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Data Engineer Lead - Healthcare
Data Engineer Lead - Healthcare
Mango Sciences's logo

Data Engineer Lead - Healthcare

Supriya C's profile picture
Posted by Supriya C
7 - 12 yrs
₹20L - ₹40L / yr
Remote only
Skills
skill iconPython
SQL
ETL
Data pipeline
Datawarehousing
Data engineering
Large Language Models (LLM)
Generative AI
skill iconAmazon Web Services (AWS)
Google Cloud Platform (GCP)
Microsoft Windows Azure
FHIR
HL7
HIPAA
EMR
EHR
Healthcare

The Mission: We are looking for a visionary Technical Leader to own our healthcare data ecosystem from the first byte to the final dashboard. You won't just be managing a platform; you’ll be the primary architect of a clinical data engine that powers life-changing analytics. If you are an expert in SQL and Python who thrives on solving the "puzzle" of healthcare interoperability (FHIR/HL7) while mentoring a high-performing team, this is your seat at the table.

What You’ll Own

  • Architectural Sovereignty: Define the end-to-end blueprint for our data warehouse (staging, marts, and semantic layers). You choose the frameworks, set the coding standards, and decide how we handle complex dimensional modeling and SCDs.
  • Engineering Excellence: Lead by example. You’ll write production-grade Python for ingestion frameworks and craft advanced, set-based SQL transformations that others use as gold-standard references.
  • The Interoperability Bridge: Turn the chaos of EHR exports, REST APIs, and claims data into clean, FHIR-aligned governed datasets. You ensure our data speaks the language of modern healthcare.
  • Technical Mentorship: Act as the "Engineer’s Engineer." You’ll run design reviews, champion CI/CD best practices, and build the runbooks that keep our small but mighty team efficient.
  • Security by Design: Direct the implementation of HIPAA-compliant data flows, ensuring encryption, auditability, and access controls are baked into the architecture, not bolted on.

The Stack You’ll Command

  • Languages: Expert-level SQL (CTE, Window Functions, Tuning) and Production Python.
  • Databases: Deep polyglot experience across MSSQL, PostgreSQL, Oracle, and NoSQL (MongoDB/Elasticsearch).
  • Orchestration: Advanced Apache Airflow (SLAs, retries, and complex DAGs).
  • Ecosystem: GitHub for CI/CD, Tableau/PowerBI for semantic layers, and Unix/Linux for shell scripting.

Who You Are

  • Experienced: You have 8–12+ years in data engineering, with a significant portion spent in a Lead or Architect capacity.
  • Healthcare-Fluent: You understand the stakes of PHI. You’ve worked with FHIR/HL7 and know how to map clinical resources to analytical models.
  • Performance-Obsessed: You don’t just make it work; you make it fast. You’re the person who uses EXPLAIN/ANALYZE to shave minutes off a query.
  • Culture-Builder: You believe in documentation, observability (lineage/freshness), and "leaving the campground cleaner than you found it."

Bonus Points for:

  • Privacy Pro: Experience with PII/PHI de-identification and privacy-by-design.
  • Cloud Native: Deep familiarity with Azure, AWS, or GCP security and data services.
  • Search Experts: Experience with near-real-time indexing via Elasticsearch.

To process your resume for the next process, please fill out the Google form with your updated resume.

 

Pre-screen Question: https://forms.gle/q3CzfdSiWoXTCEZJ7

 

Details: https://forms.gle/FGgkmQvLnS8tJqo5A

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Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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About Mango Sciences

Founded :
2019
Type :
Product
Size :
20-100
Stage :
Raised funding

About

N/A

Company social profiles

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Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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