Data Scientist / Data Modeler (ECL/HPCC) - SME | TS/SCI w/ Poly
Falls Technology Fairfax County, Virginia, United States · $200K/yr
Software Development · 11-50 employees
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About the role
Design and evolve data models while building high-volume ECL data processing pipelines on HPCC Systems clusters. Analyze large structured and unstructured datasets to identify patterns and develop supporting tools using various programming languages.
What they look for
Requirements
Requires an active TS/SCI with Polygraph and 5+ years of hands-on ECL development experience. Candidates must possess expertise in HPCC Systems, data modeling, and proficiency in at least one programming language such as Python, SQL, Java, or C.
Benefits
Full description
Active TS/SCI with Polygraph required. U.S. citizenship required.
Location: On-site in McLean, VA (Full-Time).
Turn massive, messy data into answers that matter. You'll design data models and high-volume ECL processing on HPCC Systems clusters for a federal national-security mission.
What you'll do
- Build and optimize large-scale ECL data processing on HPCC Systems
- - Design and evolve data models for complex analytic requirements
- - Analyze large structured and unstructured datasets for patterns and relationships
- - Build data cleansing, integration and transformation pipelines
- - Develop supporting tools in Python, SQL, Java or C
What you bring (required)
- Active TS/SCI with Polygraph
- - 5+ years of hands-on ECL development
- - HPCC Systems and clustered/parallel computing
- - Data modeling and large-scale data analysis
- - One or more of Python, R, SQL, Java, C or Pig
Nice to have
- ECL / HPCC performance tuning
- - Entity resolution and relationship analysis
- - Cloud data processing
- - STEM degree
Why Falls
A 9% retirement contribution, 100% of family medical premiums paid, and 4 weeks of PTO. We're a small business that's been delivering since 2019, so your work is visible and your voice counts.
Falls Technology is an Equal Opportunity Employer. All qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, disability, or protected veteran status.
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