HealthPartners is hiring a Data Engineer Principal. Our mission is to provide simple and affordable healthcare.  HealthPartners teams use data to improve patient and member experience, improve health, and reduce the per capita cost of health care. We are seeking a dynamic and technically skilled data engineer to lead the development and delivery of training programs that empower our 275-person department—including 21 leaders—to thrive in a modern data environment. This role bridges the gap between technical complexity and team capability, ensuring our workforce is confident and competent in using tools like Databricks and Python, while also understanding data governance principles. HealthPartners data engineers are responsible for building, managing and optimizing data pipelines that facilitate data movement in service of these goals by implementing and testing methods (or build systems) that improve data reliability and quality.  They champion and embrace leading practices in the field, and develop processes to effectively store, manage and deliver data.

ACCOUNTABILITIES:

• All team members must champion and model our values of partnership, curiosity, compassion, integrity, and excellence, and must contribute to a culture of continuous learning.
• Work with stakeholders, data scientists and analysts to frame problems, clean and integrate data, and determine the best way to provision that data on demand 
• Collaborate with other engineers to design technology solutions that achieve measurable results at scale
• Provide technical thought leadership for efficient data pipeline processes, warehouse architecture and business intelligence functions.
• Assist in the development of short, medium, and long-term plans to achieve strategic objectives.
• Guide, mentor, influence, and adopt a cloud-first modern data architectural direction, and consistently adopt the associated standards and best practices
• Develop, maintain, and distribute up-to-date training documentation and learning resources. 
• Design and facilitate engaging learning labs, combining presentations with hands-on exercises. 
• Create and deliver advanced training tailored for leadership, enabling them to support their teams effectively in a data-driven environment. 
• Act as a technical translator and coach, helping team members understand and apply concepts related to data lakes, data governance, and data engineering. 
• Collaborate with SMEs, engineers, and leadership to identify learning needs and close knowledge gaps. 
• Serve as a solutions architect when needed, guiding technical setup and best practices in the absence of deep technical leadership. 
• Champion a culture of continuous learning and technical enablement across the department.

REQUIRED SKILLS/ QUALIFICATIONS:

Bachelor’s degree in computer science, data or social science, operations research, statistics, applied mathematics, econometrics, or a related quantitative field AND 4+ years of experience in business analytics, data science, software development, data modeling and/or data engineering work OR Master's Degree in Computer Science, Math, Software is acceptable

• 10+ years of programming experience with command in at least two or more of the following programming languages: SQL, Python, Java, R or Spark
• Expert proficiency in SQL; experience with Oracle, PostgreSQL, MySQL, or Microsoft SQL Server
• 10+ years of experience using a combination of tools such as Azure Data Factory, Synapse, Data Explorer, App Insights, Power BI, and Databricks
• 3+ years of experience using Azure CosmosDB and Azure Data Lake Storage
• Must be motivated, self-driven, curious, and creative
• Proven ability to lead projects and teams with minimal guidance
• Must be skilled communicator, and demonstrate an ability to work with end users and business leaders
• Demonstrate the ability to support and complement the work of a diverse development and/or operations team
• Lead a collaborative, cross-functional team, Active participation in sprint reviews
• Expert and a minimum of five years' experience in the following domains: Data management, software engineering, I&O (infrastructure and operations)

 PREFERRED QUALIFICATIONS:

• Knowledge of health care operations
• Exposure to agile/scrum
• Ability to work in a hybrid cloud environment consisting of on premise and public cloud infrastructure. An ideal candidate will have experience with one or more of the following skill sets
  • Expert in Relational databases like Oracle, SQL server
  • Expert in Optimizing and tuning SQL/Oracle queries, stored procedures and triggers
  • Expert in Python (numpy, pandas, matplotlib etc) and Jupyter notebooks for exploratory data analysis, machine learning, and process automation
  • Expert in areas of CI/CD, Continuous testing, and site reliability engineering.
  • Expert in Microsoft Azure applications such as Azure Data Factory, Synapse, Purview, Databricks /Spark, Power BI, PowerApps.
  • Expert in event streaming tools like NiFi, Kafka and Flink
  • Expert in data processing tools, like Apache’s Sqoop, Spark and Hive
  • Expert in Document or NoSQL datastores, particularly MongoDB
  • Expert in Power BI data models using advanced Power Query and DAX
  • Expert in in AI/ML Ops 
• Interest and desire to contribute to emerging practices around DataOps (CI/CD, IaC, configuration management, etc.)
• Collaborate effectively with product management, program management, engineers, and stakeholders.
• Excellent analytical and critical thinking skills
• Ability to influence without authority and thrive in an ambiguous environment.