cBEYONData + SMX
SeniorDataEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Data Engineer at cBEYONData + SMX. Skills: Data Engineering, Data Pipelines, Data Models, Palantir Foundry. Lead junior developers. Mentor junior developers”
Industry & Context.
Problem-solving; Analytical; Decision-making
Onsite 2 days per week, U. S. citizenship, active DoD Secret security clearance
What They're Looking For.
Must Have
U. S. citizenship, active DoD Secret security clearance, Bachelor's degree in Computer Science, 10 years of related work experience, 5 years hands-on development, Python proficiency, PySpark proficiency, Palantir Foundry or Databricks experience, Experience leading junior developers, DevOps and CI/CD experience, GitLab experience, Army functional knowledge, Requirements elicitation experience, Database design knowledge, Relational database knowledge, Non-relational database knowledge, Commercial cloud architecture knowledge, Software engineering tools competence, Software engineering processes competence, Estimation skills, Issue tracking skills, Version control skills, Debugging skills, Analytical skills, Problem-solving skills, Decision-making skills, Cross-functional work ability, Independent work ability, Knowledge sharing experience, Code review experience, Clear documentation experience
Nice to Have
RESTful APIs implementation experience, DoD experience, GFEBS experience, SAP ERP system experience
What You'll Do.
Lead junior developers
Mentor junior developers
Design data solutions
Develop data pipelines
Maintain data pipelines
Optimize data pipelines
Develop analytics solutions
Maintain analytics solutions
Optimize analytics solutions
Analyze business requirements
Translate requirements to solutions
Assess data model modifications
Design data model modifications
Assess platform solution modifications
Design platform solution modifications
Build reporting solutions
Promote code to production
Follow DevOps processes
Follow CI/CD processes
Follow release management processes
Validate test results
Participate in requirements elicitation
Participate in requirements analysis
Participate in requirements documentation
Participate in business process improvement
Work cross-functionally
Support knowledge sharing
Provide documentation
How You'll Work.
Team & Collaboration
Technical teams; Business stakeholders; Federal customer representatives; Cross-functional teams
Communication Scope
Technical discussions; Business discussions
Process & Methodology
DevOps, CI/CD, Release management, Estimation, Issue tracking, Version control
Full Job Description
cBEYONData + SMX is seeking a Senior Data Engineer to join our team in support of a Modernized Data Science Platform for a Federal customer. This role will support IT transformation and modernization efforts by designing, building, and delivering data-driven solutions that connect business 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. This role requires a blend of technical leadership, data engineering expertise, requirements 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! Essential Duties & 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. Analyze business requirements 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. Participate in requirements 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 mento
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