Employer description & source details
8+ years of software engineering experience with a strong focus on data engineering and building data-driven products Deep experience designing, building and running production big data pipelines at scale (ETL/ELT, orchestration, scheduling, monitoring) Strong proficiency in PySpark, Scala, Python and SQL Solid experience with distributed data processing and performance tuning in Spark Experience building APIs or backend services that support customer-facing applications Working knowledge of cloud infrastructure (e.g., AWS, GCP or Azure) Hands-on experience with entity resolution, record matching or master data management Experience with data quality, scoring or validation frameworks Comfort working directly with client data, including messy source files, and onboarding enterprise customers Product-engineering mindset: you care about how customers use what you build Preferred: full-stack experience, or experience building web UIs with a modern framework (e.g., React) Preferred: experience building products that turn complex data into customer-facing features Preferred: experience building internal self-service tools Preferred: experience with healthcare data such as provider or HCP directories, rosters, credentialing, clinical trial or site feasibility data Preferred: experience with CTMS or other clinical systems data This role pays $185,000 to $230,000 per year, based on experience, in addition to equity in the form of Restricted Stock Units (RSU). Anticipated role close date: 11/25/2026
Extracted skills: react, python, sql, aws, azure, gcp, customer success, operations