Data Engineer

{
  "content_hash": "47444adb75da7d0919bdae7d215dd2fd0a71c2cc734c1bbed46d0dabc40148c8",
  "source_hash": "d5d97fa432e3a27f27843e9e766986d20474341110df786f427a1e91820a1012",
  "last_changed_at": "2026-05-31T19:07:40.837Z",
  "active_status": "active"
}

{
  "language": "en",
  "location": {
    "raw": "FL Miami - Aventura, FL 33180; 21500 Biscayne Blvd, Aventura, FL, 33180, USA",
    "city": "Aventura",
    "region": "FL",
    "country": "United States",
    "is_remote": false,
    "confidence": 0.8
  },
  "salary_max": null,
  "salary_min": null,
  "inferred_at": "2026-06-06T09:57:14.274Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "FL Miami - Aventura, FL 33180; 21500 Biscayne Blvd, Aventura, FL, 33180, USA",
      "city": "Aventura",
      "region": "FL",
      "country": "United States",
      "is_remote": false,
      "confidence": 0.8
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": null,
  "salary_period": null,
  "workplace_type": null,
  "salary_currency": null
}

{}

{
  "detail": {
    "city": "Aventura",
    "jobId": 247754,
    "level": "",
    "endDate": "",
    "legalId": 14,
    "isHotJob": false,
    "jobShift": "HQ: Standard 9am to 6pm",
    "jobTitle": "Data Engineer",
    "location": "FL Miami - Aventura, FL 33180",
    "startDate": "",
    "clientCode": "0YW89",
    "remoteType": "",
    "description": "<p><span style=\"font-size:12px;\"><span style=\"background:#FFFFFF;\"><span style=\"line-height:130%;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\">We are seeking an experienced Data Engineer to lead the design, development, and optimization of end-to-end data pipelines and cloud-based solutions. You will be responsible for architecting scalable data and analytic systems, ensuring data integrity, and implementing software engineering best practices and patterns. The ideal candidate has a strong background in ETL, big data technologies, and cloud services, with a proven ability to drive complex projects from concept to production.</span></span></span></span></span></p>\r\n\r\n<p>&nbsp;</p>\r\n\r\n<h1><span style=\"font-size:12px;\"><span style=\"background:#FFFFFF;\"><span style=\"line-height:130%;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#171f35;\">Primary Responsibilities/Essential Functions</span></span></span></span></span></h1>\r\n\r\n<p>&nbsp;</p>\r\n\r\n<p><span style=\"font-size:12px;\"><span style=\"background:#FFFFFF;\"><span style=\"line-height:130%;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\">This job description in no way states or implies that these are the only duties to be performed by the teammate occupying this position. The selected candidate may perform other related duties assigned to meet the ongoing needs of the business.</span></span></span></span></span></p>\r\n\r\n<p>&nbsp;</p>\r\n\r\n<h1><span style=\"font-size:12px;\"><span style=\"background:#FFFFFF;\"><span style=\"line-height:130%;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#171f35;\">Key Responsibilities</span></span></span></span></span></h1>\r\n\r\n<p>&nbsp;</p>\r\n\r\n<p><span style=\"font-size:12px;\"><span style=\"background:#FFFFFF;\"><span style=\"line-height:130%;\"><span style=\"font-family:Arial, sans-serif;\"><b><span style=\"color:#000000;\">Data Architecture and Engineering</span></b></span></span></span></span></p>\r\n\r\n<p style=\"text-indent:-0.25in;margin-left:48px;\"><span style=\"font-size:12px;\"><span style=\"background:#FFFFFF;\"><span style=\"line-height:130%;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"font-family:Symbol;\">&middot; </span><span style=\"color:#000000;\">Design and implement scalable data pipelines for data ingestion, transformation, and storage. </span></span></span></span></span></p>\r\n\r\n<p style=\"text-indent:-0.25in;margin-left:48px;\"><span style=\"font-size:12px;\"><span style=\"background:#FFFFFF;\"><span style=\"line-height:130%;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"font-family:Symbol;\">&middot; </span><span style=\"color:#000000;\">Architect and optimize data lakes and data warehouses to support analytics and reporting needs.</span></span></span></span></span></p>\r\n\r\n<p style=\"text-indent:-0.25in;margin-left:48px;\"><span style=\"font-size:12px;\"><span style=\"background:#FFFFFF;\"><span style=\"line-height:130%;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"font-family:Symbol;\">&middot; </span><span style=\"color:#000000;\">Develop robust ETL processes to integrate structured and unstructured data from diverse sources.</span></span></span></span></span></p>\r\n\r\n<p style=\"text-indent:-0.25in;margin-left:48px;\"><span style=\"font-size:12px;\"><span style=\"background:#FFFFFF;\"><span style=\"line-height:130%;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"font-family:Symbol;\">&middot; </span><span style=\"color:#000000;\">Ensure high data quality through cleaning, validation, and transformation techniques. </span></span></span></span></span></p>\r\n\r\n<p>&nbsp;</p>\r\n\r\n<p><span style=\"font-size:12px;\"><span style=\"background:#FFFFFF;\"><span style=\"line-height:130%;\"><span style=\"font-family:Arial, sans-serif;\"><b><span style=\"color:#000000;\">Cloud and Big Data Solutions</span></b></span></span></span></span></p>\r\n\r\n<p style=\"text-indent:-0.25in;margin-left:48px;\"><span style=\"font-size:12px;\"><span style=\"background:#FFFFFF;\"><span style=\"line-height:130%;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"font-family:Symbol;\">&middot; </span><span style=\"color:#000000;\">Lead the implementation of big data frameworks such as Hadoop and Spark for processing large datasets.</span></span></span></span></span></p>\r\n\r\n<p style=\"text-indent:-0.25in;margin-left:48px;\"><span style=\"font-size:12px;\"><span style=\"background:#FFFFFF;\"><span style=\"line-height:130%;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"font-family:Symbol;\">&middot; </span><span style=\"color:#000000;\">Develop and optimize solutions on cloud platforms, including AWS S3, Azure Data Lake, Google BigQuery, and Snowflake.</span></span></span></span></span></p>\r\n\r\n<p style=\"text-indent:-0.25in;margin-left:48px;\"><span style=\"font-size:12px;\"><span style=\"background:#FFFFFF;\"><span style=\"line-height:130%;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"font-family:Symbol;\">&middot; </span><span style=\"color:#000000;\">Manage data lakes to facilitate efficient data access and processing for downstream applications.</span></span></span></span></span></p>\r\n\r\n<p style=\"text-indent:-0.25in;margin-left:48px;\">&nbsp;</p>\r\n\r\n<p><span style=\"font-size:12px;\"><span style=\"background:#FFFFFF;\"><span style=\"line-height:130%;\"><span style=\"font-family:Arial, sans-serif;\"><b><span style=\"color:#000000;\">Database and Data Warehousing</span></b></span></span></span></span></p>\r\n\r\n<p style=\"text-indent:-0.25in;margin-left:48px;\"><span style=\"font-size:12px;\"><span style=\"background:#FFFFFF;\"><span style=\"line-height:130%;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"font-family:Symbol;\">&middot; </span><span style=\"color:#000000;\">Design, implement, and manage relational (SQL) and non-relational (NoSQL) database systems.</span></span></span></span></span></p>\r\n\r\n<p style=\"text-indent:-0.25in;margin-left:48px;\"><span style=\"font-size:12px;\"><span style=\"background:#FFFFFF;\"><span style=\"line-height:130%;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"font-family:Symbol;\">&middot; </span><span style=\"color:#000000;\">Lead database architecture efforts, including schema design, query optimization, and performance tuning.</span></span></span></span></span></p>\r\n\r\n<p style=\"text-indent:-0.25in;margin-left:48px;\"><span style=\"font-size:12px;\"><span style=\"background:#FFFFFF;\"><span style=\"line-height:130%;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"font-family:Symbol;\">&middot; </span><span style=\"color:#000000;\">Oversee the design and management of data warehouses, ensuring reliability, scalability, and security. </span></span></span></span></span></p>\r\n\r\n<p>&nbsp;</p>\r\n\r\n<p><span style=\"font-size:12px;\"><span style=\"background:#FFFFFF;\"><span style=\"line-height:130%;\"><span style=\"font-family:Arial, sans-serif;\"><b><span style=\"color:#000000;\">Software Development and Automation</span></b></span></span></span></span></p>\r\n\r\n<p style=\"text-indent:-0.25in;margin-left:48px;\"><span style=\"font-size:12px;\"><span style=\"background:#FFFFFF;\"><span style=\"line-height:130%;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"font-family:Symbol;\">&middot; </span><span style=\"color:#000000;\">Utilize Python and SQL to develop efficient, production-ready code for data pipelines and integrations.</span></span></span></span></span></p>\r\n\r\n<p style=\"text-indent:-0.25in;margin-left:48px;\"><span style=\"font-size:12px;\"><span style=\"background:#FFFFFF;\"><span style=\"line-height:130%;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"font-family:Symbol;\">&middot; </span><span style=\"color:#000000;\">Implement scripting automation using Bash and PowerShell to streamline workflows.</span></span></span></span></span></p>\r\n\r\n<p style=\"text-indent:-0.25in;margin-left:48px;\"><span style=\"font-size:12px;\"><span style=\"background:#FFFFFF;\"><span style=\"line-height:130%;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"font-family:Symbol;\">&middot; </span><span style=\"color:#000000;\">Leverage version control (Git) and follow best practices in code optimization, unit testing, and debugging. </span></span></span></span></span></p>\r\n\r\n<p>&nbsp;</p>\r\n\r\n<p><span style=\"font-size:12px;\"><span style=\"background:#FFFFFF;\"><span style=\"line-height:130%;\"><span style=\"font-family:Arial, sans-serif;\"><b><span style=\"color:#000000;\">Collaboration and Leadership</span></b></span></span></span></span></p>\r\n\r\n<p style=\"text-indent:-0.25in;margin-left:48px;\"><span style=\"font-size:12px;\"><span style=\"background:#FFFFFF;\"><span style=\"line-height:130%;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"font-family:Symbol;\">&middot; </span><span style=\"color:#000000;\">Act as a technical leader, providing guidance on best practices.</span></span></span></span></span></p>\r\n\r\n<p style=\"text-indent:-0.25in;margin-left:48px;\"><span style=\"font-size:12px;\"><span style=\"background:#FFFFFF;\"><span style=\"line-height:130%;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"font-family:Symbol;\">&middot; </span><span style=\"color:#000000;\">Collaborate with cross-functional teams (Data Scientists, Software Engineers, Analysts) to meet business objectives.</span></span></span></span></span></p>\r\n\r\n<p style=\"text-indent:-0.25in;margin-left:48px;\"><span style=\"font-size:12px;\"><span style=\"background:#FFFFFF;\"><span style=\"line-height:130%;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"font-family:Symbol;\">&middot; </span><span style=\"color:#000000;\">Drive innovation by evaluating and integrating emerging tools, technologies, and frameworks.</span></span></span></span></span></p>\r\n\r\n<p style=\"text-indent:-0.25in;margin-left:48px;\"><span style=\"font-size:12px;\"><span style=\"background:#FFFFFF;\"><span style=\"line-height:130%;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"font-family:Symbol;\">&middot; </span><span style=\"color:#000000;\">Establish and maintain CI/CD pipelines to ensure efficient deployment and system reliability.</span></span></span></span></span></p>\r\n",
    "jobCategory": "",
    "salaryRange": "",
    "socialMedia": {
      "xLink": null,
      "emailLink": {
        "subject": "Returnpro%20Job%20Opportunity%20Data%20Engineer",
        "summary": "We%20are%20seeking%20an%20experienced%20Data%20Engineer%20to%20lead%20the%20design%2C%20development%2C%20and%20optimization%20of%20end-to-end%20data%20pipelines%20and%20cloud-based%20solutions.%20You%20will%20be%20responsible%20for%20architecting%20scalable%20data%20and%20analytic%20systems%2C%20ensuring%20data%20integrity%2C%20and%20implementing%20software%20engineering%20best%20practices%20and%20patterns.%20The%20ideal%20candidate%20has%20a%20strong%20background%20in%20ETL%2C%20big%20data%20technologies%2C%20and%20cloud%20services%2C%20with%20a%20proven%20ability%20to%20drive%20complex%20projects%20from%20concept%20to%20production.%0D%0A%0D%0A%C2%0D%0A%0D%0APrimary%20Responsibilities%2FEssential%20Functions%0D%0A%0D%0A%C2%0D%0A%0D%0AThis%20job%20description%20in%20no%20way%20states%20or%20implies%20that%20these%20are%20the%20only%20duties%20to%20be%20performed%20by%20the%20teammate%20occupying%20this%20position.%20The%20selected%20candidate%20may%20perform%20other%20related%20duties%20assigned%20to%20meet%20the%20ongoing%20needs%20of%20the%20business.%0D%0A%0D%0A%C2%0D%0A%0D%0AKey%20Responsibilities%0D%0A%0D%0A%C2%0D%0A%0D%0AData%20Architecture%20and%20Engineering%0D%0A%0D%0A%C2%B7%20Design%20and%20implement%20scalable%20data%20pipelines%20for%20data%20ingestion%2C%20transformation%2C%20and%20storage.%20%0D%0A%0D%0A%C2%B7%20Architect%20and%20optimize%20data%20lakes%20and%20data..."
      },
      "facebookLink": null,
      "linkedInLink": {}
    },
    "isQuickApply": false,
    "positionType": "Full Time",
    "countryPaidIn": "",
    "googleJobJson": "{\"@context\":\"https://schema.org/\",\"@type\":\"JobPosting\",\"title\":\"Data Engineer\",\"identifier\":\"J0YW89247754\",\"url\":\"https://www.paycomonline.net/v4/ats/web.php/portal/AA674B442E9B6A1284BD7F78CB0C3E73/jobs/247754\",\"image\":\"https://www.paycomonline.net/v4/ats/web.php/application/style/logo?clientkey=AA674B442E9B6A1284BD7F78CB0C3E73\",\"datePosted\":\"2025-11-13\",\"description\":\"Job DetailsJob Location: FL Miami - Aventura, FL 33180Position Type: Full TimeJob Shift: HQ: Standard 9am to 6pmWe are seeking an experienced Data Engineer to lead the design, development, and optimization of end-to-end data pipelines and cloud-based solutions. You will be responsible for architecting scalable data and analytic systems, ensuring data integrity, and implementing software engineering best practices and patterns. The ideal candidate has a strong background in ETL, big data technologies, and cloud services, with a proven ability to drive complex projects from concept to production.\\r\\n\\r\\n&nbsp;\\r\\n\\r\\nPrimary Responsibilities/Essential Functions\\r\\n\\r\\n&nbsp;\\r\\n\\r\\nThis job description in no way states or implies that these are the only duties to be performed by the teammate occupying this position. The selected candidate may perform other related duties assigned to meet the ongoing needs of the business.\\r\\n\\r\\n&nbsp;\\r\\n\\r\\nKey Responsibilities\\r\\n\\r\\n&nbsp;\\r\\n\\r\\nData Architecture and Engineering\\r\\n\\r\\n&middot; Design and implement scalable data pipelines for data ingestion, transformation, and storage. \\r\\n\\r\\n&middot; Architect and optimize data lakes and data warehouses to support analytics and reporting needs.\\r\\n\\r\\n&middot; Develop robust ETL processes to integrate structured and unstructured data from diverse sources.\\r\\n\\r\\n&middot; Ensure high data quality through cleaning, validation, and transformation techniques. \\r\\n\\r\\n&nbsp;\\r\\n\\r\\nCloud and Big Data Solutions\\r\\n\\r\\n&middot; Lead the implementation of big data frameworks such as Hadoop and Spark for processing large datasets.\\r\\n\\r\\n&middot; Develop and optimize solutions on cloud platforms, including AWS S3, Azure Data Lake, Google BigQuery, and Snowflake.\\r\\n\\r\\n&middot; Manage data lakes to facilitate efficient data access and processing for downstream applications.\\r\\n\\r\\n&nbsp;\\r\\n\\r\\nDatabase and Data Warehousing\\r\\n\\r\\n&middot; Design, implement, and manage relational (SQL) and non-relational (NoSQL) database systems.\\r\\n\\r\\n&middot; Lead database architecture efforts, including schema design, query optimization, and performance tuning.\\r\\n\\r\\n&middot; Oversee the design and management of data warehouses, ensuring reliability, scalability, and security. \\r\\n\\r\\n&nbsp;\\r\\n\\r\\nSoftware Development and Automation\\r\\n\\r\\n&middot; Utilize Python and SQL to develop efficient, production-ready code for data pipelines and integrations.\\r\\n\\r\\n&middot; Implement scripting automation using Bash and PowerShell to streamline workflows.\\r\\n\\r\\n&middot; Leverage version control (Git) and follow best practices in code optimization, unit testing, and debugging. \\r\\n\\r\\n&nbsp;\\r\\n\\r\\nCollaboration and Leadership\\r\\n\\r\\n&middot; Act as a technical leader, providing guidance on best practices.\\r\\n\\r\\n&middot; Collaborate with cross-functional teams (Data Scientists, Software Engineers, Analysts) to meet business objectives.\\r\\n\\r\\n&middot; Drive innovation by evaluating and integrating emerging tools, technologies, and frameworks.\\r\\n\\r\\n&middot; Establish and maintain CI/CD pipelines to ensure efficient deployment and system reliability.\\r\\nQualificationsRequired:\\r\\n\\r\\n&middot; Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Engineering, or a related field.\\r\\n\\r\\n&middot; 5+ years of experience as a Data Engineer with expertise in building large-scale data solutions.\\r\\n\\r\\n&middot; Proficiency in Python, SQL, and scripting languages (Bash, PowerShell). \\r\\n\\r\\n&middot; Deep understanding of big data tools (Hadoop, Spark) and ETL processes.\\r\\n\\r\\n&middot; Hands-on experience with cloud platforms (AWS S3, Azure Data Lake, Google BigQuery, Snowflake).\\r\\n\\r\\n&middot; Strong knowledge of database systems (SQL, NoSQL), database design, and query optimization.\\r\\n\\r\\n&middot; Experience designing and managing data warehouses for performance and scalability.\\r\\n\\r\\n&middot; Proficiency in software engineering practices: version control (Git), CI/CD pipelines, and unit testing.\\r\\n\\r\\n&nbsp;\\r\\n\\r\\nPreferred\\r\\n\\r\\n&middot; Strong experience in software architecture, design patterns, and code optimization.\\r\\n\\r\\n&middot; Expertise in Python-based pipelines and ETL frameworks.\\r\\n\\r\\n&middot; Experience with Azure Data Services and Databricks.\\r\\n\\r\\n&middot; Excellent problem-solving, analytical, and communication skills.\\r\\n\\r\\n&middot; Experience working in agile environments and collaborating with diverse teams.\\r\\n\",\"responsibilities\":\"We are seeking an experienced Data Engineer to lead the design, development, and optimization of end-to-end data pipelines and cloud-based solutions. You will be responsible for architecting scalable data and analytic systems, ensuring data integrity, and implementing software engineering best practices and patterns. The ideal candidate has a strong background in ETL, big data technologies, and cloud services, with a proven ability to drive complex projects from concept to production.\\r\\n\\r\\n&nbsp;\\r\\n\\r\\nPrimary Responsibilities/Essential Functions\\r\\n\\r\\n&nbsp;\\r\\n\\r\\nThis job description in no way states or implies that these are the only duties to be performed by the teammate occupying this position. The selected candidate may perform other related duties assigned to meet the ongoing needs of the business.\\r\\n\\r\\n&nbsp;\\r\\n\\r\\nKey Responsibilities\\r\\n\\r\\n&nbsp;\\r\\n\\r\\nData Architecture and Engineering\\r\\n\\r\\n&middot; Design and implement scalable data pipelines for data ingestion, transformation, and storage. \\r\\n\\r\\n&middot; Architect and optimize data lakes and data warehouses to support analytics and reporting needs.\\r\\n\\r\\n&middot; Develop robust ETL processes to integrate structured and unstructured data from diverse sources.\\r\\n\\r\\n&middot; Ensure high data quality through cleaning, validation, and transformation techniques. \\r\\n\\r\\n&nbsp;\\r\\n\\r\\nCloud and Big Data Solutions\\r\\n\\r\\n&middot; Lead the implementation of big data frameworks such as Hadoop and Spark for processing large datasets.\\r\\n\\r\\n&middot; Develop and optimize solutions on cloud platforms, including AWS S3, Azure Data Lake, Google BigQuery, and Snowflake.\\r\\n\\r\\n&middot; Manage data lakes to facilitate efficient data access and processing for downstream applications.\\r\\n\\r\\n&nbsp;\\r\\n\\r\\nDatabase and Data Warehousing\\r\\n\\r\\n&middot; Design, implement, and manage relational (SQL) and non-relational (NoSQL) database systems.\\r\\n\\r\\n&middot; Lead database architecture efforts, including schema design, query optimization, and performance tuning.\\r\\n\\r\\n&middot; Oversee the design and management of data warehouses, ensuring reliability, scalability, and security. \\r\\n\\r\\n&nbsp;\\r\\n\\r\\nSoftware Development and Automation\\r\\n\\r\\n&middot; Utilize Python and SQL to develop efficient, production-ready code for data pipelines and integrations.\\r\\n\\r\\n&middot; Implement scripting automation using Bash and PowerShell to streamline workflows.\\r\\n\\r\\n&middot; Leverage version control (Git) and follow best practices in code optimization, unit testing, and debugging. \\r\\n\\r\\n&nbsp;\\r\\n\\r\\nCollaboration and Leadership\\r\\n\\r\\n&middot; Act as a technical leader, providing guidance on best practices.\\r\\n\\r\\n&middot; Collaborate with cross-functional teams (Data Scientists, Software Engineers, Analysts) to meet business objectives.\\r\\n\\r\\n&middot; Drive innovation by evaluating and integrating emerging tools, technologies, and frameworks.\\r\\n\\r\\n&middot; Establish and maintain CI/CD pipelines to ensure efficient deployment and system reliability.\\r\\n\",\"employmentType\":\"FULL_TIME\",\"hiringOrganization\":{\"@type\":\"Organization\",\"name\":\"ReturnPro\",\"logo\":\"https://www.paycomonline.net/v4/ats/web.php/application/style/logo?clientkey=AA674B442E9B6A1284BD7F78CB0C3E73\"},\"jobLocation\":{\"@type\":\"Place\",\"address\":{\"streetAddress\":\"21500 Biscayne Blvd\",\"addressLocality\":\"Aventura\",\"addressRegion\":\"FL\",\"postalCode\":33180,\"addressCountry\":\"USA\"}},\"qualifications\":\"Required:\\r\\n\\r\\n&middot; Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Engineering, or a related field.\\r\\n\\r\\n&middot; 5+ years of experience as a Data Engineer with expertise in building large-scale data solutions.\\r\\n\\r\\n&middot; Proficiency in Python, SQL, and scripting languages (Bash, PowerShell). \\r\\n\\r\\n&middot; Deep understanding of big data tools (Hadoop, Spark) and ETL processes.\\r\\n\\r\\n&middot; Hands-on experience with cloud platforms (AWS S3, Azure Data Lake, Google BigQuery, Snowflake).\\r\\n\\r\\n&middot; Strong knowledge of database systems (SQL, NoSQL), database design, and query optimization.\\r\\n\\r\\n&middot; Experience designing and managing data warehouses for performance and scalability.\\r\\n\\r\\n&middot; Proficiency in software engineering practices: version control (Git), CI/CD pipelines, and unit testing.\\r\\n\\r\\n&nbsp;\\r\\n\\r\\nPreferred\\r\\n\\r\\n&middot; Strong experience in software architecture, design patterns, and code optimization.\\r\\n\\r\\n&middot; Expertise in Python-based pipelines and ETL frameworks.\\r\\n\\r\\n&middot; Experience with Azure Data Services and Databricks.\\r\\n\\r\\n&middot; Excellent problem-solving, analytical, and communication skills.\\r\\n\\r\\n&middot; Experience working in agile environments and collaborating with diverse teams.\\r\\n\",\"experienceRequirements\":\"Required:\\r\\n\\r\\n&middot; Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Engineering, or a related field.\\r\\n\\r\\n&middot; 5+ years of experience as a Data Engineer with expertise in building large-scale data solutions.\\r\\n\\r\\n&middot; Proficiency in Python, SQL, and scripting languages (Bash, PowerShell). \\r\\n\\r\\n&middot; Deep understanding of big data tools (Hadoop, Spark) and ETL processes.\\r\\n\\r\\n&middot; Hands-on experience with cloud platforms (AWS S3, Azure Data Lake, Google BigQuery, Snowflake).\\r\\n\\r\\n&middot; Strong knowledge of database systems (SQL, NoSQL), database design, and query optimization.\\r\\n\\r\\n&middot; Experience designing and managing data warehouses for performance and scalability.\\r\\n\\r\\n&middot; Proficiency in software engineering practices: version control (Git), CI/CD pipelines, and unit testing.\\r\\n\\r\\n&nbsp;\\r\\n\\r\\nPreferred\\r\\n\\r\\n&middot; Strong experience in software architecture, design patterns, and code optimization.\\r\\n\\r\\n&middot; Expertise in Python-based pipelines and ETL frameworks.\\r\\n\\r\\n&middot; Experience with Azure Data Services and Databricks.\\r\\n\\r\\n&middot; Excellent problem-solving, analytical, and communication skills.\\r\\n\\r\\n&middot; Experience working in agile environments and collaborating with diverse teams.\\r\\n\",\"validThrough\":\"-0001-11-30\",\"workHours\":\"HQ: Standard 9am to 6pm\"}",
    "applyAvailable": true,
    "educationLevel": "",
    "qualifications": "<p><span style=\"font-size:12px;\"><span style=\"background:#FFFFFF;\"><span style=\"line-height:130%;\"><span style=\"font-family:Arial, sans-serif;\"><b><span style=\"color:#000000;\">Required:</span></b></span></span></span></span></p>\r\n\r\n<p style=\"text-indent:-0.25in;margin-left:48px;\"><span style=\"font-size:12px;\"><span style=\"background:#FFFFFF;\"><span style=\"line-height:130%;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"font-family:Symbol;\">&middot; </span><span style=\"color:#000000;\">Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Engineering, or a related field.</span></span></span></span></span></p>\r\n\r\n<p style=\"text-indent:-0.25in;margin-left:48px;\"><span style=\"font-size:12px;\"><span style=\"background:#FFFFFF;\"><span style=\"line-height:130%;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"font-family:Symbol;\">&middot; </span><span style=\"color:#000000;\">5+ years of experience as a Data Engineer with expertise in building large-scale data solutions.</span></span></span></span></span></p>\r\n\r\n<p style=\"text-indent:-0.25in;margin-left:48px;\"><span style=\"font-size:12px;\"><span style=\"background:#FFFFFF;\"><span style=\"line-height:130%;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"font-family:Symbol;\">&middot; </span><span style=\"color:#000000;\">Proficiency in Python, SQL, and scripting languages (Bash, PowerShell). </span></span></span></span></span></p>\r\n\r\n<p style=\"text-indent:-0.25in;margin-left:48px;\"><span style=\"font-size:12px;\"><span style=\"background:#FFFFFF;\"><span style=\"line-height:130%;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"font-family:Symbol;\">&middot; </span><span style=\"color:#000000;\">Deep understanding of big data tools (Hadoop, Spark) and ETL processes.</span></span></span></span></span></p>\r\n\r\n<p style=\"text-indent:-0.25in;margin-left:48px;\"><span style=\"font-size:12px;\"><span style=\"background:#FFFFFF;\"><span style=\"line-height:130%;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"font-family:Symbol;\">&middot; </span><span style=\"color:#000000;\">Hands-on experience with cloud platforms (AWS S3, Azure Data Lake, Google BigQuery, Snowflake).</span></span></span></span></span></p>\r\n\r\n<p style=\"text-indent:-0.25in;margin-left:48px;\"><span style=\"font-size:12px;\"><span style=\"background:#FFFFFF;\"><span style=\"line-height:130%;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"font-family:Symbol;\">&middot; </span><span style=\"color:#000000;\">Strong knowledge of database systems (SQL, NoSQL), database design, and query optimization.</span></span></span></span></span></p>\r\n\r\n<p style=\"text-indent:-0.25in;margin-left:48px;\"><span style=\"font-size:12px;\"><span style=\"background:#FFFFFF;\"><span style=\"line-height:130%;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"font-family:Symbol;\">&middot; </span><span style=\"color:#000000;\">Experience designing and managing data warehouses for performance and scalability.</span></span></span></span></span></p>\r\n\r\n<p style=\"text-indent:-0.25in;margin-left:48px;\"><span style=\"font-size:12px;\"><span style=\"background:#FFFFFF;\"><span style=\"line-height:130%;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"font-family:Symbol;\">&middot; </span><span style=\"color:#000000;\">Proficiency in software engineering practices: version control (Git), CI/CD pipelines, and unit testing.</span></span></span></span></span></p>\r\n\r\n<p>&nbsp;</p>\r\n\r\n<p><span style=\"font-size:12px;\"><span style=\"background:#FFFFFF;\"><span style=\"line-height:130%;\"><span style=\"font-family:Arial, sans-serif;\"><b><span style=\"color:#000000;\">Preferred</span></b></span></span></span></span></p>\r\n\r\n<p style=\"text-indent:-0.25in;margin-left:48px;\"><span style=\"font-size:12px;\"><span style=\"background:#FFFFFF;\"><span style=\"line-height:130%;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"font-family:Symbol;\">&middot; </span><span style=\"color:#000000;\">Strong experience in software architecture, design patterns, and code optimization.</span></span></span></span></span></p>\r\n\r\n<p style=\"text-indent:-0.25in;margin-left:48px;\"><span style=\"font-size:12px;\"><span style=\"background:#FFFFFF;\"><span style=\"line-height:130%;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"font-family:Symbol;\">&middot; </span><span style=\"color:#000000;\">Expertise in Python-based pipelines and ETL frameworks.</span></span></span></span></span></p>\r\n\r\n<p style=\"text-indent:-0.25in;margin-left:48px;\"><span style=\"font-size:12px;\"><span style=\"background:#FFFFFF;\"><span style=\"line-height:130%;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"font-family:Symbol;\">&middot; </span><span style=\"color:#000000;\">Experience with Azure Data Services and Databricks.</span></span></span></span></span></p>\r\n\r\n<p style=\"text-indent:-0.25in;margin-left:48px;\"><span style=\"font-size:12px;\"><span style=\"background:#FFFFFF;\"><span style=\"line-height:130%;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"font-family:Symbol;\">&middot; </span><span style=\"color:#000000;\">Excellent problem-solving, analytical, and communication skills.</span></span></span></span></span></p>\r\n\r\n<p style=\"text-indent:-0.25in;margin-left:48px;\"><span style=\"font-size:12px;\"><span style=\"background:#FFFFFF;\"><span style=\"line-height:130%;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"font-family:Symbol;\">&middot; </span><span style=\"color:#000000;\">Experience working in agile environments and collaborating with diverse teams.</span></span></span></span></span></p>\r\n",
    "descriptionTitle": "Description",
    "travelPercentage": "",
    "jobYoutubeVideoId": "",
    "legalRevisionDate": {
      "date": "2025-08-01T09:50:49.000Z",
      "timezone": "America/Chicago",
      "timezone_type": 3
    },
    "secondaryLocations": [],
    "primaryPhoneCountry": "US",
    "primaryPhoneEnabled": true,
    "qualificationsTitle": "Qualifications",
    "primaryPhoneRequired": true,
    "primaryPhoneNumberDoesNotExist": false
  },
  "preview": {
    "jobId": 247754,
    "isHotJob": false,
    "jobTitle": "Data Engineer",
    "postedOn": "",
    "locations": "FL Miami - Aventura, FL 33180",
    "remoteType": "",
    "description": "We are seeking an experienced Data Engineer to lead the design, development, and optimization of end-to-end data pipelines and cloud-based solutions. ...",
    "positionType": "Full Time"
  },
  "detail_meta": {
    "url": "https://portal-applicant-tracking.us-cent.paycomonline.net/api/ats/job-postings/247754",
    "http_status": 200,
    "content_type": "application/json",
    "response_bytes": 39415
  },
  "detail_errors": []
}