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AI / Data Engineer (Mid-Level): Python, Azure Data & ML Pipelines

Salary
$90K–$220K
USD per year
Hiring from
United States
Work type
Remote
Posted
Sep 30, 2026
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Explore what happens when ideas Intertwine

At Intertwine Associates, we live by a simple promise: We show up ready to work. We partner with organizations across government, management, strategy, and technology to deliver operational efficiency and measurable impact. Our focus is on practical solutions, tailored frameworks, and innovation that drives meaningful results. Join a team where expertise meets execution, and where your work truly matters. Read more here: www.intertwineassociates.com

Key Role:

Work in a dynamic, fast-paced environment as an AI / Data Engineer supporting federal agencies and other clients. Design, build, and operate the data platforms, machine learning models, and AI applications that help clients turn their data into decisions, from the first pipeline to production systems used every day. Collaborate with client program managers, data scientists, analysts, architects, and governance teams, and bring practical engineering judgment to missions across health, science, security, and public service.

Build production-grade data pipelines that ingest, transform, and validate structured and unstructured data, with schema enforcement, data quality checks, and lineage. Develop, evaluate, and deploy machine learning and AI solutions, including applications built on large language models such as retrieval-augmented generation, document understanding, and agentic workflows. Package models and data as secure APIs and services that other systems can rely on, and implement the logging, monitoring, testing, and performance tuning that keep them reliable. Work in cloud environments (Microsoft Azure, AWS, or Google Cloud) and apply security, privacy, and responsible AI practices suited to regulated and government settings.

Strong client or customer engagement is required in this role. You will interface directly with client stakeholders and are expected to represent Intertwine Associates and the client with professionalism, responsiveness, and sound judgment at every touchpoint. This is a remote position with occasional travel. Assignments are matched to client needs and to each candidate's expertise and eligibility.

Basic Qualifications:

  • Bachelor's degree in computer science, data science, statistics, engineering, or a related field, or equivalent professional experience.
  • 3+ years of experience building data pipelines, machine learning models, or AI applications that run in production.
  • Proficiency in Python and its data libraries (for example pandas and NumPy) and strong SQL skills.
  • Hands-on experience with at least one major cloud platform (Microsoft Azure, AWS, or Google Cloud).
  • Experience with machine learning frameworks such as scikit-learn, PyTorch, or TensorFlow.
  • Experience with data validation, testing, and quality assurance.
  • Experience building APIs or services that expose data or models to other applications.
  • Excellent written and verbal communication skills, including explaining technical work to non-technical audiences.
  • Ability to work independently and collaboratively as part of a team, and to prioritize work.
  • U.S. citizenship or lawful permanent residency may be required per contract.
  • Ability to obtain a federal government Public Trust or security clearance where the assignment requires one.

Additional Qualifications:

  • Experience building applications on large language models: retrieval-augmented generation, embeddings and vector databases, evaluation, and guardrails.
  • MLOps experience: experiment tracking, model registries, CI/CD, containers, and orchestration (for example MLflow, Docker, Kubernetes, Airflow).
  • Experience with modern data platforms such as Databricks, Snowflake, Microsoft Fabric, Azure Data Factory, or AWS Glue.
  • Cloud or data certifications (for example Microsoft Azure Data Engineer or AI Engineer, AWS Machine Learning, Google Professional Data Engineer).
  • Familiarity with federal security and AI governance frameworks (for example FedRAMP, FISMA, NIST AI Risk Management Framework).
  • Experience with health, scientific, or research data, or with supporting a federal agency.
  • An active federal Public Trust or security clearance.

Intertwine Associates LLC – Equal Employment Opportunity Statement

Intertwine Associates LLC is an Equal Opportunity Employer. We are committed to fostering a diverse and inclusive workplace where all individuals are treated with respect and dignity. Employment decisions at Intertwine Associates LLC are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information, marital status, veteran status, citizenship status, or any other characteristic protected by applicable federal, state, or local laws.

We comply with all applicable laws governing nondiscrimination in employment and strive to ensure that our workplace reflects the values of fairness, equity, and opportunity. All qualified applicants will receive consideration for employment without regard to any protected status. We also prohibit retaliation against individuals who report discrimination, participate in investigations, or otherwise exercise their rights under equal employment laws.

Intertwine Associates LLC is proud to support the mission of our clients, including U.S. Federal Government agencies, by providing exceptional technical talent and services. As such, certain roles may require U.S. citizenship or specific security clearances in accordance with federal contract requirements.


Compensation, Bonuses, and Other Incentives:

Intertwine Associates LLC offers a competitive compensation package. The anticipated base salary range for this position is $90,000-$220,000 per year. This range is a good-faith estimate at the time of posting and reflects the base salary the company reasonably expects to offer for this role. Actual base salary will be determined based on lawful, job-related factors, including education, experience, specialized expertise, credentials, geographic location, scope of responsibilities, internal equity, client and contract requirements, and funding availability.

This position may be eligible for discretionary bonuses, signing or retention incentives, or other variable compensation, as stated in the applicable written offer or plan documents. Any bonus or incentive is not guaranteed and is subject to applicable plan terms, individual and company performance, client or contract requirements, funding availability, and applicable law. Bonuses and other incentives are separate from base salary and may be modified or discontinued. The salary range does not include potential bonuses, other incentive compensation, or benefits. Nothing in this posting creates an employment contract or guarantees any specific salary, bonus, incentive, benefit, or term of employment.

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