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# nSenior Data Engineer

- **Company:** Nabout Leidos
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $107,900 - $195,050
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Microsoft Azure, Continuous Integration, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Security, Python (Programming Language), Metadata Repositories, Operational Databases, Azure Data Lake, SQL Databases, Data Streaming, Systems Integration, Google Cloud, Cloud Platform System, Azure Data Factory, Apache Spark, Data Lakes, Information Technology, Collibra, Data Pipelines, Databricks
- **Published:** November 7, 2026
- **Apply:** https://jobs.military.com/career/390237/senior-data-engineer-remote

## About the Role

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