Data Engineer II

Premera Blue Cross•Bellingham, WA

6d•Remote

About The Position

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.

Requirements

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.
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.

Nice To Haves

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.

Responsibilities

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.

Benefits

Medical, vision, and dental coverage with low employee premiums.
Voluntary benefit offerings, including pet insurance for paw parents.
Life and disability insurance.
Retirement programs, including a 401K employer match and, believe it or not, a pension plan that is vested after 3 years of service.
Wellness incentives with a wide range of mental well-being resources for you and your dependents, including counseling services, stress management programs, and mindfulness programs, just to name a few.
Generous paid time off to reenergize.
Looking for continuing education? We have tuition assistance for both undergraduate and graduate degrees.
Employee recognition program to celebrate anniversaries, team accomplishments, and more.
For our hybrid employees, our on-campus model provides flexibility to create your own routine with access to on-site resources, networking opportunities, and team engagement.
Commuter perks make your trip to work less impactful on the environment and your wallet.
Free convenient on-site parking.
Subsidized on-campus cafes make lunchtime connections with colleagues fun and affordable.
Participate in engaging on-site activities such as health and wellness events, coffee connects, disaster preparedness fairs and more.
Our complementary fitness & well-being center offers both in-person and virtual workouts and nutritional counseling.
Need a brain break? Challenge someone to a game of shuffleboard or ping pong while on campus.