{"schemaVersion":"jobsearcher.job.v1","id":"5af8aca00a421641a05a89de","url":"https://jobsearcher.com/jobs/5af8aca00a421641a05a89de","canonicalUrl":"https://jobsearcher.com/jobs/5af8aca00a421641a05a89de","title":"Senior Data Engineer (Azure Data Factory Databricks, PostgreSQL, Python) -(USC or GC only) - Local candidates only","description":"Senior Data Engineer (PostgreSQL, Python, Azure)\nLocation : Reston VA (on-site 9-10 days a month) - Only local candidates will be considered.\nSalary: Open and will be commensurate with experience.\n\nNOTE: This is a full time position and this person must be a Green Card Holder or be a US Citizen of the United States, as per the company, due to government compliance.\n\nMust have the following:\nAzure Data Factory, Databricks, Python, SQL, ETL/ELT pipelines, Data Lake, Spark, Data Engineering, Cloud Data Platforms, CI/CD\nResponsibilities:\nDesign, build, and maintain scalable production data pipelines supporting enterprise data platforms\nPerform exploratory data analysis, statistical analysis, and data validation to support analytics and reporting\nDevelop and optimize ETL/ELT workflows including job design, orchestration, and performance tuning\nBuild and maintain relational database schemas, queries, and stored procedures\nWork within Azure-based data environments including Data Factory, Databricks, and Data Lake Storage\nCollaborate with analytics, BI, and engineering teams to deliver reliable data products\nImplement monitoring, logging, and observability for data pipelines\nMaintain documentation, data lineage, and governance standards\nParticipate in architecture discussions and contribute to long-term data platform strategy\nRequirements:\nBachelor's degree in Computer Science, Statistics, Mathematics, Information Science, Data Engineering, Finance, or related field (Master's preferred)\n5+ years of data engineering experience working with production data pipelines\n5+ years of applied data analysis and statistical data work\n3+ years of ETL / ELT development experience\n3+ years working with relational databases and performance tuning\nExperience with Azure data services (Data Factory, Databricks, Data Lake, Synapse, Delta Lake, or similar)\nStrong programming experience with Python, PySpark, SQL, and Bash\nExperience with Kafka, SAP data services, or similar integration tools preferred\nExperience with PostgreSQL, SAP ASE, or comparable databases\nExperience with Power BI or BusinessObjects is a plus\nExperience with CI/CD pipelines, Git, Kubernetes, and infrastructure-as-code\nKnowledge of data governance, cataloging, and access control\nExperience with monitoring tools such as Datadog, Grafana, or Prometheus\nAbility to work independently while managing multiple priorities\nStrong communication and documentation skills\nMust be eligible to work in the United States\nINDH\nSenior Data Engineer, Azure Data Factory, Databricks, Python, SQL, ETL, ELT, Data Pipelines, Data Lake, Spark, Delta Lake, Azure Synapse, Cloud Data Platform, Data Engineering, Big Data, Kafka, PostgreSQL, SAP Data Services, Power BI, CI/CD, Kubernetes, Data Governance, Data Lineage, Analytics Engineering, Data Integration, Financial Data, Enterprise Data, Data Architecture, BI Reporting, PySpark, Bash, Cloud Engineering, Data Warehouse, Data Modeling, Observability, Grafana, Prometheus, Datadog, Azure Cloud, Data Platform Engineer, Statistical Analysis","company":"Careerdevelopers","rawCompany":"careerdevelopers","city":"Reston","state":"VA","isRemote":false,"isActive":false,"createdAt":"2026-08-04T21:56:58.669Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"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 Data Engineer (Azure Data Factory Databricks, PostgreSQL, Python) -(USC or GC only) - Local candidates only","description":"Senior Data Engineer (PostgreSQL, Python, Azure)\nLocation : Reston VA (on-site 9-10 days a month) - Only local candidates will be considered.\nSalary: Open and will be commensurate with experience.\n\nNOTE: This is a full time position and this person must be a Green Card Holder or be a US Citizen of the United States, as per the company, due to government compliance.\n\nMust have the following:\nAzure Data Factory, Databricks, Python, SQL, ETL/ELT pipelines, Data Lake, Spark, Data Engineering, Cloud Data Platforms, CI/CD\nResponsibilities:\nDesign, build, and maintain scalable production data pipelines supporting enterprise data platforms\nPerform exploratory data analysis, statistical analysis, and data validation to support analytics and reporting\nDevelop and optimize ETL/ELT workflows including job design, orchestration, and performance tuning\nBuild and maintain relational database schemas, queries, and stored procedures\nWork within Azure-based data environments including Data Factory, Databricks, and Data Lake Storage\nCollaborate with analytics, BI, and engineering teams to deliver reliable data products\nImplement monitoring, logging, and observability for data pipelines\nMaintain documentation, data lineage, and governance standards\nParticipate in architecture discussions and contribute to long-term data platform strategy\nRequirements:\nBachelor's degree in Computer Science, Statistics, Mathematics, Information Science, Data Engineering, Finance, or related field (Master's preferred)\n5+ years of data engineering experience working with production data pipelines\n5+ years of applied data analysis and statistical data work\n3+ years of ETL / ELT development experience\n3+ years working with relational databases and performance tuning\nExperience with Azure data services (Data Factory, Databricks, Data Lake, Synapse, Delta Lake, or similar)\nStrong programming experience with Python, PySpark, SQL, and Bash\nExperience with Kafka, SAP data services, or similar integration tools preferred\nExperience with PostgreSQL, SAP ASE, or comparable databases\nExperience with Power BI or BusinessObjects is a plus\nExperience with CI/CD pipelines, Git, Kubernetes, and infrastructure-as-code\nKnowledge of data governance, cataloging, and access control\nExperience with monitoring tools such as Datadog, Grafana, or Prometheus\nAbility to work independently while managing multiple priorities\nStrong communication and documentation skills\nMust be eligible to work in the United States\nINDH\nSenior Data Engineer, Azure Data Factory, Databricks, Python, SQL, ETL, ELT, Data Pipelines, Data Lake, Spark, Delta Lake, Azure Synapse, Cloud Data Platform, Data Engineering, Big Data, Kafka, PostgreSQL, SAP Data Services, Power BI, CI/CD, Kubernetes, Data Governance, Data Lineage, Analytics Engineering, Data Integration, Financial Data, Enterprise Data, Data Architecture, BI Reporting, PySpark, Bash, Cloud Engineering, Data Warehouse, Data Modeling, Observability, Grafana, Prometheus, Datadog, Azure Cloud, Data Platform Engineer, Statistical Analysis","datePosted":"2026-08-04T21:56:58.669Z","dateModified":"2026-08-04T21:56:58.669Z","hiringOrganization":{"@type":"Organization","name":"Careerdevelopers","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Reston","addressRegion":"VA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"5af8aca00a421641a05a89de"},"url":"https://jobsearcher.com/jobs/5af8aca00a421641a05a89de"}}