Senior Data Engineer

UnitedHealth Group•Eden Prairie, MN

11d•$91,700 - $163,700

About The Position

At UnitedHealthcare, we’re simplifying the health care experience, creating healthier communities and removing barriers to quality care. The work you do here impacts the lives of millions of people for the better. Come build the health care system of tomorrow, making it more responsive, affordable and optimized. Ready to make a difference? Join us to start Caring. Connecting. Growing together As a Senior Data Engineer, you will be responsible for developing complex data sources and pipelines within our data platform, including Snowflake, Azure, Airflow, and related automation tools. You will work closely with Data, Architecture, Business Analysts, and Data Stewards to align requirements, specifications, and constraints across solutions. This role also helps identify gaps in resources, technology, or capabilities and partners with the data engineering team to implement effective solutions with a solid focus on customer usability.

Requirements

Bachelor's degree in Computer Science or a related field
Hands-on experience developing data pipelines in Snowflake and writing complex SQL queries
Proven hands-on experience as a Data Engineer
Experience with CI/CD pipelines using Git and Git Actions
Experience building ETL/ELT data pipelines
Experience with related open-source platforms and languages such as Scala, Python, Java, and Linux
Experience with relational and non-relational databases
Experience working on Agile/Scrum projects with high-performing teams
Knowledge of data modeling techniques, including star schema, dimensional models, and Data Vault
Knowledge of data warehousing principles, architecture, and implementation
Knowledge of mesh compliance is desirable but not essential
Solid knowledge of Python
In-depth knowledge of Snowflake architecture, features, and best practices
Good understanding of access control, data masking, and row access policies
Exposure to DevOps methodology
Proficiency in SQL, including window functions and advanced features
Proven solid written and verbal communication skills
Proven solid analytical and problem-solving skills applied to large data sets

Nice To Haves

Bachelor's degree or higher in Database Management, Information Technology, Computer Science, or a related field
Experience in Data Engineering
Experience orchestrating data tasks in Airflow to run on Kubernetes for data ingestion, processing, and cleaning
Experience with Databricks
Familiarity with Azure services such as Blob Storage, Functions, Azure Data Factory, Service Principal, Containers, and Key Vault
Expertise in designing and implementing data pipelines to process high volumes of data
Motivated self-starter who excels at managing tasks independently and takes ownership
Proven ability to create Docker images for applications to run on Kubernetes

Responsibilities

Integrate data from multiple on-premises and cloud sources and systems, handling ingestion, transformation, and consolidation to create a unified and reliable data foundation for analysis and reporting
Develop data transformation routines to clean, normalize, and aggregate data, including handling complex data structures and missing or inconsistent data
Implement data de-identification and data masking in line with company standards
Monitor data pipelines and data systems to detect and resolve issues promptly
Develop monitoring tools and automate error-handling mechanisms to ensure data integrity and system reliability
Use data quality tools such as Great Expectations or Soda to support the accuracy, reliability, and integrity of data throughout its lifecycle
Create and maintain data pipelines using Airflow and Snowflake as primary tools
Develop SQL stored procedures to perform complex transformations
Understand data requirements and design optimal pipelines to fulfill business use cases
Create logical and physical data models to maintain data integrity
Support CI/CD pipeline creation and automation using Git and Git Actions
Tune and optimize data processes