Job Description

Job Description

Job Description

This is a remote position.

Walker Bowen Talent Partners is excited to partner with a scaling non-emergency medical transportation (NEMT) health tech company as they expand their presence in the state Medicaid (FFS) transportation programs and build a best-in-class capability to compete and win in this segment.

If you’re passionate about using data to build product roadmaps that unlock the business process to support teams in a growing company, then we’d love to chat!

Our Client

Our client is a technology and services company dedicated to reducing barriers to care by improving the delivery of non-emergency medical transportation to people across America. Our client employs proprietary technology, paired with a nationwide network of vetted transportation providers. This enables payers and health systems to deliver cost-effective, on-demand transportation intelligently, enhancing the patient experience in the process. They serve the largest Medicare Advantage, Medicaid, and provider programs in the country.

About the Role

We’re seeking a Data Engineer to design, build, and optimize scalable data systems that power critical business insights and operational workflows.

This role plays a key part in e nabling data-driven decision-making across the organization, including supporting high-impact processes such as complaints tracking and resolution.

You’ll work cross-functionally to ensure reliable, efficient, and well-designed data infrastructure that supports our client’s mission to improve access to care.

Job Responsibilities

• Design, build, and maintain scalable ETL pipelines and data workflows to support analytics and operational use cases
  
• Develop and optimize data models and warehouse structures to enable efficient reporting and insights
  
• Partner with cross-functional teams (Operations, Compliance, Product, BI) to translate business requirements into data solutions, including support for complaints and regulatory processes
  
• Improve and maintain data quality, integrity, and governance standards across systems
  
• Optimize query performance, dashboards, and reporting infrastructure for scalability and efficiency
  
• Contribute to system design discussions, ensuring data architecture supports long-term business needs and growth
  
• Troubleshoot and resolve data issues, ensuring reliability and accuracy of datasets used across the organization
  

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field
  
• 3+ years of professional experience in data engineering or related roles
  
• Experience with Python
  
• Hands-on experience with data modeling, ETL development, and data warehousing
  
• Experience with analytics datastores such as Redshift (preferred), Snowflake, SQL Server, etc.
  
• Experience working with Cloud warehousing solutions such as AWS Glue (preferred), Azure Data Factor, GCP BigQuery, etc.
  
• Experience with BI and reporting tools such as QuickSight (preferred), Tableau, or PowerBI.
  
• Proficiency in at least one modern programming language (e.g., Python, Java, Scala)
  
• Strong problem-solving, troubleshooting, and analytical skills
  

Preferred Qualifications

• Strong understanding of system design and data architecture principles
  
• Experience supporting operational workflows or compliance-driven processes (e.g., complaints, claims, or regulatory reporting)
  
• Experience working with multiple database platforms and very large-scale datasets
  
• Strong communication skills with the ability to work cross-functionally
  

Remote-first work environment, competitive compensation, and comprehensive benefits including:

• Career growth and development opportunities in a mission-driven organization
  
• Competitive salary, annual bonus opportunities, and equity options
  
• Remote with flexible hours
  
• Comprehensive medical, dental, and vision insurance
  
• 401(k) with company match
  
• Generous PTO, paid company holidays, and paid parental leave
  

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