Senior Data Engineer

Job Listing ID:

4443715

Job Title:

Senior Data Engineer Application Deadline:

Open Until Filled

Job Location:

Salem

Date Posted:

02/27/2026

Hours Worked Per Week:

Not Provided Shift:

Not Provided Duration of Job:

Either Full or Part Time, more than 6 months You may contact this employer directly. (Obtain the contact information to print or add to your jobs.)

Job Summary:

Senior Data Engineer Fully Remote-United States Job Type Full-time Description Overview Tanaq Technical Services (TTS), a division of St. George Tanaq (SGT) Corporation, is an 8(a) Alaskan Native Small Business that specializes in delivering Enterprise Integrated Technology Solutions and Support Services to the Federal Government. TTS's innovative approach combines proactive strategies, efficient processes and emerging technologies to deliver seamless, integrated services for our clients. TTS prides itself in being Mission Driven, People Focused. To learn more about us, visit https://tanaq.com/tanaq-technical-services. About the Role 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. Requirements 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 a...

Job Classification:

Computer Occupations, All Other Access our statewide or regional occupation report for more information about wages, employment outlooks, skills, training programs, related occupations, and more. Compensation

Salary:

Not Provided Job Requirements

Experience Required:

 See Job Summary

Education Required:

None

Minimum Age:

N/A Gender:

N/A