Data Engineer II

Workforce Classification:

Join Our Team: Do Meaningful Work and Improve People’s Lives 

Our purpose, to improve customers’ lives by making healthcare work better, is far from ordinary. And so are our employees. Working at Premera means you have the opportunity to drive real change by transforming healthcare.

Premera is committed to being a workplace where people feel empowered to grow, innovate, and lead with purpose. By investing in our employees and fostering a culture of collaboration and continuous development, we’re able to better serve our customers. It’s this commitment that has earned us recognition as one of the best companies to work for. Learn more about our recent awards and recognitions as a greatest workplace.

Learn how Premera supports our members, customers and the communities that we serve through our Healthsource blog:  https://healthsource.premera.com/.

As a Data Engineer II, you will design, build, and optimize data pipelines and infrastructure to support AI/ML models and advanced analytics. This role bridges data engineering and AI development, ensuring scalable, reliable, and high-performance data systems for machine learning workflows.

This is a telecommuter position, working from home.

What you’ll do:

• Data Pipeline Development:

  • Build and maintain robust ETL/ELT pipelines for structured and unstructured data from multiple sources.

• Data Architecture:

  • Design and implement scalable data architectures for AI/ML workloads using cloud platforms (AWS, Azure, GCP).

• Feature Engineering:

  • Collaborate with data scientists to prepare and transform data for model training and inference.

• Model Deployment Support:

  • Integrate ML models into production systems, ensuring efficient data flow and monitoring.

• Performance Optimization:

  • Optimize data storage, retrieval, and processing for large-scale datasets.

• Governance & Security:

  • Implement data quality checks, compliance standards, and security best practices.

What you’ll bring:

Required Qualifications

• Bachelor’s Degree in Computer Science, Computer Engineering, or similar area.

• (2) years of relevant experience and knowledge of the software development lifecycle, relational database theory, and skills to utilize one or more programming languages.

Preferred Qualifications

• Master’s Degree in Computer Science, Data Engineering, or a related field.

• Experience with containerization (Docker, Kubernetes).

• Knowledge of data governance and MLOps best practices.

Knowledge, Skills, and Abilities

• Programming: Python, SQL, and experience with frameworks like PySpark or Dask.

• Data Platforms: Experience with Hadoop, Spark, Databricks, or similar big data tools.

• Cloud Services: AWS (S3, Glue, EMR), Azure Data Factory, or GCP BigQuery.

• ML Workflow Tools: Familiarity with MLflow, TensorFlow, or PyTorch.

• Databases: Snowflake Data Platform, Relational (PostgreSQL, MySQL), and NoSQL (MongoDB, Cassandra).

• Version Control & CI/CD: Git, Jenkins, or similar tools.

• Strong problem-solving and analytical thinking.

• Ability to collaborate with cross-functional teams.

• Excellent communication skills.

Physical Requirements

The following have been identified as essential physical requirements of this job and must be performed with or without an accommodation:

• This is primarily a sedentary role which requires the ability to exert up to 10 lbs. of force occasionally and/or a negligible amount of force frequently or constantly to lift, carry, push, pull, or otherwise move objects, including the human body.

• This role requires the ability to keyboard and to communicate clearly and understandably in person and over the telephone.

Premera total rewards

Our comprehensive total rewards package provides support, resources, and opportunities to help employees thrive and grow. Our total rewards are more than a collection of perks, they're a reflection of our commitment to your health and well-being. We offer a broad array of rewards including phys