Our Client Currently looking for Associate Data Engineer

What you’ll do:

• Build and maintain data pipelines in Databricks (SparkSQL/PySpark) that ingest, transform, and validate data from sources like our platform databases, payer eligibility files, provider and claims systems, and third-party APIs – with a senior engineer as your mentor and reviewer
• Work across the full path a dataset takes – ingestion, transformation, modeling, and the Looker dashboard or downstream workflow it feeds – with guidance at first and increasing independence as you go
• Help build and maintain automated inbound/outbound file exchanges (eligibility, claims status, reporting) that other teams depend on to run their day-to-day operations
• Work with AI coding agents as a normal part of your workflow, and take full accountability for the output: you should be able to explain every file in your diff
• Write tests and validation checks for your pipelines, and treat data quality as part of shipping rather than a phase afterwards
• Participate in design reviews and code reviews from your first weeks – including reviewing other engineers’ work, because a bare approval with no comment isn’t a completed review here
• Ask why. We reason from first principles and we have an explicit norm that engineers are not implementation machines – if a requirement doesn’t make sense, we want you to say so
• Handle protected health information correctly, with data governance, access controls, and audit logging as first-class requirements rather than afterthoughts

About you:

• Graduating with a B.S. or M.S. in Computer Science, Data Science, Computer Engineering, or a related technical discipline between December 2026 and June 2027
• You’ve built things nobody assigned you – side projects, coursework you took further than required, hackathon work, something with real data, however small
• Strong SQL skills and working knowledge of Python for data processing
• Some exposure to Databricks, Spark, or a similar distributed data processing tool – coursework, an internship, or a personal project is enough; we don’t expect production experience
• A basic mental model of how data moves from a source system into a warehouse or lakehouse and out to a report
• You use AI coding tools and you’ve formed opinions about them – including where they mislead you and how you catch it
• You can explain a technical decision you made and what you’d do differently, which matters more to us than the sophistication of the project
• Comfortable with ambiguity and with being told “we haven’t figured that out yet”
• Intellectually honest: you can change your mind when the evidence changes, and you’d rather delete your own work than defend it
• Clear written and verbal communication – you’ll be writing documentation and PR descriptions that other teams depend on

• Are you interested in this position?

   

  Apply by clicking on the “Apply Now” button below!

   

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