Momentum Engineering, Inc. fosters an employee-centric culture. Our strength lies in our people. With a high percentage of employees holding advanced degrees in engineering, computer science, and related disciplines, we bring deep technical expertise to every mission. Our team includes professionals with security clearances and full-scope polygraphs, ensuring trusted, secure support for the most sensitive national security initiatives. Additionally, our workforce is equipped with industry-leading certifications, demonstrating a commitment to continuous learning and excellence. Most importantly, our exceptional employee retention rate reflects a culture of professional growth, mission focus, and dedication-ensuring long-term stability and expertise for our customers' critical needs.
Job Summary- Seeking a Data Scientist to design scalable data pipelines, automate reporting processes, and develop reusable Python-based data solutions
- The successful candidate will support incremental and batch data ingestion, data transformation, validation, modeling, and dashboard automation
Primary Responsibilities- Design and implement scalable Extract, Transform, Load (ETL) workflows
- Develop incremental and batch data-ingestion processes
- Implement robust data validation and quality-control procedures
- Perform data transformation and modeling using SQL and Python
- Preprocess, minimize, filter, normalize, aggregate, and reshape datasets for reporting
- Develop automated reporting workflows and dashboards
- Build and maintain reusable Python automation packages for agency personnel
- Document data pipelines, automation processes, and technical procedures
Required Qualifications- Must have active Top Secret/SCI clearance with NSA Full Scope Polygraph
- Master's degree with 6 years of relevant experience, Bachelor's degree with 8 years of relevant experience, Associate's degree with 10 years of in-depth relevant experience that is clearly related to the position
- Strong Python experience
- Strong SQL skills
- Experience designing and implementing ETL workflows
- Experience with data transformation, validation, and modeling
- Experience preprocessing and preparing datasets for reporting
- Experience developing reusable automation solutions
Desired Qualifications- Experience with Pandas, PySpark, or Polars
- Experience with Power BI, Tableau, or similar dashboard platforms
- Experience supporting large-scale data environments
Exempt hourly position. 11 paid holidays, minimum of 3 weeks PTO, company sponsored group medical plan, company paid dental, vision, life insurance, and STD/LTD plans. Salary is dependent upon the candidate's experience and qualifications.
The pay range for this role is:
135,000 - 180,000 USD per year (Ft. Meade MD)
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