{"schemaVersion":"jobsearcher.job.v1","id":"e863f0617c60d17400f67ff1","url":"https://jobsearcher.com/jobs/e863f0617c60d17400f67ff1","canonicalUrl":"https://jobsearcher.com/jobs/e863f0617c60d17400f67ff1","title":"Senior Big Data Developer","description":"Position Overview\nWe are seeking an experienced Senior Big Data Developer to design, develop, and optimize enterprise data platforms, data pipelines, and analytics solutions. This individual will play a key role in expanding and enhancing data architecture capabilities, enabling efficient ingestion, organization, processing, and visualization of large-scale data assets. The ideal candidate combines strong data engineering expertise with hands-on experience in database design, data modeling, cloud technologies, and scalable data processing frameworks.\nKey Responsibilities\nDesign, develop, and maintain enterprise data architectures, databases, data lakes, and scalable data platforms.\nBuild, optimize, and automate ETL/ELT workflows and data integration pipelines.\nDevelop and maintain scalable data processing frameworks capable of handling high-volume structured and unstructured data.\nCollaborate with business stakeholders, analysts, researchers, and technical teams to understand data requirements and deliver effective solutions.\nImprove existing data systems and recommend enhancements to increase performance, reliability, and scalability.\nDesign and implement optimal data delivery architectures to support analytics, reporting, forecasting, and operational needs.\nPerform root cause analysis on data issues and business processes to identify opportunities for improvement.\nSupport migration of data pipelines and workflows between on-premises and cloud environments.\nImplement data governance, quality, security, and operational best practices.\nContribute to software development lifecycle activities, including development, testing, deployment, and maintenance of data applications and services.\nDesign and communicate enterprise information architecture at conceptual, logical, and physical levels.\nRequired Qualifications\nBachelor’s degree in Computer Science, Information Technology, Engineering, or a related technical field.\nMinimum of 7 years of experience in data engineering, data architecture, database administration, or related disciplines.\nAdvanced proficiency in SQL and experience with relational database platforms such as PostgreSQL, Microsoft SQL Server, and MySQL.\nAdvanced programming experience with Python, R, and other scripting languages used for data engineering and analytics.\nExperience working with large-scale data systems, distributed computing environments, and scalable data processing architectures.\nExperience designing, developing, and automating ETL/ELT workflows and data integration solutions.\nExperience building, optimizing, and maintaining scalable databases and data pipelines.\nStrong software engineering background, including development, testing, and deployment of data-driven applications.\nExperience working in Linux environments and utilizing source control platforms such as GitHub and GitLab.\nExcellent analytical, troubleshooting, problem-solving, verbal communication, and written communication skills.\nStrong customer-service orientation and ability to work independently in a collaborative environment.\nPreferred Qualifications\nAdvanced degree in a technical discipline.\nExperience with workflow orchestration and automation tools such as Apache Airflow, Prefect, Dagster, or AWS Step Functions.\nExperience with cloud platforms including AWS, Microsoft Azure, and Snowflake.\nExperience implementing data warehouses utilizing Change Data Capture (CDC) methodologies.\nExperience implementing and maintaining CI/CD pipelines and DataOps practices.\nExperience with NoSQL and graph database technologies.\nExperience developing, training, deploying, and maintaining machine learning models.\nKnowledge of time-series data management, analytics, and forecasting techniques.\nExperience integrating structured and unstructured data sources.\nWorking knowledge of additional programming languages such as Java, Scala, JavaScript, or Perl.\nExperience supporting analytics, research, financial, scientific, or data-intensive environments.\nCore Competencies\nData Architecture & Modeling\nBig Data Engineering\nCloud Data Platforms\nETL/ELT Development\nDatabase Design & Administration\nData Integration & Automation\nDataOps & CI/CD\nMachine Learning Enablement\nEnterprise Information Architecture\nPerformance Optimization & Troubleshooting\nCross-Functional Collaboration\nStrategic Problem Solving\nPay: $65.00 - $75.00 per hour\nBenefits:\n401(k) matching\nDental insurance\nHealth insurance\nPaid time off\nVision insurance\nWork Location: In person","company":"Ecco Select","rawCompany":"ecco select","city":"Alexandria","state":"VA","isRemote":false,"isActive":false,"createdAt":"2026-07-19T15:52:31.100Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Big Data Developer","description":"Position Overview\nWe are seeking an experienced Senior Big Data Developer to design, develop, and optimize enterprise data platforms, data pipelines, and analytics solutions. This individual will play a key role in expanding and enhancing data architecture capabilities, enabling efficient ingestion, organization, processing, and visualization of large-scale data assets. The ideal candidate combines strong data engineering expertise with hands-on experience in database design, data modeling, cloud technologies, and scalable data processing frameworks.\nKey Responsibilities\nDesign, develop, and maintain enterprise data architectures, databases, data lakes, and scalable data platforms.\nBuild, optimize, and automate ETL/ELT workflows and data integration pipelines.\nDevelop and maintain scalable data processing frameworks capable of handling high-volume structured and unstructured data.\nCollaborate with business stakeholders, analysts, researchers, and technical teams to understand data requirements and deliver effective solutions.\nImprove existing data systems and recommend enhancements to increase performance, reliability, and scalability.\nDesign and implement optimal data delivery architectures to support analytics, reporting, forecasting, and operational needs.\nPerform root cause analysis on data issues and business processes to identify opportunities for improvement.\nSupport migration of data pipelines and workflows between on-premises and cloud environments.\nImplement data governance, quality, security, and operational best practices.\nContribute to software development lifecycle activities, including development, testing, deployment, and maintenance of data applications and services.\nDesign and communicate enterprise information architecture at conceptual, logical, and physical levels.\nRequired Qualifications\nBachelor’s degree in Computer Science, Information Technology, Engineering, or a related technical field.\nMinimum of 7 years of experience in data engineering, data architecture, database administration, or related disciplines.\nAdvanced proficiency in SQL and experience with relational database platforms such as PostgreSQL, Microsoft SQL Server, and MySQL.\nAdvanced programming experience with Python, R, and other scripting languages used for data engineering and analytics.\nExperience working with large-scale data systems, distributed computing environments, and scalable data processing architectures.\nExperience designing, developing, and automating ETL/ELT workflows and data integration solutions.\nExperience building, optimizing, and maintaining scalable databases and data pipelines.\nStrong software engineering background, including development, testing, and deployment of data-driven applications.\nExperience working in Linux environments and utilizing source control platforms such as GitHub and GitLab.\nExcellent analytical, troubleshooting, problem-solving, verbal communication, and written communication skills.\nStrong customer-service orientation and ability to work independently in a collaborative environment.\nPreferred Qualifications\nAdvanced degree in a technical discipline.\nExperience with workflow orchestration and automation tools such as Apache Airflow, Prefect, Dagster, or AWS Step Functions.\nExperience with cloud platforms including AWS, Microsoft Azure, and Snowflake.\nExperience implementing data warehouses utilizing Change Data Capture (CDC) methodologies.\nExperience implementing and maintaining CI/CD pipelines and DataOps practices.\nExperience with NoSQL and graph database technologies.\nExperience developing, training, deploying, and maintaining machine learning models.\nKnowledge of time-series data management, analytics, and forecasting techniques.\nExperience integrating structured and unstructured data sources.\nWorking knowledge of additional programming languages such as Java, Scala, JavaScript, or Perl.\nExperience supporting analytics, research, financial, scientific, or data-intensive environments.\nCore Competencies\nData Architecture & Modeling\nBig Data Engineering\nCloud Data Platforms\nETL/ELT Development\nDatabase Design & Administration\nData Integration & Automation\nDataOps & CI/CD\nMachine Learning Enablement\nEnterprise Information Architecture\nPerformance Optimization & Troubleshooting\nCross-Functional Collaboration\nStrategic Problem Solving\nPay: $65.00 - $75.00 per hour\nBenefits:\n401(k) matching\nDental insurance\nHealth insurance\nPaid time off\nVision insurance\nWork Location: In person","datePosted":"2026-07-19T15:52:31.100Z","dateModified":"2026-07-19T15:52:31.100Z","hiringOrganization":{"@type":"Organization","name":"Ecco Select","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Alexandria","addressRegion":"VA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"e863f0617c60d17400f67ff1"},"url":"https://jobsearcher.com/jobs/e863f0617c60d17400f67ff1"}}