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Source Meridian is a development software company that works to solve the industry’s most challenging problems in healthcare practices. We are laser focused on specific technologies in the healthcare and life science industries: Healthcare technology, artificial intelligence, and healthcare interoperability.
We're growing a data engineering team for a US-based client whose entire data platform runs on Databricks on AWS. The immediate priority is building out and scaling their data ingestion layer — bringing in data from a wide range of source systems reliably, efficiently, and in a way that holds up as the platform grows. You'll work closely with two client-side teams: The DBA team, who own data governance and are the authority on source systems, access, and data stewardship.
5+ years of experience as a Data Engineer
Strong, demonstrable Databricks experience. Someone who knows the platform well in production, not just conceptually. Delta Lake, workflows/jobs, clusters and compute
configuration, Unity Catalog.
Advanced Python for data engineering.
Strong Apache Spark — including an understanding of how to diagnose and fix performance problems, not just write working code.
AWS fundamentals as they relate to a data platform (S3, IAM, networking basics, secrets management).
SQL at a strong level.
Experience designing ingestion pipelines from multiple heterogeneous source systems.
Senior-level autonomy: able to take an ambiguous requirement, ask the right questions, and deliver.
✔ Permanent contract
✔ High-impact projects in the healthcare industry
✔ Learning and continuous growth environment 🚀
✔ Competitive salary based on experience 💰
✔ Collaborative and international team
📍 Apply only if you reside in Colombia 📍
At Source Meridian, you’ll be part of a high-impact tech-health company, building products that truly make a difference.
If you meet the profile — or know someone who might be interested — apply now!
We’d love to meet you 💬
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