Data Engineer

🕒 November 6

🏛️ District of Columbia – Remote

🏛️ District of Columbia – Remote

💵 $87.1k - $157.4k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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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

• Assess customer data and analytics requirements with product owners, business analysts, and data stewards; translate needs into scoped ingestion and transformation tasks • Develop, configure, test, and maintain batch or event-driven data pipelines for new and migrated data sources using approved platform patterns • Build customer-focused transformations, semantic views, and consumption-ready datasets for reporting, analytics, and data science • Perform source-to-target reconciliation, freshness checks, data quality validation, and defect remediation; document evidence for customer acceptance • Implement approved access, metadata, lineage, and security requirements in coordination with governance and security teams • Monitor pipeline health and performance, troubleshoot failed loads and data discrepancies, and support production incidents and corrective actions • Document pipeline configurations, dependencies, runbooks, and handoffs; contribute improvements to reusable templates and automation • Coordinate customer onboarding and technical handover with Summit platform and customer enablement teams • 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 8+ 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 ability to independently implement data pipelines using established design and deployment patterns • Ability to obtain and maintain the required VA Public Trust suitability determination (Tier 2/Moderate Risk) • US Citizenship or Permanent Residency is required • Preferred: Direct, hands-on experience supporting the VA Summit Data Platform • Preferred: Experience with other VA enterprise data and analytics environments • Preferred: Experience working directly with customer teams to translate data requirements into accepted, production-ready datasets • Preferred: Hands-on Microsoft Azure data engineering experience, including Azure Data Factory, Azure Data Lake Storage, Azure Databricks, Spark, or comparable services • Preferred: Familiarity with Delta Lake/lakehouse architectures, data catalogs and lineage, and governance tools such as Collibra, Immuta, or Starburst • Preferred: Experience supporting federal IT systems and complying with security, privacy, and data-access requirements • Preferred: Experience with Agile delivery and relevant cloud/data engineering certifications

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