Senior Data Engineer

We are seeking a Senior Data Engineer to design, optimize, and maintain data pipelines and systems that support HUD AI/ML proofs of concept and pilots. The Data Engineer will ensure efficient, scalable, and secure data workflows for machine learning, advanced analytics, and AI integration.

This is a fully remote position supporting a federal government contract that requires a federal background check and NACI clearance. Candidates must reside in the United States.

Responsibilities

• Design and optimize data pipelines and architectures for AI/ML workflows on cloud platforms.
• Develop ETL/ELT processes, ensuring data quality, consistency, and accessibility.
• Configure and manage AI/ML-ready cloud infrastructure (AWS Bedrock, Azure OpenAI).
• Collaborate with Data Scientists to operationalize models and enable scalable AI solutions.
• Implement data governance, versioning, and lineage tracking for compliance.
• Monitor and maintain high-performance data systems and optimize for throughput.

Required Experience and Skills

• 5+ years of experience in data engineering for AI/ML workflows
• Expertise in cloud-native data systems and large-scale data processing
• Familiarity with AI/ML pipelines, reproducible workflows, and federal compliance
• Previous experience supporting HUD OCIO preferred.
• Ability to pass required Federal background screening and obtain and maintain both government clearance and customer approval.
• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Technical Skills

• Cloud platforms: AWS Bedrock, Azure OpenAI, S3, Redshift, Data Factory
• ETL/ELT frameworks: Airflow, Spark, Databricks
• Data modeling, schema design, and optimization for AI workloads
• Programming: Python, SQL
• Version control: Git/GitHub/GitLab
• Data governance, metadata management, and logging

Core Competencies

• Collaboration with Data Scientists, DevOps, and UX teams
• Problem-solving for scalable AI/ML pipelines
• Documentation and reproducible workflows
• Agile development mindset and iterative improvement
• Security, privacy, and compliance awareness

Education and Training

• Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field. Master's degree in related field, preferred.
• Certifications in cloud data platforms (AWS, Azure), preferred.

Physical Requirements

• Candidates must reside in or within daily commuting distance of Washington, D.C.
• Must be willing and able to travel an estimated 25% of the time within the U.S.
• Prolonged periods of sitting at a desk and working on a computer. May occasionally need to lift up to 25 pounds.

Benefits offered may vary depending on the nature of your employment with Tanaq. Full-time US-based employees gain access to healthcare benefits (Medical, Dental, Vision), Basic Life Insurance, Short-Term Disability, Long-Term Disability, 401(k), Flexible Spending Account, EAP, Education Reimbursement, Paid Time Off and Holidays.

Tanaq Technical Services (TTS) strives to deeply understand and analyze our clients' vision, needs, and requirements so we may provide alternative solutions, empowering them to choose the best resolution. We aim to achieve excellence by delivering on our commitments to our clients, employees, and partners. Our Commitment to Non-Discrimination Tanaq Technical Services is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, or local law. Tanaq complies with the Drug-free Workplace Act of 1988 and E-Verify.