Data Engineer
Description For Data Engineer
MedScout is revolutionizing the MedTech industry with their revenue acceleration platform that combines medical claims intelligence with an intuitive sales-focused user experience. Fresh off a $15M Series A funding round, they're expanding their engineering team to build and optimize data infrastructure processing billions of healthcare claims.
As a Data Engineer, you'll be at the forefront of transforming complex healthcare data into actionable insights using modern technologies like Databricks and Elasticsearch. You'll work on designing and implementing scalable data pipelines, ensuring high data quality, and optimizing system performance. The role offers significant opportunities for technical growth and business impact.
The company values effort on inputs, earning trust, intelligence-driven operations, hiring the best talent, and taking decisive action. They offer a comprehensive benefits package including fully covered healthcare, vision, and dental insurance, 401k, and generous learning budget. The remote-first culture includes quarterly on-sites with the team.
The ideal candidate brings 3+ years of experience with data pipelines, strong Python and PySpark skills, and expertise in data modeling and quality frameworks. You'll collaborate with cross-functional teams to translate business requirements into technical solutions while maintaining high performance and cost efficiency.
MedScout is committed to diversity and equal opportunity, building an inclusive team representing various backgrounds and perspectives. They provide reasonable accommodations for disabilities and maintain a supportive, growth-oriented environment where your ideas will be heard and executed.
Responsibilities For Data Engineer
- Design, implement, and maintain scalable data pipelines using Databricks, Python, and PySpark
- Develop processes to integrate multiple healthcare claims databases
- Work with Product, Customer Success, and Sales leaders to understand customer needs
- Collaborate with data scientists and analysts on data transformations
- Troubleshoot and resolve complex data pipeline issues
- Optimize workloads and cluster configurations to reduce compute costs
Requirements For Data Engineer
- 3+ years of experience with data pipelines in modern data warehouses
- Proficiency in Python and PySpark
- Understanding of data modeling and schema design
- Experience with data quality frameworks
- Familiarity with version control, CI/CD, and infrastructure as code
- Strong cross-functional communication skills
Benefits For Data Engineer
- Fully covered healthcare
- Vision and dental coverage
- 401k package
- Remote first culture with quarterly on-sites
- Generous budget for learning and development
- Quality accommodations for business travel
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