Data Engineer

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    "description_html": "<p><span style=\"font-size:14px;\">Analytica is seeking <strong>Data Engineers</strong> across multiple experience levels—from junior to senior—to join our growing team and support the design and development of scalable data platforms and analytics solutions. We are actively considering candidates with a range of expertise, and responsibilities will be aligned to demonstrated technical depth, autonomy, and ability to deliver impact.</span></p><div style=\"margin-bottom:11px;\"><p><span style=\"font-size:14px;\">The ideal candidate thrives in an agile, collaborative environment and brings experience (or strong foundational knowledge, for emerging engineers) in building data pipelines and architectures using Databricks and modern data engineering frameworks.</span></p><p><span style=\"font-size:14px;\">Analytica has been recognized by Inc. Magazine as one of the fastest-growing private companies in the U.S. for three consecutive years. We partner with organizations across industries to deliver impactful, data-driven solutions. We offer competitive compensation, performance-based bonuses, employer-sponsored health benefits, professional development funding, and a 401(k) match.</span></p><p><span style=\"font-size:14px;\"><strong>Responsibilities include (but are not limited to):</strong></span></p><ul><li><span style=\"font-size:14px;\">Design, build, and maintain scalable data pipelines and data architectures using Databricks and distributed processing frameworks (ownership and complexity vary by level)</span></li><li><span style=\"font-size:14px;\">Develop and optimize data models, including dimensional (star/snowflake) schemas, to support analytics and reporting use cases</span></li><li><span style=\"font-size:14px;\">Build and support ETL/ELT processes using SQL, Python, and Spark to ingest, transform, and curate datasets</span></li><li><span style=\"font-size:14px;\">Collaborate with stakeholders to translate business requirements into technical data solutions</span></li><li><span style=\"font-size:14px;\">Ensure data quality, integrity, and performance through testing, monitoring, and optimization</span></li><li><span style=\"font-size:14px;\">Contribute to data platform design decisions, tooling selection, and engineering best practices (increasing influence at higher levels)</span></li><li><span style=\"font-size:14px;\">Implement and support CI/CD pipelines for data workflows and assist with deployment and maintenance of data applications</span></li><li><span style=\"font-size:14px;\">Apply data governance, security, and metadata management best practices</span></li></ul><p><span style=\"font-size:14px;\"><strong>Qualifications (aligned to expertise level):</strong></span></p><ul><li><span style=\"font-size:14px;\">Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related quantitative field (or equivalent experience)</span></li><li><span style=\"font-size:14px;\">Experience working across cloud (AWS, Azure) or hybrid data environments </span></li><li><span style=\"font-size:14px;\">Demonstrated hands-on experience with Databricks commensurate with overall years of experience and seniority level</span></li><li>US Citizenship and must be able to obtain and maintain security clearance</li><li><span style=\"font-size:14px;\"><strong>Emerging / Junior Data Engineer:</strong></span><ul><li><span style=\"font-size:14px;\">Foundational knowledge of SQL and Python (or similar language)</span></li><li><span style=\"font-size:14px;\">Exposure to Databricks, Apache Spark, or distributed data processing concepts through coursework, internships, or projects</span></li><li><span style=\"font-size:14px;\">Understanding of basic data modeling and ETL/ELT concepts</span></li><li><span style=\"font-size:14px;\">Ability to work within established pipelines and contribute to data workflows with guidance</span></li></ul></li><li><span style=\"font-size:14px;\"><strong>Mid-Level Data Engineer:</strong></span><ul><li><span style=\"font-size:14px;\">Hands-on experience building and maintaining data pipelines using Databricks and Spark</span></li><li><span style=\"font-size:14px;\">Strong SQL and programming skills (Python and/or Scala)</span></li><li><span style=\"font-size:14px;\">Experience designing data models and optimizing data processing workflows</span></li><li><span style=\"font-size:14px;\">Ability to independently deliver data solutions and troubleshoot performance issues</span></li></ul></li><li><span style=\"font-size:14px;\"><strong>Senior Data Engineer:</strong></span><ul><li><span style=\"font-size:14px;\">Deep expertise in Databricks, Spark, and large-scale data processing architectures</span></li><li><span style=\"font-size:14px;\">Proven ability to design and implement scalable data platforms and lakehouse architectures</span></li><li><span style=\"font-size:14px;\">Strong experience with performance tuning, data reliability, and cost optimization</span></li><li><span style=\"font-size:14px;\">Ability to lead technical design, mentor team members, and influence data engineering best practices</span></li><li><span style=\"font-size:14px;\">Experience working cross-functionally to define data strategy and architecture</span></li></ul></li><li><span style=\"font-size:14px;\">Strong communication skills and ability to work effectively with both technical and non-technical stakeholders</span></li></ul><p><span style=\"font-size:14px;\"><strong>Preferred Qualifications:</strong></span></p><ul><li><span style=\"font-size:14px;\">Experience with Delta Lake and lakehouse architecture pattern</span></li><li><span style=\"font-size:14px;\">Familiarity with modern data stack tools (e.g., dbt, Airflow, or similar orchestration tools)</span></li><li><span style=\"font-size:14px;\">Experience with data governance, cataloging, and lineage tools</span></li><li><span style=\"font-size:14px;\">Experience mentoring junior engineers or leading technical initiatives (senior level)</span></li><li><span style=\"font-size:14px;\">Relevant certifications in data engineering or big data technologies particularly in Databricks</span></li></ul></div><p><br><span style=\"font-size:14px;\"><span style=\"line-height:115%;\"><span style=\"font-family:Aptos, sans-serif;\"><b>About</b><b> Analytica: </b><a href=\"https://www.analytica.net/certifications/sba-8a-certified/\" style=\"color:#467886;text-decoration:underline;\" target=\"_blank\"><b>Analytica</b></a> is a leading consulting and information technology solutions provider to public sector organizations supporting health, civilian, and national security missions. The company is an award-winning <a href=\"https://www.analytica.net/certifications/sba-8a-certified/\" style=\"color:#467886;text-decoration:underline;\" target=\"_blank\"><b>SBA certified small business</b><b> </b></a>that has been recognized by <i>Inc. Magazine </i>each of the past three years as one of the 250 fastest-growing companies in the U.S. Analytica specializes in providing software and systems engineering, information management, analytics & visualization, agile project management, and management consulting services. The company is appraised by the Software Engineering Institute (SEI) at CMMI® Maturity Level 3 and is an ISO 9001:2008 certified provider. </span></span></span></p><p>Analytica LLC is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable federal, state, or local law. As a federal contractor, we comply with the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and take affirmative action to employ and advance in employment qualified protected veterans. We ensure that all employment decisions are based on merit, qualifications, and business needs. We prohibit discrimination and harassment of any kind. Analytica LLC also provides reasonable accommodations to applicants and employees with disabilities, in accordance with applicable law.</p>\n\n<p>To enhance efficiency, fairness, and accuracy, Analytica may use AI-assisted tools to support certain aspects of our hiring process.</p>\n\n<ul>\n\t<li>Application Review: AI tools may help identify skills and experiences relevant to the role.</li>\n\t<li>Interview Support: AI-powered notetaking tools may be used during interviews to document discussions and summarize key points.</li>\n</ul>\n\n<p>These tools are used to assist our team. All hiring decisions are made by Analytica recruiters and hiring managers.</p>\n\n<p>By submitting an application, you acknowledge that AI-assisted tools may be used to support parts of the application and interview process.</p>\n\n<p>When receiving email communication from Analytica, please ensure that the email domain is analytica.net to verify its authenticity.</p>",
    "description_text": "Analytica is seeking Data Engineers across multiple experience levels—from junior to senior—to join our growing team and support the design and development of scalable data platforms and analytics solutions. We are actively considering candidates with a range of expertise, and responsibilities will be aligned to demonstrated technical depth, autonomy, and ability to deliver impact.\n The ideal candidate thrives in an agile, collaborative environment and brings experience (or strong foundational knowledge, for emerging engineers) in building data pipelines and architectures using Databricks and modern data engineering frameworks.\n Analytica has been recognized by Inc. Magazine as one of the fastest-growing private companies in the U.S. for three consecutive years. We partner with organizations across industries to deliver impactful, data-driven solutions. We offer competitive compensation, performance-based bonuses, employer-sponsored health benefits, professional development funding, and a 401(k) match.\n Responsibilities include (but are not limited to):\n Design, build, and maintain scalable data pipelines and data architectures using Databricks and distributed processing frameworks (ownership and complexity vary by level)\n Develop and optimize data models, including dimensional (star/snowflake) schemas, to support analytics and reporting use cases\n Build and support ETL/ELT processes using SQL, Python, and Spark to ingest, transform, and curate datasets\n Collaborate with stakeholders to translate business requirements into technical data solutions\n Ensure data quality, integrity, and performance through testing, monitoring, and optimization\n Contribute to data platform design decisions, tooling selection, and engineering best practices (increasing influence at higher levels)\n Implement and support CI/CD pipelines for data workflows and assist with deployment and maintenance of data applications\n Apply data governance, security, and metadata management best practices\n Qualifications (aligned to expertise level):\n Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related quantitative field (or equivalent experience)\n Experience working across cloud (AWS, Azure) or hybrid data environments\n Demonstrated hands-on experience with Databricks commensurate with overall years of experience and seniority level\n US Citizenship and must be able to obtain and maintain security clearance\n Emerging / Junior Data Engineer: Foundational knowledge of SQL and Python (or similar language)\n Exposure to Databricks, Apache Spark, or distributed data processing concepts through coursework, internships, or projects\n Understanding of basic data modeling and ETL/ELT concepts\n Ability to work within established pipelines and contribute to data workflows with guidance\n Mid-Level Data Engineer: Hands-on experience building and maintaining data pipelines using Databricks and Spark\n Strong SQL and programming skills (Python and/or Scala)\n Experience designing data models and optimizing data processing workflows\n Ability to independently deliver data solutions and troubleshoot performance issues\n Senior Data Engineer: Deep expertise in Databricks, Spark, and large-scale data processing architectures\n Proven ability to design and implement scalable data platforms and lakehouse architectures\n Strong experience with performance tuning, data reliability, and cost optimization\n Ability to lead technical design, mentor team members, and influence data engineering best practices\n Experience working cross-functionally to define data strategy and architecture\n Strong communication skills and ability to work effectively with both technical and non-technical stakeholders\n Preferred Qualifications:\n Experience with Delta Lake and lakehouse architecture pattern\n Familiarity with modern data stack tools (e.g., dbt, Airflow, or similar orchestration tools)\n Experience with data governance, cataloging, and lineage tools\n Experience mentoring junior engineers or leading technical initiatives (senior level)\n Relevant certifications in data engineering or big data technologies particularly in Databricks\n About  Analytica: Analytica is a leading consulting and information technology solutions provider to public sector organizations supporting health, civilian, and national security missions. The company is an award-winning SBA certified small business   that has been recognized by Inc. Magazine each of the past three years as one of the 250 fastest-growing companies in the U.S. Analytica specializes in providing software and systems engineering, information management, analytics & visualization, agile project management, and management consulting services. The company is appraised by the Software Engineering Institute (SEI) at CMMI® Maturity Level 3 and is an ISO 9001:2008 certified provider.\n Analytica LLC is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable federal, state, or local law. As a federal contractor, we comply with the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and take affirmative action to employ and advance in employment qualified protected veterans. We ensure that all employment decisions are based on merit, qualifications, and business needs. We prohibit discrimination and harassment of any kind. Analytica LLC also provides reasonable accommodations to applicants and employees with disabilities, in accordance with applicable law.\n To enhance efficiency, fairness, and accuracy, Analytica may use AI-assisted tools to support certain aspects of our hiring process.\n Application Review: AI tools may help identify skills and experiences relevant to the role.\n Interview Support: AI-powered notetaking tools may be used during interviews to document discussions and summarize key points.\n These tools are used to assist our team. All hiring decisions are made by Analytica recruiters and hiring managers.\n By submitting an application, you acknowledge that AI-assisted tools may be used to support parts of the application and interview process.\n When receiving email communication from Analytica, please ensure that the email domain is analytica.net to verify its authenticity.",
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      "datePosted": "2026-05-11",
      "description": "<p><span style=\"font-size:14px;\">Analytica is seeking <strong>Data Engineers</strong> across multiple experience levels—from junior to senior—to join our growing team and support the design and development of scalable data platforms and analytics solutions. We are actively considering candidates with a range of expertise, and responsibilities will be aligned to demonstrated technical depth, autonomy, and ability to deliver impact.</span></p><div style=\"margin-bottom:11px;\"><p><span style=\"font-size:14px;\">The ideal candidate thrives in an agile, collaborative environment and brings experience (or strong foundational knowledge, for emerging engineers) in building data pipelines and architectures using Databricks and modern data engineering frameworks.</span></p><p><span style=\"font-size:14px;\">Analytica has been recognized by Inc. Magazine as one of the fastest-growing private companies in the U.S. for three consecutive years. We partner with organizations across industries to deliver impactful, data-driven solutions. We offer competitive compensation, performance-based bonuses, employer-sponsored health benefits, professional development funding, and a 401(k) match.</span></p><p><span style=\"font-size:14px;\"><strong>Responsibilities include (but are not limited to):</strong></span></p><ul><li><span style=\"font-size:14px;\">Design, build, and maintain scalable data pipelines and data architectures using Databricks and distributed processing frameworks (ownership and complexity vary by level)</span></li><li><span style=\"font-size:14px;\">Develop and optimize data models, including dimensional (star/snowflake) schemas, to support analytics and reporting use cases</span></li><li><span style=\"font-size:14px;\">Build and support ETL/ELT processes using SQL, Python, and Spark to ingest, transform, and curate datasets</span></li><li><span style=\"font-size:14px;\">Collaborate with stakeholders to translate business requirements into technical data solutions</span></li><li><span style=\"font-size:14px;\">Ensure data quality, integrity, and performance through testing, monitoring, and optimization</span></li><li><span style=\"font-size:14px;\">Contribute to data platform design decisions, tooling selection, and engineering best practices (increasing influence at higher levels)</span></li><li><span style=\"font-size:14px;\">Implement and support CI/CD pipelines for data workflows and assist with deployment and maintenance of data applications</span></li><li><span style=\"font-size:14px;\">Apply data governance, security, and metadata management best practices</span></li></ul><p><span style=\"font-size:14px;\"><strong>Qualifications (aligned to expertise level):</strong></span></p><ul><li><span style=\"font-size:14px;\">Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related quantitative field (or equivalent experience)</span></li><li><span style=\"font-size:14px;\">Experience working across cloud (AWS, Azure) or hybrid data environments </span></li><li><span style=\"font-size:14px;\">Demonstrated hands-on experience with Databricks commensurate with overall years of experience and seniority level</span></li><li>US Citizenship and must be able to obtain and maintain security clearance</li><li><span style=\"font-size:14px;\"><strong>Emerging / Junior Data Engineer:</strong></span><ul><li><span style=\"font-size:14px;\">Foundational knowledge of SQL and Python (or similar language)</span></li><li><span style=\"font-size:14px;\">Exposure to Databricks, Apache Spark, or distributed data processing concepts through coursework, internships, or projects</span></li><li><span style=\"font-size:14px;\">Understanding of basic data modeling and ETL/ELT concepts</span></li><li><span style=\"font-size:14px;\">Ability to work within established pipelines and contribute to data workflows with guidance</span></li></ul></li><li><span style=\"font-size:14px;\"><strong>Mid-Level Data Engineer:</strong></span><ul><li><span style=\"font-size:14px;\">Hands-on experience building and maintaining data pipelines using Databricks and Spark</span></li><li><span style=\"font-size:14px;\">Strong SQL and programming skills (Python and/or Scala)</span></li><li><span style=\"font-size:14px;\">Experience designing data models and optimizing data processing workflows</span></li><li><span style=\"font-size:14px;\">Ability to independently deliver data solutions and troubleshoot performance issues</span></li></ul></li><li><span style=\"font-size:14px;\"><strong>Senior Data Engineer:</strong></span><ul><li><span style=\"font-size:14px;\">Deep expertise in Databricks, Spark, and large-scale data processing architectures</span></li><li><span style=\"font-size:14px;\">Proven ability to design and implement scalable data platforms and lakehouse architectures</span></li><li><span style=\"font-size:14px;\">Strong experience with performance tuning, data reliability, and cost optimization</span></li><li><span style=\"font-size:14px;\">Ability to lead technical design, mentor team members, and influence data engineering best practices</span></li><li><span style=\"font-size:14px;\">Experience working cross-functionally to define data strategy and architecture</span></li></ul></li><li><span style=\"font-size:14px;\">Strong communication skills and ability to work effectively with both technical and non-technical stakeholders</span></li></ul><p><span style=\"font-size:14px;\"><strong>Preferred Qualifications:</strong></span></p><ul><li><span style=\"font-size:14px;\">Experience with Delta Lake and lakehouse architecture pattern</span></li><li><span style=\"font-size:14px;\">Familiarity with modern data stack tools (e.g., dbt, Airflow, or similar orchestration tools)</span></li><li><span style=\"font-size:14px;\">Experience with data governance, cataloging, and lineage tools</span></li><li><span style=\"font-size:14px;\">Experience mentoring junior engineers or leading technical initiatives (senior level)</span></li><li><span style=\"font-size:14px;\">Relevant certifications in data engineering or big data technologies particularly in Databricks</span></li></ul></div><p><br><span style=\"font-size:14px;\"><span style=\"line-height:115%;\"><span style=\"font-family:Aptos, sans-serif;\"><b>About</b><b> Analytica: </b><a href=\"https://www.analytica.net/certifications/sba-8a-certified/\" style=\"color:#467886;text-decoration:underline;\" target=\"_blank\"><b>Analytica</b></a> is a leading consulting and information technology solutions provider to public sector organizations supporting health, civilian, and national security missions. The company is an award-winning <a href=\"https://www.analytica.net/certifications/sba-8a-certified/\" style=\"color:#467886;text-decoration:underline;\" target=\"_blank\"><b>SBA certified small business</b><b> </b></a>that has been recognized by <i>Inc. Magazine </i>each of the past three years as one of the 250 fastest-growing companies in the U.S. Analytica specializes in providing software and systems engineering, information management, analytics & visualization, agile project management, and management consulting services. The company is appraised by the Software Engineering Institute (SEI) at CMMI® Maturity Level 3 and is an ISO 9001:2008 certified provider. </span></span></span></p><p>Analytica LLC is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable federal, state, or local law. As a federal contractor, we comply with the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and take affirmative action to employ and advance in employment qualified protected veterans. We ensure that all employment decisions are based on merit, qualifications, and business needs. We prohibit discrimination and harassment of any kind. Analytica LLC also provides reasonable accommodations to applicants and employees with disabilities, in accordance with applicable law.</p>\n\n<p>To enhance efficiency, fairness, and accuracy, Analytica may use AI-assisted tools to support certain aspects of our hiring process.</p>\n\n<ul>\n\t<li>Application Review: AI tools may help identify skills and experiences relevant to the role.</li>\n\t<li>Interview Support: AI-powered notetaking tools may be used during interviews to document discussions and summarize key points.</li>\n</ul>\n\n<p>These tools are used to assist our team. All hiring decisions are made by Analytica recruiters and hiring managers.</p>\n\n<p>By submitting an application, you acknowledge that AI-assisted tools may be used to support parts of the application and interview process.</p>\n\n<p>When receiving email communication from Analytica, please ensure that the email domain is analytica.net to verify its authenticity.</p>",
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