Senior Data Engineer at Tanaq Management Services LLC

Washington, District of Columbia, United States -

Full Time

Start Date

Immediate

Expiry Date

02 Jan, 26

Salary

130000.0

Posted On

04 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, AI/ML Workflows, Cloud Platforms, ETL, ELT, Data Modeling, Python, SQL, Git, Data Governance, Metadata Management, Collaboration, Problem-Solving, Agile Development, Security Awareness, Compliance Awareness

Industry

Business Consulting and Services

Description

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 hybrid remote position based in Washington, D.C. that will require some onsite work at the customer’s locations. An estimated 25% annual travel within the U.S. will be required. 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. Pay Range The projected annual salary range for this position is $120,000 – $130,000 USD. Please note that the salary information listed is a good faith estimate for this position and a general guideline only. Multiple factors are considered in determining final pay for a position, including, but not limited to, the candidate’s relevant work experience, skills, education, certifications, and competencies that align with the specified role, geographic location, as well as business considerations and contract provisions regarding labor categories that are specific to the position. 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

Responsibilities

The Senior Data Engineer will design, optimize, and maintain data pipelines and systems that support HUD AI/ML proofs of concept and pilots. Responsibilities include developing ETL/ELT processes and collaborating with Data Scientists to operationalize models for scalable AI solutions.