Job 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 tanaq.com. 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. This role 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 • Prolonged periods of sitting at a desk and working on a computer. May occasionally need to lift up to 25 pounds. Who We Are 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. If you are an individual with a disability and need assistance completing any part of the application process, please email accommodation@tanaq.com to request a reasonable accommodation. This email is for accommodation requests only and cannot be used to inquire about the status of applications. Notice on Candidate AI Usage Tanaq is committed to ensuring a fair and competitive interview process for all candidates based on their experience, skills and education. To ensure the integrity of the interview process, the use of artificial intelligence (AI) tools to generate or assist with responses during phone, in person and virtual interviews is not allowed. However, candidates who require a reasonable accommodation that may involve AI are required to contact us prior to their interview at accommodation@tanaq.com. To apply for this and other positions with our company, visit: recruiting.paylocity.com

Requirements

Must-haves

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.
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
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

Nice-to-haves

Previous experience supporting HUD OCIO preferred.
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.

Application prep

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Keywords to mirror

aimlmachine learningaccessibilityawsazurepythonsqlagile

Platform: paylocity
Effort: medium

Benefits

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