{"schemaVersion":"jobsearcher.job.v1","id":"cf3bd7689000a29cb0f997f0","url":"https://jobsearcher.com/jobs/cf3bd7689000a29cb0f997f0","canonicalUrl":"https://jobsearcher.com/jobs/cf3bd7689000a29cb0f997f0","title":"Senior Data Engineer - AWS, ETL & Data Platforms","description":"Overview\r\nIn today's rapidly evolving technology landscape, an organization's data has never been a more important aspect in achieving mission and business goals. Our data exploitation experts work with our clients to support their mission and business goals by creating and executing a comprehensive data strategy using the best technology and techniques, given the challenge.\r\nAt Steampunk, our goal is to build and execute a data strategy for our clients to coordinate data collection and generation, to align the organization and its data assets in support of the mission, and ultimately to realize mission goals with the strongest effectiveness possible.\r\nFor our clients, data is a strategic asset. They are looking to become a facts-based, data-driven, customer-focused organization. To help realize this goal, they are leveraging visual analytics platforms to analyze, visualize, and share information. At Steampunk you will design and develop solutions to high-impact, complex data problems, working with the best and data practitioners around. Our data exploitation approach is tightly integrated with Human-Centered Design and DevSecOps.\r\nContributions\r\nWe are looking for seasoned Data Engineer to work with our team and our clients to develop enterprise grade data platforms, services, and pipelines. We are looking for a more than just a Data Engineer, but a technologist with excellent communication and customer service skills and a passion for data and problem solving.\r\nLead and architect migration of data environments with performance and reliability.\r\nAssess and understand the ETL jobs, workflows, BI tools, and reports\r\nAddress technical inquiries concerning customization, integration, enterprise architecture and general feature / functionality of data products\r\nExperience in crafting database / data warehouse solutions in cloud (Preferably AWS. Alternatively Azure, GCP).\r\nKey must have skill sets – Python, AWS\r\nSupport an Agile software development lifecycle\r\nYou will contribute to the growth of our Data Exploitation Practice!\r\nQualifications\r\nUS Citizen Only\r\nAbility to hold a position of public trust with the US government.\r\n5+ years industry experience coding commercial software and a passion for solving complex problems.\r\n5+ years direct experience in Data Engineering with experience in tools such as: Big data tools: Hadoop, Spark, Kafka, etc.\r\nRelational SQL and NoSQL databases, including Postgres and Cassandra.\r\nData pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.\r\nAWS cloud services: EC2, EMR, RDS, Redshift (or Azure equivalents)\r\nData streaming systems: Storm, Spark-Streaming, etc.\r\nSearch tools: Solr, Lucene, Elasticsearch\r\nObject-oriented/object function scripting languages: Python, Java, C++, Scala, etc.\r\nAdvanced working SQL knowledge and experience working with relational databases, query authoring and optimization (SQL) as well as working familiarity with a variety of databases.\r\nExperience with message queuing, stream processing, and highly scalable 'big data' data stores.\r\nExperience manipulating, processing, and extracting value from large, disconnected datasets.\r\nEperience manipulating structured and unstructured data for analysis\r\nExperience constructing complex queries to analyze results using databases or in a data processing development environment\r\nExperience with data modeling tools and process\r\nExperience architecting data systems (transactional and warehouses)\r\nExperience aggregating results and/or compiling information for reporting from multiple datasets\r\nExperience working in an Agile environment\r\nExperience supporting project teams of developers and data scientists who build web-based interfaces, dashboards, reports, and analytics/machine learning models\r\nJ-18808-Ljbffr","company":"Steampunkcom","rawCompany":"steampunkcom","city":"McLean","state":"VA","isRemote":false,"isActive":false,"createdAt":"2026-06-25T00:53:36.452Z","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":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Data Engineer - AWS, ETL & Data Platforms","description":"Overview\r\nIn today's rapidly evolving technology landscape, an organization's data has never been a more important aspect in achieving mission and business goals. Our data exploitation experts work with our clients to support their mission and business goals by creating and executing a comprehensive data strategy using the best technology and techniques, given the challenge.\r\nAt Steampunk, our goal is to build and execute a data strategy for our clients to coordinate data collection and generation, to align the organization and its data assets in support of the mission, and ultimately to realize mission goals with the strongest effectiveness possible.\r\nFor our clients, data is a strategic asset. They are looking to become a facts-based, data-driven, customer-focused organization. To help realize this goal, they are leveraging visual analytics platforms to analyze, visualize, and share information. At Steampunk you will design and develop solutions to high-impact, complex data problems, working with the best and data practitioners around. Our data exploitation approach is tightly integrated with Human-Centered Design and DevSecOps.\r\nContributions\r\nWe are looking for seasoned Data Engineer to work with our team and our clients to develop enterprise grade data platforms, services, and pipelines. We are looking for a more than just a Data Engineer, but a technologist with excellent communication and customer service skills and a passion for data and problem solving.\r\nLead and architect migration of data environments with performance and reliability.\r\nAssess and understand the ETL jobs, workflows, BI tools, and reports\r\nAddress technical inquiries concerning customization, integration, enterprise architecture and general feature / functionality of data products\r\nExperience in crafting database / data warehouse solutions in cloud (Preferably AWS. Alternatively Azure, GCP).\r\nKey must have skill sets – Python, AWS\r\nSupport an Agile software development lifecycle\r\nYou will contribute to the growth of our Data Exploitation Practice!\r\nQualifications\r\nUS Citizen Only\r\nAbility to hold a position of public trust with the US government.\r\n5+ years industry experience coding commercial software and a passion for solving complex problems.\r\n5+ years direct experience in Data Engineering with experience in tools such as: Big data tools: Hadoop, Spark, Kafka, etc.\r\nRelational SQL and NoSQL databases, including Postgres and Cassandra.\r\nData pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.\r\nAWS cloud services: EC2, EMR, RDS, Redshift (or Azure equivalents)\r\nData streaming systems: Storm, Spark-Streaming, etc.\r\nSearch tools: Solr, Lucene, Elasticsearch\r\nObject-oriented/object function scripting languages: Python, Java, C++, Scala, etc.\r\nAdvanced working SQL knowledge and experience working with relational databases, query authoring and optimization (SQL) as well as working familiarity with a variety of databases.\r\nExperience with message queuing, stream processing, and highly scalable 'big data' data stores.\r\nExperience manipulating, processing, and extracting value from large, disconnected datasets.\r\nEperience manipulating structured and unstructured data for analysis\r\nExperience constructing complex queries to analyze results using databases or in a data processing development environment\r\nExperience with data modeling tools and process\r\nExperience architecting data systems (transactional and warehouses)\r\nExperience aggregating results and/or compiling information for reporting from multiple datasets\r\nExperience working in an Agile environment\r\nExperience supporting project teams of developers and data scientists who build web-based interfaces, dashboards, reports, and analytics/machine learning models\r\nJ-18808-Ljbffr","datePosted":"2026-06-25T00:53:36.452Z","dateModified":"2026-06-25T00:53:36.452Z","hiringOrganization":{"@type":"Organization","name":"Steampunkcom","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"McLean","addressRegion":"VA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"cf3bd7689000a29cb0f997f0"},"url":"https://jobsearcher.com/jobs/cf3bd7689000a29cb0f997f0"}}