Sr Data Engineer - AI

Humana Inc; Saint Paul (MN); Remote; USD 106,000 - 147,000; Full time

Job summary

A leading healthcare company is seeking a Senior Data Engineer to build the Agentic AI platform. This role involves designing data pipelines and collaborating with data scientists on AI solutions. Candidates should have a strong background in Python development and experience with data analysis, machine learning, and cloud technologies. Competitive benefits and a salary range of $106,900 - $147,000 per year are offered.

Benefits

Medical, dental, and vision benefits

401(k) retirement savings plan

Paid time off and volunteer time off

Qualifications

• Minimum of 5 years of professional experience in data engineering.
• 7+ years of experience in Python application development.
• 3+ years of experience with CI/CD tools and pipelines.

Responsibilities

• Build and maintain robust APIs for generative AI agents.
• Design, develop, and maintain data pipelines.
• Collaborate with data scientists to translate model requirements.

Skills

Python application development

Data manipulation libraries (e.g., Pandas, NumPy)

Understanding of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)

Experience with containerization (e.g., Docker, Kubernetes)

Experience with CI/CD tools

Experience with PySpark

Knowledge of LLMs

Education

Bachelor's Degree in Computer Science, Mathematics, or related field

Master's Degree in a similar field

Tools

API frameworks (e.g., FastAPI, Flask)

Cloud platforms (e.g., Azure, GCP, AWS)

Version control systems (e.g., Git)

Big data technologies (e.g., Hadoop, Spark, Kafka)

Job description

Become a part of our caring community and help us put health first

Overview

As a Senior Data Engineer, you will play a critical role in building the Agentic AI platform and delivering cutting-edge AI-powered solutions. You’ll work with large-scale datasets and state-of-the-art tools to address complex business problems. This role involves close collaboration with data scientists and fellow engineers across the entire AI development lifecycle—from data ingestion to deployment and monitoring.

Responsibilities

• Explore and implement generative AI technologies using Large Language Models and other generative models to create innovative solutions.
• Build and maintain robust APIs for enabling Retrieval-Augmented Generation and generative AI agents within business use cases.
• Design, develop, and maintain robust data pipelines for ingestion, processing, and transformation of large datasets.
• Assist our data science team in the development and deployment of traditional machine learning models.
• Collaborate with data scientists to understand model requirements and translate them into scalable engineering solutions.
• Monitor and maintain performance and reliability of deployed APIs, models, and data pipelines.
• Stay up to date with the latest advancements in machine learning, generative AI, and related technologies.

Required Qualifications

• Bachelor's Degree in a quantitative discipline (e.g., Computer Science, Mathematics, Statistics, or a related field) with a minimum of 5 years of professional experience; OR
• Master's Degree in a similar field with at least 5 years of relevant experience.
• 7+ years of Python application development and data manipulation libraries (e.g., Pandas, NumPy).
• Familiarity with API frameworks (e.g., FastAPI, Flask) and RESTful API concepts.
• Strong understanding of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• 3+ years of experience with containerization (e.g., Docker, Kubernetes).
• 3+ years of experience with CI/CD tools, pipelines
• 3+ years of experience with PySpark.
• 2+ years of experience working on any cloud platform. (Azure / GCP / AWS)

Highly Desired Qualifications

• Experience working with Large Language Model (LLM) in application development
• Experience with version control systems (e.g., Git) and software development best practices.
• Excellent problem-solving skills and ability to work in a collaborative environment.
• Knowledge of generative AI frameworks such as Langchain or Pydantic AI.
• Experience deploying software using tools like Docker and Kubernetes.
• Experience with deep learning techniques and frameworks.
• Experience working with any nosql DBs.
• Knowledge of natural language processing (NLP).
• Familiarity with big data and data streaming technologies (e.g., Hadoop, Spark, kafka).

WAH requirements

• A must have the ability to provide a high-speed DSL or cable modem for a home office. Associates or contractors who live and work from home in the state of California will be provided payment for their internet expense.
• A minimum standard speed for optimal performance of 25x10 (25mpbs download x 10mpbs upload) is required.
• Satellite and Wireless Internet service is NOT allowed for this role.
• A dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information.

Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.

Scheduled Weekly Hours

40

Pay Range

The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.

$106,900 - $147,000 per year

This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.

Description of Benefits

Humana, Inc. and its affiliated subsidiaries (collectively, “Humana”) offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.

Application Deadline: 09-25-2025

About us

Humana Inc. (NYSE: HUM) is committed to putting health first – for our teammates, our customers and our company. Through our Humana insurance services and CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health – delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare, Medicaid, families, individuals, military service personnel, and communities at large.

Equal Opportunity Employer

It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.

Humana complies with all applicable federal civil rights laws and does not discriminate on the basis of race, color, national origin, age, disability, sex, sexual orientation, gender identity or religion. We also provide free language interpreter services. See our https://www.humana.com/legal/accessibility-resources?source=Humana_Website.