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 user experience. Having recently secured $15M in Series A funding, they're expanding their engineering team to enhance their data infrastructure that processes billions of healthcare claims.
As a Data Engineer at MedScout, you'll be at the forefront of transforming complex healthcare data into actionable insights. Working with modern technologies like Databricks and Elasticsearch, you'll design and implement scalable data pipelines, ensure data quality, and optimize system performance. The role offers significant opportunities to grow technically while making a direct impact on the business.
The ideal candidate brings 3+ years of experience in building and maintaining data pipelines, with strong expertise in Python and PySpark. You should have a solid understanding of data modeling, quality frameworks, and modern software development practices. The ability to collaborate effectively with cross-functional teams and translate business requirements into technical solutions is crucial.
MedScout offers a culture built on strong values including diligent preparation, trust, continuous learning, and decisive action. They provide comprehensive benefits including fully covered healthcare, vision, and dental insurance, along with a generous learning and development budget. As a remote-first company, they maintain team connectivity through regular on-sites.
The company is committed to diversity and equal opportunity, actively building a team that represents various backgrounds, perspectives, and skills. They believe this diversity enhances their work and contributes to their mission of delivering life-changing medical innovations to patients who need them most.
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 to implement 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 building data pipelines in modern data warehouse
- Proficiency in Python and PySpark
- Good understanding of data modeling and schema design
- Expertise with data quality frameworks
- Familiarity with version control, CI/CD, and infrastructure as code
- Ability to work effectively with cross-functional teams
Benefits For Data Engineer
- 100% covered healthcare
- Vision and dental insurance
- 50% dependent coverage
- Remote first culture
- Learning and development budget
- Regular team on-sites
