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Tech Stack
Tools & technologiesAirflowJavaPythonScalaSparkSQL
About the role
Key responsibilities & impact- Build integrations with healthcare and financial systems
- Automate end-to-end data ingestion and delivery pipelines, with a strong focus on observability and data quality
- Build GenAI features and chat to solve real problems and build user confidence, backed by rigorous evaluation loops and guardrails
- Design high-throughput, low-latency systems where performance is a mission-critical requirement
- Be the glue between our PhD-level Data Scientists and Front-end Engineers, taking raw outputs and building the APIs that drive a full, impactful product
Requirements
What you’ll need- 5+ years of professional software engineering experience
- Ability to write idiomatic, testable, and maintainable code in Python, Java, or Scala
- A "hacker mindset" — pragmatic, curious, and solution-oriented
- Nice to have: Experience building reliable data and ML pipelines using SQL, Spark, or Airflow
- Nice to have: Experience building and deploying online machine learning products
- Nice to have: Experience developing high-volume, low-latency APIs
Benefits
Comp & perks- Flexible work arrangements
- Professional development
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonJavaScalaSQLSparkAirflowAPI developmentdata ingestiondata deliverymachine learning
Soft Skills
pragmaticcurioussolution-oriented
