[Hiring] Associate Data Engineer @UnitedHealth Group

Role Description

We are seeking an Associate Data Engineer to design, build, and maintain scalable data pipelines and storage solutions. In this role, you will collaborate closely with data scientists, machine learning engineers, and technical teams to support data pipelines and analytics. You will also embed enterprise-approved AI tools into your daily workflows, leveraging prompt engineering and generative AI tools to streamline processes, automate tasks, augment decision-making, and drive efficiency across healthcare data solutions.

You’ll enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges.

Primary Responsibilities:

• Assist in the development and maintenance of data pipelines for the Enterprise Individual Mastering Platform (EiMP), which consolidates individual data from multiple sources, including eligibility, pharmacy, and patient data.
• Support real-time data ingestion using tools like Kafka, as well as batch processing using Spark.
• Perform data analysis using AWS tools such as Athena to support various business needs.
• Generate reports and dashboards to provide insights and support decision-making processes.
• Participate in the monitoring and maintenance of data quality and integrity across various data sources.
• Assist in resolving data-related issues and discrepancies to ensure accurate and reliable data for the organization.
• Contribute to the creation and maintenance of documentation for data pipelines, processes, and procedures.
• Ensure compliance with data governance and security policies.
• Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data requirements and deliver solutions.
• Provide support for ad hoc data requests and troubleshooting under the supervision of senior team members.
• Use enterprise-approved AI tools to streamline workflows, automate tasks, and drive continuous improvement.
• Evaluate emerging trends to inform solution design and strategic innovation.

Qualifications

• 2+ years of experience with data engineering, database query using SQL, and ETL tools.
• 2+ years of experience with big data processing technologies (e.g., Apache Spark, Apache Kafka).
• 1+ years of experience analyzing data using cloud-based tools (e.g., AWS Athena).
• 1+ years of exposure to AI tools, generative AI tools, or prompt engineering in daily technical workflows.
• Proven ability to troubleshoot data pipeline issues and collaborate effectively across cross-functional technical teams.

Requirements

• Bachelor’s degree in computer science, Data Engineering, Information Technology, or a related field (preferred).
• Experience leveraging enterprise-approved AI tools and Large Language Models (LLMs) to optimize data engineering workflows (preferred).
• Experience working with healthcare data domains (eligibility, pharmacy, or patient records) (preferred).
• Experience establishing data governance, security compliance, and data quality monitoring controls (preferred).

Benefits

• Comprehensive benefits package.
• Incentive and recognition programs.
• Equity stock purchase.
• 401k contribution (all benefits are subject to eligibility requirements).