Senior Data Engineer
St. George Tanaq Corporation
•
Atlanta, GA
0
0
0
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Not Applicable
Posted March 14, 2026
2 variants
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Responsibilities
Commitments
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.
Commitments
Fully Remote-United States
Full-time
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.
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.
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.
Tanaq complies with the Drug-free Workplace Act of 1988 and E-Verify.
This email is for accommodation requests only and cannot be used to inquire about the status of applications.
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.
Not Met Priorities
What still needs stronger evidence
Requirements
- 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.
- 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
- 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
- Candidates must reside in or within daily commuting distance of Washington, D.C.
Preferred Skills
- Previous experience supporting HUD OCIO preferred.
- ETL/ELT frameworks: Airflow, Spark, Databricks
- Data modeling, schema design, and optimization for AI workloads
- Programming: Python, SQL
- Version control: Git/GitHub/GitLab
- Problem-solving for scalable AI/ML pipelines
- Master's degree in related field, preferred.
- Certifications in cloud data platforms (AWS, Azure), preferred.
Education
- (Not required) – Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field.
- (Not required) – Master's degree in related field, preferred.
- (Not required) – Certifications in cloud data platforms (AWS, Azure), preferred.
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 and working on a computer. May occasionally need to lift up to 25 pounds.
Benefits Information
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.
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:
https://recruiting.paylocity.com/recruiting/jobs/All/31dd0607-5fe1-43cc-a916-35084f250a54/Tanaq-Technical-Services-LLC
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 and working on a computer. May occasionally need to lift up to 25 pounds.
Benefits Information
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.
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:
https://recruiting.paylocity.com/recruiting/jobs/All/31dd0607-5fe1-43cc-a916-35084f250a54/Tanaq-Technical-Services-LLC