Senior Data Engineer

Leidos is hiring a Senior Data Engineer in Gaithersburg, MD (onsite) to lead a secure, cloud-native hybrid analytical platform for large-scale operational and analytical workloads within the Maru Program.

Responsibilities

• Lead architecture and implementation of a hybrid analytical query platform for large-scale operational and analytical data
• Design and implement modern data lakehouse architectures using object storage, relational databases, and distributed analytical technologies
• Build scalable batch and streaming pipelines for ingestion, transformation, enrichment, and delivery
• Create data models, partitioning strategies, indexing approaches, catalogs, and query architectures optimized for large datasets
• Integrate PostgreSQL/Aurora transactional data with analytical and object-storage platforms
• Design and optimize distributed query execution using Trino/Presto or equivalent
• Develop cloud data solutions using Amazon S3, Apache Iceberg, Redshift, and other cloud services
• Support data governance and operational readiness, including metadata management, lineage, access controls, and security requirements
• Design and deploy containerized data services for cloud-native environments
• Provide technical leadership with architecture guidance, design reviews, and mentoring engineers implementing the data platform
• Troubleshoot complex issues across data, databases, query performance, infrastructure, and integrations

Requirements

• US citizenship required per contract
• 12+ years of relevant software, data engineering, or data architecture experience, including demonstrated progression into senior technical or architecture responsibilities
• Expert hands-on experience designing and implementing large-scale data architectures, lakehouses, or analytical data platforms
• Strong hands-on experience with SQL and Python
• Strong experience with PostgreSQL and/or Amazon Aurora PostgreSQL
• Experience with Amazon S3 and object-storage-based data architectures
• Hands-on experience with modern lakehouse technologies such as Apache Iceberg, Databricks/Delta Lake, Snowflake, Redshift, or equivalent
• Experience designing hybrid architectures across relational, columnar, object-storage, and distributed analytical systems
• Experience with distributed query engines such as Trino/Presto or equivalent
• Experience building batch and/or streaming pipelines using Apache Kafka, Spark, Flink, Airflow, Dagster, dbt, or equivalent
• Strong understanding of data modeling, partitioning, indexing, cataloging, schema evolution, and query optimization
• Experience with Docker and containerized services, plus modern cloud-native architectures
• Experience with Infrastructure as Code and Git-based CI/CD
• Strong understanding of data security, access controls, governance, and protection of sensitive data

Technologies

• SQL, Python
• PostgreSQL, Amazon Aurora PostgreSQL
• Amazon S3, Object storage, Relational databases
• Apache Iceberg, Lakehouse technologies
• Redshift, Trino/Presto
• Apache Kafka, Spark, Flink, Airflow, Dagster, dbt
• Docker, Kubernetes, ECS/Fargate, Lambda
• Infrastructure as Code, Git-based CI/CD
• Databricks/Delta Lake, Snowflake
• OpenMetadata, AWS Glue Data Catalog, AWS Glue Data Catalog

Benefits

• Competitive compensation
• Health and Wellness programs
• Income Protection
• Paid Leave
• Retirement

Security Clearance

• Active Top Secret/SCI with ability to successfully pass a Polygraph examination

Preferred Qualifications

• Experience with AWS-managed data services, particularly S3, Aurora PostgreSQL, Redshift, ECS/Fargate, Lambda, and related services
• Experience with Kubernetes and container orchestration
• Experience with data catalogs and metadata platforms such as OpenMetadata, AWS Glue Data Catalog, or equivalent
• Experience working with geospatial, telemetry, operational, or other high-volume datasets
• Experience designing platforms supporting both interactive queries and large-scale analytical workloads
• Experience supporting production data platforms in classified, DoD, Intelligence Community, or other high-security environments
• Experience providing technical direction to multidisciplinary engineering teams

Strongly Desired

• Redshift
• Kafka
• Spark
• Airflow/Dagster/dbt
• Docker
• Kubernetes
• AWS
• Infrastructure as Code
• Git-based CI/CD

Nice to Have

• OpenMetadata/Glue Data Catalog
• Flink
• Databricks/Delta Lake
• Snowflake
• Geospatial data experience

Salary range: USD 131,300 - 237,350 per year

Primary work location: Gaithersburg, MD (onsite)

Original posting date: October 1, 2026

Pay range: $131,300.00 - $237,350.00