Data Scientist – ETL & Automation (TS/SCI Clearance)

Momentum Engineering, Inc.; Fort Meade (MD); On-site; USD 140,000 - 185,000; Full time

Benefits offered by this job

11 paid holidays

3 weeks PTO

Company sponsored group medical plan

Company paid dental

Company paid vision

Company paid life insurance

STD/LTD plans

Job summary

Momentum Engineering, Inc. is seeking a Data Scientist to design scalable data workflows, automate reporting, and develop reliable data transformation and ingestion solutions.

The role focuses on improving operational efficiency through repeatable automation, robust data validation, and modern analytics capabilities. You will design and automate reporting and data-processing workflows, develop scalable ETL processes, perform data transformation and cleansing, and build reusable Python automation

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, or Associate's degree with 10 years in-depth relevant experience.
• Experience developing ETL or ELT workflows.
• Experience data preprocessing, validation, filtering, normalization, aggregation, and transformation.

Responsibilities

• Design and automate reporting and data-processing workflows.
• Develop scalable ETL processes supporting incremental and batch data ingestion.
• Perform data transformation, cleansing, validation, aggregation, and reshaping.
• Develop reusable Python automation packages and scripts.
• Build and maintain SQL-based data-processing workflows.
• Support dashboard automation and reporting capabilities.
• Develop processes that improve data quality and reliability.
• Document data flows, automation processes, and procedures.

Skills

ETL workflows

Data preprocessing

Python automation

Education

Master’s degree in related field

Bachelor’s degree in related field

Tools

Pandas

PySpark

Polars

Power BI

Tableau

Job description

Momentum Engineering, Inc. is seeking a Data Scientist to design scalable data workflows, automate reporting, and develop reliable data transformation and ingestion solutions.

The role focuses on improving operational efficiency through repeatable automation, robust data validation, and modern analytics capabilities. You will design and automate reporting and data-processing workflows, develop scalable ETL processes, perform data transformation and cleansing, and build reusable Python automation