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Job Details

Data Integration Engineer


Applications Engineer


Bethesda, Maryland, United States


Are you ready to join Leidos all-star team? Through training, teamwork, and exposure to challenging technical work, let Leidos show how to accelerate your career path.

Leidos has an exciting opening for you as our next TS/SCI cleared Data Integration Engineer supporting the National Media Exploitation Center (NMEC) under our 10-year DOMEX Technology Platform (DTP) contract. Have impact as part of a mission focused, solutions oriented, and adaptive team that values innovation, collaboration, and professional development. Your job will be to design, implement, maintain, and monitor data pipelines, both in support of R&D prototypes and production pipelines. You succeed through effective cross functional collaboration in areas such as, but not limited to, development, product, and QA in a dynamic and fast paced environment. While most work is conducted on-site at our client location in Bethesda, MD, we offer a flexible schedule and, some unclassified development tasks may be performed remotely. Percentage of remote work will vary based on client requirements/deliverables.

As a senior member of the team, you bring deep expertise in data engineering and will work closely with other infrastructure and network engineers, data scientists, and system engineers on the following key tasks:

  • Perform Database builds, installs, configuration, administration, and troubleshooting of database systems (e.g., MariaDB/MySQL, Postgres, Elasticsearch, Qdrant, Milvus, etc.)

  • Ensure data integrity by performing employing data engineering best practices

  • Maintain database and data pipeline documentation, data dictionaries, and system diagrams

You demonstrate clear devotion to the data engineering best practices and meet the following qualifications (required):

  • Bachelor’s Degree and 12+ years of prior relevant experience or Masters with 10+ years of prior relevant experience

  • Experience with SQL, NoSQL, and vector databases such as MSSQL, MySQL, PostgreSQL, Redis, FAISS, Milvus, Qdrant, etc.

  • Experience designing and maintaining ETL and ELT pipelines with technologies such as Spark, Airflow, Dagster, Prefect, Argocd, Metaflow, Kubeflow, etc.

  • Experience with DevOps / MLOps, using CI/CD methodology with data pipelines, and cloud-native deployment paradigms

  • Must possess an active TS/SCI clearance and the ability to obtain and maintain a TS/SCI with Polygraph

  • Experience with database design, implementation, maintenance, monitoring, performance tuning, and optimization.

  • Expertise in data profiling techniques and understanding the content from both a data quality and business perspective

  • Experience with data quality and accuracy evaluation techniques

  • Experience with Agile practices

  • Development experience with Python

  • Experience on data model development, modification and migration, and maintenance

  • Strong verbal and written communication skills

  • Enthusiastic with the ability to work well on a team and a self-starter who can work independently.

You will wow us even more if you have some of these skills:

  • An active TS/SCI clearance

  • Experience supporting data teams and data scientists

  • Experience on a production/ enterprise system

  • Experience in air-gapped environments

  • Application development and deployment in an AWS environment

  • AWS certifications


Original Posting Date:


While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:

Pay Range $122,200.00 - $220,900.00

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.