Senior Data Engineer (5307)

cBEYONData + SMX is seeking a Senior Data Engineer to join our team in support of a Modernized Data Science Platform for a Federal customer.

Requirements

with scalable technical capabilities. The ideal candidate will bring strong hands-on experience developing production data pipelines, data models, and analytics solutions using Palantir Foundry, Databricks, or similar modern data platforms.

analysis, and the ability to work closely with business and technical stakeholders in a Federal/DoD environment. If you are interested in joining a high-performing team with advancement opportunities, then look no further!

and translate them into scalable technical solutions. Assess and design modifications to existing data models and platform solutions as needed. Build data models and reporting solutions using datasets from ERPs, legacy systems, and other enterprise data sources.

Promote code into production while following established DevOps, CI/CD, and release management processes. Define test cases and validate test results to ensure solutions function as designed.

elicitation, analysis, documentation, and business process improvement activities. Work cross-functionally with technical teams, business stakeholders, and Federal customer representatives. Support knowledge sharing through code reviews, documentation, and mentoring.

S. citizenship and an active DoD Secret security clearance are required. Ability to work onsite 2 days per week at the Taylor Building in Crystal City.

Education: Bachelor’s degree in Computer Science or a related field. Experience: 10 years of related work experience. Minimum of 5 years of hands-on development experience with proficiency in Python and PySpark.

Hands-on experience building production data pipelines, data models, and analytics solutions in Palantir Foundry or Databricks. Prior experience leading junior developers to deliver software or data capabilities on 2 or more projects. Experience with DevOps and CI/CD pipelines using GitLab.

elicitation, analysis, and documentation. Familiarity with database design and architecture, including relational and non-relational databases. Knowledge of commercial cloud architecture, including AWS and/or Azure.

Competence with software engineering tools and processes, including estimation, issue tracking, version control, and debugging. Strong analytical, problem-solving, and decision-making skills. Ability to work cross-functionally and participate in technical and business discussions.

Proven ability to work independently on assigned tasks with minimal supervision. Proven experience with knowledge sharing, including code reviews and clear documentation. Driven, self-directed personality with a strong sense of mission and commitment to making a difference.

Desired Skills/Experience Experience implementing RESTful APIs. Exceptional communication skills and the ability to foster positive outcomes across diverse people, teams, and priorities. Experience working with the DoD.

Experience working with GFEBS or another SAP ERP system.

Responsibilities

Lead and mentor a team of junior developers in the development and delivery of client-required capabilities. Design and build new data solutions using Palantir Foundry, Databricks, or comparable enterprise data platforms. Develop, maintain, and optimize production data pipelines, data models, reports, and analytics solutions.