Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Albuquerque, NM, USA
Actively hiring, first seen by us 1 day agoLead AI initiatives from concept to deployment as the main technical contact for DOI
Build and deploy AI/ML solutions in Python using Azure or open-source tools
Design and maintain data pipelines, ETL/ELT processes and database schemas
Write and optimize complex SQL queries, stored procedures and relational structures
Connect Azure data backends with Power Apps and Power Automate user tools
Lead AI initiatives from conception to deployment, serving as the primary technical point of contact for the DOI customer.
Build and deploy practical AI/ML solutions using Python, leveraging Azure Cognitive Services, OpenAI API, or open-source frameworks.
Design, build, and maintain robust data pipelines, ETL/ELT processes, and database schemas.
Develop and optimize complex SQL queries, stored procedures, and relational database structures.
Connect data backends seamlessly with front-end Power Apps and Power Automate workflows to deliver user-facing AI tools.
Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related field (or equivalent experience).
SQL & Database Expertise:
Hands-on experience developing within Microsoft Azure (Azure SQL, Azure Synapse, or Azure OpenAI services).
Proven experience integrating backend data structures and APIs with Microsoft Power Apps and Power Automate.
Ability to clear a federal background investigation to obtain a DOI Public Trust clearance.
Prior experience supporting the Department of the Interior (DOI) or other federal agencies as a government contractor. Relevant certifications (e.g., Azure Data Engineer Associate, Azure AI Engineer Associate). Experience implementing Generative AI, Retrieval-Augmented Generation (RAG), or LLM orchestration frameworks (LangChain, Semantic Kernel).
Education: Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related field (or equivalent experience). Python Mastery:
Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Day 1
Early. Similar jobs usually come down between day 6 and day 54.
From 10,805 similar postings that came down. Coming down is not always a hire.
15 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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Applications for this position will be accepted through 11/23/26. Koniag Professional Services, LLC, a Koniag Government Services company, is seeking a Sr. AI Technical Lead & Data Developer to support KPS and our government customer. The position remote. This position requires the candidate to be able to obtain a Public Trust. Benefits include medical, dental, and vision insurance, 401(k) retirement plan, paid time off, paid parental leave, life and disability insurance, flexible spending accounts, commuter benefits and tuition reimbursement. Koniag Professional Services, LLC, a Koniag Government Services is seeking a Senior AI Technical Lead & Data Developer to support a critical federal modernization initiative for the Department of the Interior (DOI). In this dual-focused role, you will bridge the gap between cutting-edge AI implementation and robust data engineering. We are looking for a hands-on developer rather than a theoretical architect. You will lead the technical direction of AI initiatives while actively writing Python code, optimizing SQL databases, and integrating data pipelines within a Microsoft Azure and Power Apps ecosystem. This position will be part of a team supporting a Federal client with a business and IT modernization project. Key Responsibilities: AI Leadership & Development: Lead AI initiatives from conception to deployment, serving as the primary technical point of contact for the DOI customer. Build and deploy practical AI/ML solutions using Python, leveraging Azure Cognitive Services, OpenAI API, or open-source frameworks. Translate business requirements from DOI stakeholders into scalable, technical AI data solutions.
Applications for this position will be accepted through 11/23/26. Koniag Professional Services, LLC, a Koniag Government Services company, is seeking a Sr. AI Technical Lead & Data Developer to support KPS and our government customer. The position remote. This position requires the candidate to be able to obtain a Public Trust. Benefits include medical, dental, and vision insurance, 401(k) retirement plan, paid time off, paid parental leave, life and disability insurance, flexible spending accounts, commuter benefits and tuition reimbursement. Koniag Professional Services, LLC, a Koniag Government Services is seeking a Senior AI Technical Lead & Data Developer to support a critical federal modernization initiative for the Department of the Interior (DOI). In this dual-focused role, you will bridge the gap between cutting-edge AI implementation and robust data engineering. We are looking for a hands-on developer rather than a theoretical architect. You will lead the technical direction of AI initiatives while actively writing Python code, optimizing SQL databases, and integrating data pipelines within a Microsoft Azure and Power Apps ecosystem. This position will be part of a team supporting a Federal client with a business and IT modernization project. Key Responsibilities: AI Leadership & Development: Lead AI initiatives from conception to deployment, serving as the primary technical point of contact for the DOI customer. Build and deploy practical AI/ML solutions using Python, leveraging Azure Cognitive Services, OpenAI API, or open-source frameworks. Translate business requirements from DOI stakeholders into scalable, technical AI data solutions. Data Engineering & Development:
Data Engineering & Development: Design, build, and maintain robust data pipelines, ETL/ELT processes, and database schemas. Write clean, efficient, and production-ready Python code for data manipulation, automation, and AI integration. Develop and optimize complex SQL queries, stored procedures, and relational database structures. Cloud & Low-Code Integration:
Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related field (or equivalent experience). Python Mastery: Expert-level Python programming skills focused on data manipulation (Pandas, NumPy) and AI frameworks.
Python Mastery: Expert-level Python programming skills focused on data manipulation (Pandas, NumPy) and AI frameworks. SQL & Database Expertise:
Cloud & Low-Code Integration: Architect data environments natively within the Microsoft Azure cloud platform (Azure SQL, Data Factory, Blob Storage). Connect data backends seamlessly with front-end Power Apps and Power Automate workflows to deliver user-facing AI tools. Required Qualifications: Experience:
Expert-level Python programming skills focused on data manipulation (Pandas, NumPy) and AI frameworks. SQL & Database Expertise: Strong background as a Database Engineer with advanced SQL proficiency, data modeling, and performance tuning.
SQL & Database Expertise: Strong background as a Database Engineer with advanced SQL proficiency, data modeling, and performance tuning. Azure Ecosystem:
Azure Ecosystem: Hands-on experience developing within Microsoft Azure (Azure SQL, Azure Synapse, or Azure OpenAI services). Power Platform:
Strong background as a Database Engineer with advanced SQL proficiency, data modeling, and performance tuning. Azure Ecosystem: Hands-on experience developing within Microsoft Azure (Azure SQL, Azure Synapse, or Azure OpenAI services).
Preferred Qualifications: Prior experience supporting the Department of the Interior (DOI) or other federal agencies as a government contractor. Relevant certifications (e.g., Azure Data Engineer Associate, Azure AI Engineer Associate). Experience implementing Generative AI, Retrieval-Augmented Generation (RAG), or LLM orchestration frameworks (LangChain, Semantic Kernel). Our Equal Employment Opportunity Policy The company is an equal opportunity employer. The company shall not discriminate against any employee or applicant because of race, color, religion, creed, ethnicity, sex, sexual orientation, gender or gender identity (except where gender is a bona fide occupational qualification), national origin or ancestry, age, disability, citizenship, military/veteran status, marital status, genetic information or any other characteristic protected by applicable federal, state, or local law. We are committed to equal employment opportunity in all decisions related to employment, promotion, wages, benefits, and all other privileges, terms, and conditions of employment. The company is dedicated to seeking all qualified applicants. If you require an accommodation to navigate or apply for a position on our website, please get in touch with Heaven Wood via e-mail at accommodations@koniag-gs.com or by calling 703-488-9377 to request accommodations. Koniag Government Services (KGS) is an Alaska Native Owned corporation supporting the values and traditions of our native communities through an agile employee and corporate culture that delivers Enterprise Solutions, Professional Services and Operational Management to Federal Government Agencies. As a wholly owned subsidiary of Koniag, we apply our proven commercial solutions to a deep knowledge of Defense and Civilian missions to provide forward leaning technical, professional, and operational solutions. KGS enables successful mission outcomes for our customers through solution-oriented business partnerships and a commitment to exceptional service delivery. We ensure long-term success with a continuous improvement approach while balancing the collective interests of our customers, employees, and native communities. For more information, please visit www.koniag-gs.com. Equal Opportunity Employer/Veterans/Disabled. Shareholder Preference in accordance with Public Law 88-352
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We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
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Albuquerque, NM, USA
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