Data Engineer, Data Scientist- US Healthcare

Location: Remote (India)
Shift: EST/ PST Time Zone

Role Overview

We are looking for Data Engineer and Data Scientists with strong US Healthcare experience- focusing Health Systems and hands-on skills in SQL, Looker/LookML, and Epic EHR. The role involves building dashboards, running analyses, and supporting clinical and operational teams in the US.

Key Responsibilities

• Build dashboards/reports using Looker.
• Write and optimize complex SQL queries.
• Work with Epic EHR datasets (Clarity/Caboodle).
• Build data processing pipelines that collect, connect, centralize and curate data from various internal and external sources into an Enterprise Data Warehouse.
• Design, implement, test and deploy scalable, reliable data engineering solutions for moving data efficiently across systems.
• Work in an Agile team setting; break down work into small increments and provide just-in-time design.
• Define and implement dimensional data models; create stored procedures/functions; optimize SQL queries on large scale database platforms.
• Ensure data quality: write test scripts, test cases for analytic solutions, support SDLC (requirements → architecture → implementation → deployment → support) for data solutions.
• Preferred: Automate predictive models (R/Python/SAS/SPSS), API development, continuous delivery and deployment for analytics, dashboard/visualization development.
• Collaborate with stakeholders in PST hours.

Required Skills

• Mandatory previous experience in working with US Healthcare with Hospitals / Health Systems from offshore / nearshore locations.
• Strong SQL + Looker/LookML capability.
• Experience with Epic HER- must
• For the Data Engineer role: at least 3- 5 years of experience in technology/data engineering role building scalable architectures on large scale database platforms.
• Strong SQL skills (query optimization, stored procedures, functions) and experience working in a complex data infrastructure environment.
• Experience in SDLC for data/analytics solutions.
• Experience with tools like Netezza, IBM DataStage, BitBucket, JIRA, Confluence.
• Experience productizing/automating predictive models (R/SAS/Python/SPSS).
• Familiarity with Agile methodologies, test-driven development for analytics, API development, and visualization/dashboard tools.
• Ability to work with EHR/data warehouse, claims, population health, interoperability (FHIR/HL7)”.
• For senior roles, highlight “ability to translate clinical/operational questions into data engineering or data science solutions that drive cost-savings, quality, outcomes, operational efficiency”.
• Excellent communication skills for US teams.

Job Type: Contractual / Temporary
Contract length: 12 months

Pay: ₹80,000.00 - ₹250,000.00 per month

Benefits:

• Work from home