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Associate Data Engineer — Data Ingestion Hyperdrive Bio | Remote (US) About the Role We're looking for a Associate Data Engineer to help us ingest and structure data from the CLIA laboratory partners we work with. You'll build the pipelines that take raw lab data and turn it into clean, usable datasets for our platform. This is a great opportunity to get in early at a growing healthcare data startup, work directly with our founding team, and grow your skills fast with real ownership from day one. No laboratory or pathology background required, we'll teach you the domain. What matters is that you're sharp with data, coachable, and easy to work with. What You'll Do Build and maintain data ingestion pipelines from partner lab sources Write and optimize SQL to structure, clean, and transform data Use Python to automate ingestion, transformation, and QA workflows Troubleshoot data issues independently and flag what needs escalation What We're Looking For 1–2 years of experience (new grads and bootcamp grads welcome) Solid SQL skills — comfortable writing queries, joins, and basic optimization Solid Python skills — scripting, automation, data handling Coachable — takes feedback well and applies it Hard-working and resourceful — figures things out, doesn't stall waiting for answers Self-sufficient — can own a task from start to finish with minimal oversight No prior lab/pathology/healthcare experience required Portfolio required — must have a portfolio of completed data engineering projects (e.g., GitHub, personal site, writeups). Applicants without a portfolio will not be interviewed. Nice to Have Experience with cloud data platforms (Azure, AWS, or similar) Exposure to ETL/ELT pipeline development Compensation & Growth Base salary: up to $70,000/year, commensurate with experience Direct mentorship from our founding/leadership team Real ownership and room to grow as the data platform (and team) scales Fully remote
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.