Remote Senior Data Engineer: Lakehouse & Automation

Leidos; Washington (District of Columbia); Remote; USD 108,000 - 195,000; Full time

Job summary

Leidos is seeking a Senior Data Engineer to support the VA ATLAS program, focusing on reusable data ingestion, transformation, and quality frameworks. The role emphasizes scalable, reliable data platforms with cloud-based processing and secure access controls.

Collaboration across teams and adherence to enterprise architecture are essential. Remote work within CONUS is allowed, with Eastern Time alignment and potential after-hours support for outages.

Qualifications

• Bachelor's degree in Computer Science, IT, Engineering, or related field with 10+ years in data engineering.
• Hands-on experience building production data ingestion, ETL/ELT, transformation, and validation pipelines using SQL and Python.
• Cloud-based data platforms and services in 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/troubleshooting.
• Ability to document technical designs, data flows, dependencies, and operational procedures; collaborate with engineers, analysts, and data owners.
• Demonstrated experience designing reusable production data engineering frameworks or shared services and resolving complex integration/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).

Responsibilities

• Design and implement reusable data ingestion, transformation, orchestration, and validation frameworks aligned with the Summit roadmap and enterprise architecture.
• Lead engineering of shared pipeline templates, data-quality gates, lineage instrumentation, and automated deployment/recovery patterns.
• Optimize cloud data processing for performance, reliability, and cost; establish metrics and tuning recommendations.
• Provide guidance on complex data integration, semantic modeling, and federated queries; collaborate with architects/governance leads.
• Incorporate automated testing, observability, CI/CD, and infrastructure-as-code where appropriate into production workflows.
• Troubleshoot cross-platform data-quality issues; drive root-cause analysis, remediation, and operational readiness.
• Maintain design docs, standards, runbooks, and technical decision records.
• Mentor engineers and coordinate with customer teams to promote adoption of reusable capabilities.

Skills

SQL

Python

ETL/ELT

Data Modeling

CI/CD

Cloud Data Platforms

Data Quality

Observability

Mentoring

Automation

Education

Bachelor's degree in Computer Science, IT, or Engineering

Tools

Azure Data Factory

Azure Data Lake Storage

Azure Databricks

Spark

Delta Lake

Job description

Leidos is seeking a Senior Data Engineer to support the VA ATLAS program, focusing on reusable data ingestion, transformation, and quality frameworks. The role emphasizes scalable, reliable data platforms with cloud-based processing and secure access controls.

Collaboration across teams and adherence to enterprise architecture are essential. Remote work within CONUS is allowed, with Eastern Time alignment and potential after-hours support for outages.