Senior Data Engineer

🔥 29 minutes ago

🏛️ District of Columbia, Washington – Remote

🏛️ District of Columbia – Remote ☕ Washington – Remote

💵 $107.9k - $195.1k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Leidos

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1969

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

Leidos is a leading systems integrator in science, technology, and engineering, providing solutions that transform and enable the missions of its customers. The company operates across various markets, including aviation, defense, energy, government, healthcare, intelligence, science, and space. Leidos is involved in AI, digital modernization, cyber operations, and integrated and mission software systems. With a commitment to diversity, equity, inclusion, and sustainability, Leidos also engages in charitable efforts and community enrichment programs. Additionally, it contributes to developing solutions for counter-unmanned aerial systems and electric vehicle infrastructure for military applications.

📋 Description

• Design and implement reusable data ingestion, transformation, orchestration, and validation frameworks aligned with the Summit product roadmap and approved enterprise architecture • Lead engineering of shared pipeline templates, data-quality gates, lineage instrumentation, and automated deployment or recovery patterns • Optimize cloud data processing, partitioning, performance, reliability, and cost; establish technical measures and tuning recommendations • Provide technical guidance on complex data integration, source parity, semantic modeling, and federated query capabilities • Collaborate with architecture and governance leads • Integrate automated testing, observability, CI/CD, infrastructure-as-code, and secure access controls into production data engineering workflows • Troubleshoot complex cross-platform failures and data-quality issues • Coordinate root-cause analysis, remediation, rollback, and operational readiness • Maintain reusable design documentation, standards implementation guidance, runbooks, and technical decision records • Mentor engineers and coordinate with customer-requested engineering teams to promote adoption and reuse of common capabilities • Support Eastern Time collaboration and applicable production coverage • Provide occasional after-hours or weekend support for critical outages or planned maintenance

🎯 Requirements

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical discipline and 10+ years of relevant experience • Demonstrated expertise designing and implementing complex data engineering solutions • Hands-on experience developing and troubleshooting production data ingestion, ETL/ELT, transformation, and validation pipelines using SQL and Python • Experience with cloud-based data platforms and services in Microsoft Azure, AWS, or Google Cloud • Understanding of storage, orchestration, and secure data access • Experience with data modeling, source-to-target reconciliation, data quality testing, and pipeline monitoring or incident troubleshooting • Ability to document technical designs, data flows, dependencies, and operational procedures • Ability to collaborate with engineers, analysts, and data owners • Demonstrated experience designing reusable production data engineering frameworks or shared services • Ability to independently resolve complex integration and performance issues • Experience improving data engineering delivery through automation, testing, CI/CD, or standardized deployment patterns • Ability to obtain and maintain the required VA Public Trust suitability determination (Tier 2/Moderate Risk) • Preferred: Direct, hands-on experience supporting the VA Summit Data Platform • Experience with production-scale Spark/Databricks or Delta Lake processing and platform-wide performance or cost optimization • Experience mentoring engineers or coordinating shared engineering capabilities across multiple delivery teams • Hands-on Microsoft Azure data engineering experience, including Azure Data Factory, Azure Data Lake Storage, Azure Databricks, Spark, or comparable services • Familiarity with Delta Lake/lakehouse architectures, data catalogs and lineage, and governance tools such as Collibra, Immuta, or Starburst • Experience supporting federal IT systems and complying with security, privacy, and data-access requirements • Experience with Agile delivery and relevant cloud/data engineering certifications

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