Data Scientist / Data Modeler (ECL/HPCC)

Fallstechnology; McLean (VA); On-site; USD 180,000 - 220,000; Full time

Benefits offered by this job

9% retirement contribution

100% of family medical premiums paid

4 weeks PTO

Job summary

Falls Technology seeks a Data Scientist / Data Modeler (ECL/HPCC) for an onsite role in McLean, VA. You will design data models and build high-volume ECL data processing on HPCC Systems clusters, spanning large datasets and complex analytics.

The role requires active TS/SCI with Poly and 5+ years of hands-on ECL development; proficiency in Python/SQL/Java/C. Strong data modeling and performance tuning are essential.

Qualifications

• Active TS/SCI with Polygraph
• 5+ years of hands-on ECL development
• Experience with HPCC Systems and clustered/parallel computing
• Data modeling and large-scale data analysis
• Proficiency in Python, SQL, Java, C, or Pig

Responsibilities

• Build and optimize large-scale ECL data processing on HPCC Systems deployed as clustered environments
• Design, evolve, and support data models for complex analytic needs
• Analyze large structured and unstructured datasets to identify patterns and relationships
• Develop data cleansing, integration, and transformation pipelines
• Create supporting tools using Python, SQL, Java, or C

Skills

ECL development

HPCC Systems

Data modeling

Large-scale data analysis

Python

SQL

Java

C

Pig

Security clearance TS/SCI with Poly

Education

STEM degree

Tools

ECL

HPCC Systems

Job description

Falls Technology is seeking a Data Scientist / Data Modeler (ECL/HPCC) to support a federal national-security mission. This is an onsite role in McLean, VA, focused on designing data models and building high-volume ECL data processing on HPCC Systems clusters, with work that spans large structured and unstructured datasets.

Beyond mission‑critical engineering, the role comes with strong benefits, including a 9% retirement contribution, 100% of family medical premiums paid, and 4 weeks of PTO.

What you’ll do

• Build and optimize large-scale ECL data processing on HPCC Systems deployed as clustered environments
• Design, evolve, and support data models for complex analytic needs
• Analyze large structured and unstructured datasets to identify patterns and relationships
• Develop data cleansing, integration, and transformation pipelines
• Create supporting tools using Python, SQL, Java, or C

Core requirements

• Active TS/SCI with Polygraph
• 5+ years of hands‑on ECL development
• Experience with HPCC Systems and clustered/parallel computing
• Data modeling and large-scale data analysis
• Proficiency in one or more: Python, R, SQL, Java, C, or Pig

Additional skills that help

• ECL / HPCC performance tuning
• Entity resolution and relationship analysis
• Cloud data processing
• STEM degree

Location: On-site in McLean, VA (Full-Time)

Compensation: USD 200,000 per yearly

Minimum experience: 5+ years