2 days ago
• At MedScout, we’re creating a revenue acceleration platform for MedTech teams. • As a Data Engineer, you'll help optimize our data infrastructure for healthcare claims processing. • You'll collaborate with our engineering team using technologies like Databricks and Elasticsearch. • You'll design and maintain scalable data pipelines and ensure high data quality for analytics. • You will integrate multiple data sources into a unified data model for our platform. • You will collaborate with teams to understand customer needs and drive data transformations for advanced analytics.
• You have 3+ years of experience building, maintaining, and operating data pipelines in a modern data warehouse like Databricks, Snowflake, or AWS Redshift. • You feel confident using Python and PySpark. • You have a good understanding of data modeling and schema design, particularly in contexts involving complex relationships and high-volume data processing. • You’re an expert with data quality frameworks, including automated testing, validation, and monitoring of data pipelines. • You have familiarity with modern software development practices including version control (Git), CI/CD, and infrastructure as code. • You are able to work effectively with cross-functional teams, translating business requirements into technical specifications and communicating complex technical concepts to non-technical stakeholders.
• Fully covered healthcare and a great vision, dental, and 401k package. • You will feel heard. You will hear, "Yes, let's do that!" and then have the opportunity to execute your ideas successfully. • Remote first culture and quarterly on-sites with the rest of the MedScout Team. • We stay in nice hotels and eat well when we travel for work. No one feels like a badass walking into a Quality Inn. • Generous budget for learning and development + any tools you feel would make you more effective.
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