notebooks, and jobs</span></span></li>\r\n\t<li class=\"MsoNoSpacing\" style=\"margin-left:8px;\"><span style=\"font-size:14px;\"><span style=\"font-family:Verdana, Geneva, sans-serif;\">Apply Databricks best practices for cluster configuration, job orchestration, performance tuning, and cost-aware design</span></span></li>\r\n\t<li class=\"MsoNoSpacing\" style=\"margin-left:8px;\"><span style=\"font-size:14px;\"><span style=\"font-family:Verdana, Geneva, sans-serif;\">Implement medallion-style data architectures (Bronze, Silver, Gold) to support governed and analytics-ready datasets</span></span></li>\r\n\t<li class=\"MsoNoSpacing\" style=\"margin-left:8px;\"><span style=\"font-size:14px;\"><span style=\"font-family:Verdana, Geneva, sans-serif;\"><span style=\"line-height:107%;\"><span style=\"line-height:107%;\">Enable and optimize data pipelines to support AI, machine learning, and advanced analytics use cases, fostering innovation across the organization</span></span></span></span></li>\r\n\t<li class=\"MsoNoSpacing\" style=\"margin-left:8px;\"><span style=\"font-size:14px;\"><span style=\"font-family:Verdana, Geneva, sans-serif;\"><span style=\"line-height:107%;\"><span style=\"line-height:107%;\">Identify opportunities to leverage emerging technologies and innovative data engineering approaches for enhanced business insights and improved decision-making</span></span></span></span></li>\r\n\t<li class=\"MsoNoSpacing\" style=\"margin-left:8px;\"><span style=\"font-size:14px;\"><span style=\"font-family:Verdana, Geneva, sans-serif;\">Support the ongoing strategic planning and monitoring process for data intelligence and data governance</span></span></li>\r\n\t<li class=\"MsoNoSpacing\" style=\"margin-left:8px;\"><span style=\"font-size:14px;\"><span style=\"font-family:Verdana, Geneva, sans-serif;\">Educate and train stakeholders on data warehouse solutions, data governance, and best practices</span></span></li>\r\n\t<li class=\"MsoNoSpacing\" style=\"margin-left:8px;\"><span style=\"font-size:14px;\"><span style=\"font-family:Verdana, Geneva, sans-serif;\">Maintain expert-level knowledge of core operating systems, data warehouse platforms, and data intelligence tools</span></span></li>\r\n</ol>\r\n\r\n<p style=\"margin-bottom:8px;\">&nbsp;</p>\r\n\r\n<h1 style=\"margin-top:16px;margin-bottom:8px;\"><span style=\"font-size:16px;\"><span style=\"font-family:Verdana, Geneva, sans-serif;\"><span style=\"color:#2f5496;\"><span style=\"font-weight:normal;\"><b>About You:</b></span></span></span></span></h1>\r\n\r\n<ol>\r\n\t<li class=\"MsoNoSpacing\" style=\"margin-left:8px;\"><span style=\"font-size:14px;\"><span style=\"font-family:Verdana, Geneva, sans-serif;\">Advanced knowledge of Databricks for data engineering workloads, including Apache Spark, job orchestration and best practices such as layered data architectures, incremental processing, and optimization techniques</span></span></li>\r\n\t<li class=\"MsoNoSpacing\" style=\"margin-left:8px;\"><span style=\"font-size:14px;\"><span style=\"font-family:Verdana, Geneva, sans-serif;\">Ability to comfortably utilize modern cloud-based data integration tools within Azure (e.g., Azure Data Factory, Databricks, Synapse Analytics)</span></span></li>\r\n\t<li class=\"MsoNoSpacing\" style=\"margin-left:8px;\"><span style=\"font-size:14px;\"><span style=\"font-family:Verdana, Geneva, sans-serif;\"><span style=\"line-height:107%;\"><span style=\"line-height:107%;\">Proficiency with a range of programming and scripting languages commonly used in data engineering, including SQL, Python, Scala, Java, Bash or PowerShell, and R.</span></span></span></span></li>\r\n\t<li class=\"MsoNoSpacing\" style=\"margin-left:8px;\"><span style=\"font-size:14px;\"><span style=\"font-family:Verdana, Geneva, sans-serif;\">Advanced understanding of relational and NoSQL databases, data modeling, and data integration</span></span></li>\r\n\t<li class=\"MsoNoSpacing\" style=\"margin-left:8px;\"><span style=\"font-size:14px;\"><span style=\"font-family:Verdana, Geneva, sans-serif;\">Ability to collaborate across teams and communicate technical concepts to diverse stakeholders</span></span></li>\r\n\t<li class=\"MsoNoSpacing\" style=\"margin-left:8px;\"><span style=\"font-size:14px;\"><span style=\"font-family:Verdana, Geneva, sans-serif;\">Strong analytical, problem-solving, and debugging skills</span></span></li>\r\n\t<li class=\"MsoNoSpacing\" style=\"margin-left:8px;\"><span style=\"font-size:14px;\"><span style=\"font-family:Verdana, Geneva, sans-serif;\">Excellent business acumen and interpersonal skills</span></span></li>\r\n\t<li class=\"MsoNoSpacing\" style=\"margin-left:8px;\"><span style=\"font-size:14px;\"><span style=\"font-family:Verdana, Geneva, sans-serif;\">Commitment to continual process improvement and adherence to data governance standards</span></span></li>\r\n\t<li class=\"MsoNoSpacing\" style=\"margin-left:8px;\"><span style=\"font-size:14px;\"><span style=\"font-family:Verdana, Geneva, sans-serif;\"><span style=\"line-height:107%;\"><span style=\"line-height:107%;\">Demonstrated leadership capabilities, including coaching and mentoring team members to foster professional growth and promote a collaborative work environment.</span></span></span></span></li>\r\n</ol>\r\n",
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Coming from all walks of life, our team members&rsquo; individual stories and unique experiences are our most valuable asset. But it&rsquo;s how we come together, igniting our collective compassion and commitment to empowering our communities, that makes us succeed. Because we know we go further when we go together.\\r\\n\\r\\nHere you can join a team who is passionate about serving others, has a desire to do good, and shares a deep love of people. You can engage in meaningful work that impacts your community. You can challenge yourself and grow in your career. And, you can rest assured that your wellbeing and prosperity are our priority.&nbsp;\\r\\n\\r\\nGet to know us:&nbsp;&nbsp;About - Gesa Credit Union\\r\\n\\r\\n&nbsp;\\r\\n\\r\\nRole Summary:\\r\\n\\r\\nUnder the general supervision of the&nbsp;Data Analytics &amp; Governance Manager/Team Leader, the&nbsp;Sr. Data Engineer plays a key role in supporting the enterprise data infrastructure and systems required for data storage, processing, and analysis. While the third-party vendor is responsible for designing the core data warehouse and managing data ingestion from major systems, the Sr. Data Engineer will assist the data warehouse vendor with the establishment of new data sources and provide support for any maintenance and troubleshooting required. This includes focusing on integrating smaller or supplemental data sources into the Azure-based data warehouse and Databricks analytics platform, collaborating with internal teams to identify, model, and automate the ingestion of these data sources, and ensuring they meet organizational standards for data quality, governance, and security. Additionally, the Sr. Data Engineer partners closely with business leaders and executives to help define and advance the vision for managing data as a strategic business asset, aligning data management practices with organizational goals and driving value through effective data stewardship.\\r\\n\\r\\n&nbsp;\\r\\n\\r\\n&nbsp;\\r\\n\\r\\nWhat You Will Be Doing:\\r\\n\\r\\n\\r\\n\\tRepresent the Data Intelligence department in projects and committees as assigned\\r\\n\\tLead the design, development, and optimization of data pipelines for extracting, transforming, and loading data from diverse sources into the third-party data warehouse on Azure\\r\\n\\tCollaborate with data analysts, BI analysts, data quality and data stewards, and IT professionals to develop and maintain scalable data models and analytical solutions\\r\\n\\tIntegrate data from databases, APIs, and external systems, ensuring consistency, integrity, and quality throughout the process\\r\\n\\tImplement and monitor data governance frameworks, including data validation, cleansing, aggregation, and enrichment techniques\\r\\n\\tEstablish and enforce data quality checks, validations, and compliance with policies and procedures\\r\\n\\tOptimize data processing workflows for performance, scalability, and efficiency; resolve bottlenecks and enhance query performance\\r\\n\\tDesign, develop, and maintain scalable data engineering solutions using Databricks, including Spark-based transformations, notebooks, and jobs\\r\\n\\tApply Databricks best practices for cluster configuration, job orchestration, performance tuning, and cost-aware design\\r\\n\\tImplement medallion-style data architectures (Bronze, Silver, Gold) to support governed and analytics-ready datasets\\r\\n\\tEnable and optimize data pipelines to support AI, machine learning, and advanced analytics use cases, fostering innovation across the organization\\r\\n\\tIdentify opportunities to leverage emerging technologies and innovative data engineering approaches for enhanced business insights and improved decision-making\\r\\n\\tSupport the ongoing strategic planning and monitoring process for data intelligence and data governance\\r\\n\\tEducate and train stakeholders on data warehouse solutions, data governance, and best practices\\r\\n\\tMaintain expert-level knowledge of core operating systems, data warehouse platforms, and data intelligence tools\\r\\n\\r\\n\\r\\n&nbsp;\\r\\n\\r\\nAbout You:\\r\\n\\r\\n\\r\\n\\tAdvanced knowledge of Databricks for data engineering workloads, including Apache Spark, job orchestration and best practices such as layered data architectures, incremental processing, and optimization techniques\\r\\n\\tAbility to comfortably utilize modern cloud-based data integration tools within Azure (e.g., Azure Data Factory, Databricks, Synapse Analytics)\\r\\n\\tProficiency with a range of programming and scripting languages commonly used in data engineering, including SQL, Python, Scala, Java, Bash or PowerShell, and R.\\r\\n\\tAdvanced understanding of relational and NoSQL databases, data modeling, and data integration\\r\\n\\tAbility to collaborate across teams and communicate technical concepts to diverse stakeholders\\r\\n\\tStrong analytical, problem-solving, and debugging skills\\r\\n\\tExcellent business acumen and interpersonal skills\\r\\n\\tCommitment to continual process improvement and adherence to data governance standards\\r\\n\\tDemonstrated leadership capabilities, including coaching and mentoring team members to foster professional growth and promote a collaborative work environment.\\r\\n\\r\\nQualificationsWhat You Will Need:\\n\\n\\n\\tBachelor&rsquo;s degree in Computer Science, Data Science, Software Engineering, Information Systems, or related quantitative field; Master&rsquo;s degree preferred\\n\\tMinimum of six (6) years of experience in data engineering or data management disciplines required\\n\\tExperience designing and operating data pipelines using Databricks in a cloud-based analytics environment preferred\\n\\tExperience in financial institution environments preferred\\n\\n\\n&nbsp;\\n\\nOur Team Member Value Proposition:\\n\\nIn exchange for bringing your talent to Gesa, here are a just a few of the benefits and perks we offer:\\n\\n\\n\\t\\n\\tCompetitive Pay\\n\\t\\n\\t\\n\\tMedical, Dental, Vision, and Life Insurance&nbsp;\\n\\t\\n\\t\\n\\t20 days/year of Paid Time Off &ndash; Plus 10 Paid Holidays!\\n\\t\\n\\t\\n\\t401(k) Match\\n\\t\\n\\t\\n\\tIncentive Program\\n\\t\\n\\t\\n\\tTuition Assistance and Student Loan Repayment\\n\\t\\n\\t\\n\\tCommuter Benefits\\n\\t\\n\\t\\n\\tPaid Time Off to Volunteer in the Community\\n\\t\\n\\t\\n\\tProduct discounts\\n\\t\\n\\t\\n\\tEngaging Work Environment\\n\\t\\n\\t\\n\\tRewards and Recognition Programs\\n\\t\\n\\n\\n&nbsp;\\n\\nFull Salary Range:\\n\\nRichland, WA: $97,069.57-$161,782.61\\n\\nSpokane WA: $97,069.57-$161,782.61\\n\\nRenton, WA: $117,365.93-$195,609.89\\n\\n*While our full pay range is listed, most new team members typically start between the minimum and midpoint based on their experience and qualifications. &nbsp;This approach gives room to grow within the role as your career progresses with us!&quot;\\n\\n&nbsp;\\n\\n&nbsp;\\n\\nGet wise to what&rsquo;s possible with a career at Gesa. Join us!\\n\\nWe will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact the HR Department at (509) 378-3100 or [email protected] to request an accommodation.\\n\\nGesa Credit Union reserves the right to revise or change the job description as the need arises. This job description is not all inclusive of total job responsibilities nor does it constitute a written or implied contract of employment.\\n\\nSelected candidate(s) must be able to pass a pre-employment credit/background check.\\n\\nGesa Credit Union is an Equal Opportunity Employer and strong advocate of workforce diversity. Race/Color/Gender/Sexual Orientation/Gender Identity/Religion/National Origin/Disability/Veteran.\\n\\nEqual Employment Opportunity (gesa.com)\\n\",\"responsibilities\":\"Take a leap and join our team!\\r\\n\\r\\nAt Gesa, we believe in the power of our people. Coming from all walks of life, our team members&rsquo; individual stories and unique experiences are our most valuable asset. But it&rsquo;s how we come together, igniting our collective compassion and commitment to empowering our communities, that makes us succeed. Because we know we go further when we go together.\\r\\n\\r\\nHere you can join a team who is passionate about serving others, has a desire to do good, and shares a deep love of people. You can engage in meaningful work that impacts your community. You can challenge yourself and grow in your career. And, you can rest assured that your wellbeing and prosperity are our priority.&nbsp;\\r\\n\\r\\nGet to know us:&nbsp;&nbsp;About - Gesa Credit Union\\r\\n\\r\\n&nbsp;\\r\\n\\r\\nRole Summary:\\r\\n\\r\\nUnder the general supervision of the&nbsp;Data Analytics &amp; Governance Manager/Team Leader, the&nbsp;Sr. Data Engineer plays a key role in supporting the enterprise data infrastructure and systems required for data storage, processing, and analysis. While the third-party vendor is responsible for designing the core data warehouse and managing data ingestion from major systems, the Sr. Data Engineer will assist the data warehouse vendor with the establishment of new data sources and provide support for any maintenance and troubleshooting required. This includes focusing on integrating smaller or supplemental data sources into the Azure-based data warehouse and Databricks analytics platform, collaborating with internal teams to identify, model, and automate the ingestion of these data sources, and ensuring they meet organizational standards for data quality, governance, and security. Additionally, the Sr. Data Engineer partners closely with business leaders and executives to help define and advance the vision for managing data as a strategic business asset, aligning data management practices with organizational goals and driving value through effective data stewardship.\\r\\n\\r\\n&nbsp;\\r\\n\\r\\n&nbsp;\\r\\n\\r\\nWhat You Will Be Doing:\\r\\n\\r\\n\\r\\n\\tRepresent the Data Intelligence department in projects and committees as assigned\\r\\n\\tLead the design, development, and optimization of data pipelines for extracting, transforming, and loading data from diverse sources into the third-party data warehouse on Azure\\r\\n\\tCollaborate with data analysts, BI analysts, data quality and data stewards, and IT professionals to develop and maintain scalable data models and analytical solutions\\r\\n\\tIntegrate data from databases, APIs, and external systems, ensuring consistency, integrity, and quality throughout the process\\r\\n\\tImplement and monitor data governance frameworks, including data validation, cleansing, aggregation, and enrichment techniques\\r\\n\\tEstablish and enforce data quality checks, validations, and compliance with policies and procedures\\r\\n\\tOptimize data processing workflows for performance, scalability, and efficiency; resolve bottlenecks and enhance query performance\\r\\n\\tDesign, develop, and maintain scalable data engineering solutions using Databricks, including Spark-based transformations, notebooks, and jobs\\r\\n\\tApply Databricks best practices for cluster configuration, job orchestration, performance tuning, and cost-aware design\\r\\n\\tImplement medallion-style data architectures (Bronze, Silver, Gold) to support governed and analytics-ready datasets\\r\\n\\tEnable and optimize data pipelines to support AI, machine learning, and advanced analytics use cases, fostering innovation across the organization\\r\\n\\tIdentify opportunities to leverage emerging technologies and innovative data engineering approaches for enhanced business insights and improved decision-making\\r\\n\\tSupport the ongoing strategic planning and monitoring process for data intelligence and data governance\\r\\n\\tEducate and train stakeholders on data warehouse solutions, data governance, and best practices\\r\\n\\tMaintain expert-level knowledge of core operating systems, data warehouse platforms, and data intelligence tools\\r\\n\\r\\n\\r\\n&nbsp;\\r\\n\\r\\nAbout You:\\r\\n\\r\\n\\r\\n\\tAdvanced knowledge of Databricks for data engineering workloads, including Apache Spark, job orchestration and best practices such as layered data architectures, incremental processing, and optimization techniques\\r\\n\\tAbility to comfortably utilize modern cloud-based data integration tools within Azure (e.g., Azure Data Factory, Databricks, Synapse Analytics)\\r\\n\\tProficiency with a range of programming and scripting languages commonly used in data engineering, including SQL, Python, Scala, Java, Bash or PowerShell, and R.\\r\\n\\tAdvanced understanding of relational and NoSQL databases, data modeling, and data integration\\r\\n\\tAbility to collaborate across teams and communicate technical concepts to diverse stakeholders\\r\\n\\tStrong analytical, problem-solving, and debugging skills\\r\\n\\tExcellent business acumen and interpersonal skills\\r\\n\\tCommitment to continual process improvement and adherence to data governance standards\\r\\n\\tDemonstrated leadership capabilities, including coaching and mentoring team members to foster professional growth and promote a collaborative work environment.\\r\\n\\r\\n\",\"employmentType\":\"OTHER\",\"hiringOrganization\":{\"@type\":\"Organization\",\"name\":\"GESA CREDIT UNION\",\"logo\":\"https://www.paycomonline.net/v4/ats/web.php/application/style/logo?clientkey=E7A3819EACC22746FA78AB1D19A8ACB0\"},\"jobLocation\":{\"@type\":\"Place\",\"address\":{\"streetAddress\":\"825 Goethals\",\"addressLocality\":\"Richland\",\"addressRegion\":\"WA\",\"postalCode\":99352,\"addressCountry\":\"USA\"}},\"qualifications\":\"What You Will Need:\\n\\n\\n\\tBachelor&rsquo;s degree in Computer Science, Data Science, Software Engineering, Information Systems, or related quantitative field; Master&rsquo;s degree preferred\\n\\tMinimum of six (6) years of experience in data engineering or data management disciplines required\\n\\tExperience designing and operating data pipelines using Databricks in a cloud-based analytics environment preferred\\n\\tExperience in financial institution environments preferred\\n\\n\\n&nbsp;\\n\\nOur Team Member Value Proposition:\\n\\nIn exchange for bringing your talent to Gesa, here are a just a few of the benefits and perks we offer:\\n\\n\\n\\t\\n\\tCompetitive Pay\\n\\t\\n\\t\\n\\tMedical, Dental, Vision, and Life Insurance&nbsp;\\n\\t\\n\\t\\n\\t20 days/year of Paid Time Off &ndash; Plus 10 Paid Holidays!\\n\\t\\n\\t\\n\\t401(k) Match\\n\\t\\n\\t\\n\\tIncentive Program\\n\\t\\n\\t\\n\\tTuition Assistance and Student Loan Repayment\\n\\t\\n\\t\\n\\tCommuter Benefits\\n\\t\\n\\t\\n\\tPaid Time Off to Volunteer in the Community\\n\\t\\n\\t\\n\\tProduct discounts\\n\\t\\n\\t\\n\\tEngaging Work Environment\\n\\t\\n\\t\\n\\tRewards and Recognition Programs\\n\\t\\n\\n\\n&nbsp;\\n\\nFull Salary Range:\\n\\nRichland, WA: $97,069.57-$161,782.61\\n\\nSpokane WA: $97,069.57-$161,782.61\\n\\nRenton, WA: $117,365.93-$195,609.89\\n\\n*While our full pay range is listed, most new team members typically start between the minimum and midpoint based on their experience and qualifications. &nbsp;This approach gives room to grow within the role as your career progresses with us!&quot;\\n\\n&nbsp;\\n\\n&nbsp;\\n\\nGet wise to what&rsquo;s possible with a career at Gesa. Join us!\\n\\nWe will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact the HR Department at (509) 378-3100 or [email protected] to request an accommodation.\\n\\nGesa Credit Union reserves the right to revise or change the job description as the need arises. This job description is not all inclusive of total job responsibilities nor does it constitute a written or implied contract of employment.\\n\\nSelected candidate(s) must be able to pass a pre-employment credit/background check.\\n\\nGesa Credit Union is an Equal Opportunity Employer and strong advocate of workforce diversity. Race/Color/Gender/Sexual Orientation/Gender Identity/Religion/National Origin/Disability/Veteran.\\n\\nEqual Employment Opportunity (gesa.com)\\n\",\"experienceRequirements\":\"What You Will Need:\\n\\n\\n\\tBachelor&rsquo;s degree in Computer Science, Data Science, Software Engineering, Information Systems, or related quantitative field; Master&rsquo;s degree preferred\\n\\tMinimum of six (6) years of experience in data engineering or data management disciplines required\\n\\tExperience designing and operating data pipelines using Databricks in a cloud-based analytics environment preferred\\n\\tExperience in financial institution environments preferred\\n\\n\\n&nbsp;\\n\\nOur Team Member Value Proposition:\\n\\nIn exchange for bringing your talent to Gesa, here are a just a few of the benefits and perks we offer:\\n\\n\\n\\t\\n\\tCompetitive Pay\\n\\t\\n\\t\\n\\tMedical, Dental, Vision, and Life Insurance&nbsp;\\n\\t\\n\\t\\n\\t20 days/year of Paid Time Off &ndash; Plus 10 Paid Holidays!\\n\\t\\n\\t\\n\\t401(k) Match\\n\\t\\n\\t\\n\\tIncentive Program\\n\\t\\n\\t\\n\\tTuition Assistance and Student Loan Repayment\\n\\t\\n\\t\\n\\tCommuter Benefits\\n\\t\\n\\t\\n\\tPaid Time Off to Volunteer in the Community\\n\\t\\n\\t\\n\\tProduct discounts\\n\\t\\n\\t\\n\\tEngaging Work Environment\\n\\t\\n\\t\\n\\tRewards and Recognition Programs\\n\\t\\n\\n\\n&nbsp;\\n\\nFull Salary Range:\\n\\nRichland, WA: $97,069.57-$161,782.61\\n\\nSpokane WA: $97,069.57-$161,782.61\\n\\nRenton, WA: $117,365.93-$195,609.89\\n\\n*While our full pay range is listed, most new team members typically start between the minimum and midpoint based on their experience and qualifications. &nbsp;This approach gives room to grow within the role as your career progresses with us!&quot;\\n\\n&nbsp;\\n\\n&nbsp;\\n\\nGet wise to what&rsquo;s possible with a career at Gesa. Join us!\\n\\nWe will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact the HR Department at (509) 378-3100 or [email protected] to request an accommodation.\\n\\nGesa Credit Union reserves the right to revise or change the job description as the need arises. This job description is not all inclusive of total job responsibilities nor does it constitute a written or implied contract of employment.\\n\\nSelected candidate(s) must be able to pass a pre-employment credit/background check.\\n\\nGesa Credit Union is an Equal Opportunity Employer and strong advocate of workforce diversity. Race/Color/Gender/Sexual Orientation/Gender Identity/Religion/National Origin/Disability/Veteran.\\n\\nEqual Employment Opportunity (gesa.com)\\n\",\"industry\":\"Information Technology\",\"validThrough\":\"-0001-11-30\",\"educationRequirements\":\"4 Year Degree\"}",
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    "qualifications": "<h1><span style=\"display:block; font-size:16px\"><span style=\"font-family:Verdana,Geneva,sans-serif\"><span style=\"color:#2f5496\"><strong>What You Will Need:</strong></span></span></span></h1>\n\n<ol>\n\t<li><span style=\"font-family:Verdana,Geneva,sans-serif\">Bachelor&rsquo;s degree in Computer Science, Data Science, Software Engineering, Information Systems, or related quantitative field; Master&rsquo;s degree preferred</span></li>\n\t<li><span style=\"font-family:Verdana,Geneva,sans-serif\">Minimum of six (6) years of experience in data engineering or data management disciplines required</span></li>\n\t<li><span style=\"font-family:Verdana,Geneva,sans-serif\">Experience designing and operating data pipelines using Databricks in a cloud-based analytics environment preferred</span></li>\n\t<li><span style=\"font-family:Verdana,Geneva,sans-serif\">Experience in financial institution environments preferred</span></li>\n</ol>\n\n<p>&nbsp;</p>\n\n<h1><span style=\"display:block; font-size:16px\"><span style=\"font-family:Verdana,Geneva,sans-serif\"><span style=\"color:#2f5496\"><strong>Our Team Member Value Proposition:</strong></span></span></span></h1>\n\n<p><span style=\"font-family:Verdana,Geneva,sans-serif\">In exchange for bringing your talent to Gesa, here are a just a few of the benefits and perks we offer:</span></p>\n\n<ul>\n\t<li>\n\t<div><span style=\"font-family:Verdana,Geneva,sans-serif\">Competitive Pay</span></div>\n\t</li>\n\t<li>\n\t<div><span style=\"font-family:Verdana,Geneva,sans-serif\">Medical, Dental, Vision, and Life Insurance&nbsp;</span></div>\n\t</li>\n\t<li>\n\t<div><span style=\"font-family:Verdana,Geneva,sans-serif\">20 days/year of Paid Time Off &ndash; Plus 10 Paid Holidays!</span></div>\n\t</li>\n\t<li>\n\t<div><span style=\"font-family:Verdana,Geneva,sans-serif\">401(k) Match</span></div>\n\t</li>\n\t<li>\n\t<div><span style=\"font-family:Verdana,Geneva,sans-serif\">Incentive Program</span></div>\n\t</li>\n\t<li>\n\t<div><span style=\"font-family:Verdana,Geneva,sans-serif\">Tuition Assistance and Student Loan Repayment</span></div>\n\t</li>\n\t<li>\n\t<div><span style=\"font-family:Verdana,Geneva,sans-serif\">Commuter Benefits</span></div>\n\t</li>\n\t<li>\n\t<div><span style=\"font-family:Verdana,Geneva,sans-serif\">Paid Time Off to Volunteer in the Community</span></div>\n\t</li>\n\t<li>\n\t<div><span style=\"font-family:Verdana,Geneva,sans-serif\">Product discounts</span></div>\n\t</li>\n\t<li>\n\t<div><span style=\"font-family:Verdana,Geneva,sans-serif\">Engaging Work Environment</span></div>\n\t</li>\n\t<li>\n\t<div><span style=\"font-family:Verdana,Geneva,sans-serif\">Rewards and Recognition Programs</span></div>\n\t</li>\n</ul>\n\n<p style=\"margin-left:48px\">&nbsp;</p>\n\n<h1><span style=\"font-family:Verdana,Geneva,sans-serif\"><span style=\"color:#2f5496\"><strong>Full Salary Range:</strong></span></span></h1>\n\n<div style=\"margin-bottom:8px\"><span style=\"font-family:Verdana,Geneva,sans-serif\">Richland, WA: $97,069.57-$161,782.61</span></div>\n\n<div style=\"margin-bottom:8px\"><span style=\"font-family:Verdana,Geneva,sans-serif\">Spokane WA: $97,069.57-$161,782.61</span></div>\n\n<div style=\"margin-bottom:8px\"><span style=\"font-family:Verdana,Geneva,sans-serif\">Renton, WA: $117,365.93-$195,609.89</span></div>\n\n<p><span style=\"font-family:Verdana,Geneva,sans-serif\"><em>*While our full pay range is listed, most new team members typically start between the minimum and midpoint based on their experience and qualifications. &nbsp;This approach gives room to grow within the role as your career progresses with us!&quot;</em></span></p>\n\n<p>&nbsp;</p>\n\n<p style=\"margin-left:48px\">&nbsp;</p>\n\n<p><span style=\"font-family:Verdana,Geneva,sans-serif\">Get wise to what&rsquo;s possible with a career at Gesa. Join us!</span></p>\n\n<p><span style=\"font-family:Verdana,Geneva,sans-serif\">We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact the HR Department at (509) 378-3100 or [email protected] to request an accommodation.</span></p>\n\n<p><span style=\"font-family:Verdana,Geneva,sans-serif\">Gesa Credit Union reserves the right to revise or change the job description as the need arises. This job description is not all inclusive of total job responsibilities nor does it constitute a written or implied contract of employment.</span></p>\n\n<p><span style=\"font-family:Verdana,Geneva,sans-serif\">Selected candidate(s) must be able to pass a pre-employment credit/background check.</span></p>\n\n<p><span style=\"font-family:Verdana,Geneva,sans-serif\">Gesa Credit Union is an Equal Opportunity Employer and strong advocate of workforce diversity. Race/Color/Gender/Sexual Orientation/Gender Identity/Religion/National Origin/Disability/Veteran.</span></p>\n\n<p><span style=\"font-family:Verdana,Geneva,sans-serif\"><a href=\"https://www.gesa.com/docs/resource---EEOC-policy.pdf\" target=\"_blank\">Equal Employment Opportunity (gesa.com)</a></span></p>\n",
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