{"schemaVersion":"jobsearcher.job.v1","id":"0dc474f70f7fd2d8eccf35bc","url":"https://jobsearcher.com/jobs/0dc474f70f7fd2d8eccf35bc","canonicalUrl":"https://jobsearcher.com/jobs/0dc474f70f7fd2d8eccf35bc","title":"Senior ITP Data Engineer","description":"ob Title: ITP_ Data Engineer\r\nLocation: Springfield, Virginia\r\nClient: Leidos\r\nEmployment Type: Full-Time\r\nRate: $150K-$180K per annum or Year\r\nClearance Required: Current TS/SCI and Must be a US Citizen. Ability to obtain DHS EOD SCI.\r\nPosition Overview\r\nWe are seeking a skilled ITP_Data Engineer to design, build, and maintain robust data pipelines that enable scalable, secure, and intelligent data processing across cloud environments. The ideal candidate will have hands-on experience in data acquisition from diverse sources, deep familiarity with modern data storage paradigms, and a passion for building pipelines that support advanced analytics and AI/ML use cases.\r\nKey Responsibilities\r\nData Ingestion & Acquisition: Collect and integrate data from a wide variety of structured and unstructured sources including APIs, RDBMS, file systems, third-party services, and real-time streams.\r\nPipeline Development: Design and implement scalable ETL/ELT pipelines to clean, enrich, normalize, and semantically align data (ontology-driven transformations).\r\nCloud Deployment: Build and deploy data pipelines and associated infrastructure on AWS or Azure, using managed services like Lambda, Glue, Step Functions, Azure Data Factory, etc.\r\nDatabase Architecture: Understand and optimize for different storage engines—relational (PostgreSQL, MySQL), columnar (Redshift, BigQuery), indexing engines (ElasticSearch), key-value stores (DynamoDB, Redis), Object stores (S3 or similar) and caching layers.\r\nStreaming Data Processing: Work with Apache Kafka (or similar platforms) to handle high-volume, low-latency data streams.\r\nWorkflow Orchestration: Utilize Apache Airflow (or equivalent) to schedule and monitor complex data workflows.\r\nAI/ML Integration: Collaborate with data scientists to integrate LLMs and ML models into pipelines for inference, tagging, enrichment, or intelligent routing of data.\r\nRequired Qualifications\r\nBachelor's or master's degree in computer science, Engineering, or related field.\r\n10+ years of experience in data engineering or software development roles.\r\nStrong proficiency in Python, including experience with libraries like pandas, PySpark, FastAPI, or similar.\r\nSolid experience with cloud services (AWS or Azure) and Cloud native data engineering tools.\r\nProven experience in building and maintaining data pipelines using Kafka, Airflow, and other open-source frameworks.\r\nStrong grasp of database internals and trade-offs between different storage technologies.\r\nFamiliarity with data governance, lineage, and metadata management concepts.\r\nExperience or strong interest in integrating LLMs and AI/ML models into production-grade data systems.\r\nPreferred Qualifications\r\nKnowledge of data cataloging tools and semantic layer design.\r\nExperience with containerization (Docker) and orchestration (Kubernetes).\r\nFamiliarity with MLOps tools or platforms (e.g., SageMaker, MLflow).\r\nPrior experience working in regulated or secure environment\r\nPay: $150,000.00 - $180,000.00 per year\r\nBenefits\r\n401(k)\r\n401(k) matching\r\nDental insurance\r\nHealth insurance\r\nHealth savings account\r\nLife insurance\r\nPaid time off\r\nVision insurance\r\nWork Location: In person\r\nJ-18808-Ljbffr","company":"Socket","rawCompany":"socket","city":"Springfield","state":"VA","isRemote":false,"isActive":false,"createdAt":"2026-08-08T01:59:21.966Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-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 ITP Data Engineer","description":"ob Title: ITP_ Data Engineer\r\nLocation: Springfield, Virginia\r\nClient: Leidos\r\nEmployment Type: Full-Time\r\nRate: $150K-$180K per annum or Year\r\nClearance Required: Current TS/SCI and Must be a US Citizen. Ability to obtain DHS EOD SCI.\r\nPosition Overview\r\nWe are seeking a skilled ITP_Data Engineer to design, build, and maintain robust data pipelines that enable scalable, secure, and intelligent data processing across cloud environments. The ideal candidate will have hands-on experience in data acquisition from diverse sources, deep familiarity with modern data storage paradigms, and a passion for building pipelines that support advanced analytics and AI/ML use cases.\r\nKey Responsibilities\r\nData Ingestion & Acquisition: Collect and integrate data from a wide variety of structured and unstructured sources including APIs, RDBMS, file systems, third-party services, and real-time streams.\r\nPipeline Development: Design and implement scalable ETL/ELT pipelines to clean, enrich, normalize, and semantically align data (ontology-driven transformations).\r\nCloud Deployment: Build and deploy data pipelines and associated infrastructure on AWS or Azure, using managed services like Lambda, Glue, Step Functions, Azure Data Factory, etc.\r\nDatabase Architecture: Understand and optimize for different storage engines—relational (PostgreSQL, MySQL), columnar (Redshift, BigQuery), indexing engines (ElasticSearch), key-value stores (DynamoDB, Redis), Object stores (S3 or similar) and caching layers.\r\nStreaming Data Processing: Work with Apache Kafka (or similar platforms) to handle high-volume, low-latency data streams.\r\nWorkflow Orchestration: Utilize Apache Airflow (or equivalent) to schedule and monitor complex data workflows.\r\nAI/ML Integration: Collaborate with data scientists to integrate LLMs and ML models into pipelines for inference, tagging, enrichment, or intelligent routing of data.\r\nRequired Qualifications\r\nBachelor's or master's degree in computer science, Engineering, or related field.\r\n10+ years of experience in data engineering or software development roles.\r\nStrong proficiency in Python, including experience with libraries like pandas, PySpark, FastAPI, or similar.\r\nSolid experience with cloud services (AWS or Azure) and Cloud native data engineering tools.\r\nProven experience in building and maintaining data pipelines using Kafka, Airflow, and other open-source frameworks.\r\nStrong grasp of database internals and trade-offs between different storage technologies.\r\nFamiliarity with data governance, lineage, and metadata management concepts.\r\nExperience or strong interest in integrating LLMs and AI/ML models into production-grade data systems.\r\nPreferred Qualifications\r\nKnowledge of data cataloging tools and semantic layer design.\r\nExperience with containerization (Docker) and orchestration (Kubernetes).\r\nFamiliarity with MLOps tools or platforms (e.g., SageMaker, MLflow).\r\nPrior experience working in regulated or secure environment\r\nPay: $150,000.00 - $180,000.00 per year\r\nBenefits\r\n401(k)\r\n401(k) matching\r\nDental insurance\r\nHealth insurance\r\nHealth savings account\r\nLife insurance\r\nPaid time off\r\nVision insurance\r\nWork Location: In person\r\nJ-18808-Ljbffr","datePosted":"2026-08-08T01:59:21.966Z","dateModified":"2026-08-08T01:59:21.966Z","hiringOrganization":{"@type":"Organization","name":"Socket","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Springfield","addressRegion":"VA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"0dc474f70f7fd2d8eccf35bc"},"url":"https://jobsearcher.com/jobs/0dc474f70f7fd2d8eccf35bc"}}