Data Engineer

Role Overview

HealthPartners is hiring a Data Engineer to help expand and scale the data foundation that powers pharmacy analytics, reimbursement strategies, and critical business decisions. The Data Engineer will design, build, and optimize data pipelines and products that transform pharmacy, claims, pricing, cost, and reimbursement data into trusted assets for analytics and decision-making.

What You Will Do

The Data Engineer will collaborate with stakeholders, data scientists, and analysts to frame problems, clean, and integrate data, and determine the best way to provision that data on demand. They will build, design, and develop scalable, efficient data pipeline processes to manage data ingestion, cleansing, transformation, integration, and validation required to provide access to prepared data sets for analysts and data scientists.

Why It Might Be a Fit

The ideal candidate will have expertise in one or more of the following areas: relational databases, SQL and Oracle performance tuning, CI/CD, continuous testing, and site reliability engineering (SRE) practices. They will have strong data profiling, analytical, and critical thinking skills, with the ability to identify patterns, trends, and opportunities within complex datasets.

Requirements

• Bachelor’s degree in Computer Science, Data Science, Social Science, Operations Research, Statistics, Applied Mathematics, Econometrics, or another quantitative field
• Four (4) years of experience in business analytics, data science, software development, data modeling, and/or data engineering
• Two (2) years of experience in a hands-on data engineering role
• Two (2) years of experience working with SQL and Python
• Two (2) years of experience working with modern big data platforms such as: Azure Data Factory, Azure Synapse, PowerBI, Databricks, or similar
• Knowledge of data modeling concepts and techniques, including star and snowflake schemas, denormalized data models, and third normal form (3NF)
• Understanding of common data formats, including Parquet, CSV, and JSON
• Experience with version control and CI/CD practices; Git experience preferred
• Self-motivated, curious, and creative, with the ability to work independently and take initiative
• Strong verbal and written communication skills, with the ability to effectively partner with business stakeholders, end users, and technical teams

Benefits

• Dental insurance
• Vision insurance
• Health insurance
• Retirement plan
• Time off
• Continuous learning opportunities