Data Engineer – AI & Machine Learning
Integral Federal22 days ago
Tysons, VA, USAMid Level
Base Salary
$150k - $200k/yr
Responsibilities
- Design, build, and optimize scalable data architectures for machine learning, analytics, and high-volume federal data processing.
- Develop, test, and maintain resilient ETL/ELT pipelines for structured, unstructured, multimodal, and synthetic data.
- Evaluate, fine-tune, and deploy AI models, including large language models, for secure and scalable operations.
- Interface with project personnel and federal stakeholders to gather requirements and translate mission needs into data solutions.
- Present technical concepts to non-technical leaders and lead internal capability development while supporting billable client engagements as needed.
- Ensure data pipelines and ML architectures comply with federal security, privacy, and governance standards including NIST, FISMA, and DoD Cloud Computing SRG.
Requirements
- Bachelor’s degree in Computer Science, Data Engineering, Software Engineering, or a related highly technical field.
- At least 3 years of progressive data engineering experience, including at least 2 years supporting AI and machine learning operations.
- Strong experience deploying in cloud environments, particularly AWS GovCloud or Azure Government.
- Expert proficiency in Python, SQL, and data manipulation libraries such as Pandas and PySpark.
- Experience building complex ETL/ELT pipelines for unstructured and multimodal data.
- Hands-on experience evaluating, fine-tuning, and deploying AI models using tools such as HuggingFace, PyTorch, or TensorFlow.
- Experience with modern data warehousing and data lake architectures such as Databricks, Snowflake, or Redshift.
- Eligibility to obtain and maintain at least a DoD Secret Clearance; an active Secret, Top Secret, or TS/SCI clearance is preferred.
- A master’s degree in Data Science, AI, or a related field is preferred.
- Federal experience with the Department of War, Intelligence Community, or DHS is preferred.
- Deep knowledge of MLOps frameworks, Docker, Kubernetes, and machine-learning CI/CD pipelines is preferred.
Benefits
- Hybrid schedule with 3 days per week in the McLean, Virginia office; full-time role primarily supporting the internal core team with occasional billable client support.
- Medical, dental, and vision insurance.
- Flexible spending accounts.
- Short-term and long-term disability insurance.
- Life insurance.
- Paid time off and holidays.
- Paid parental leave.
- 401(k) with immediate vesting.
- Earned bonuses and awards.
- Professional training reimbursement.
- Employee Assistance Program.
Tech Stack
Categories
Data EngineeringML Engineering
About Integral Federal
Integral Federal provides IT and mission support services to U.S. defense, intelligence, and civilian agencies, with offerings in cybersecurity, identity intelligence/biometrics, cloud, and systems engineering. Headquartered in McLean, Virginia and privately held, it operates on government contracts and task orders, including work supporting U.S. Army biometric systems and fielding activities.