Sr. Data Engineer

ELLKAY; India; On-site; INR 1,500,000 - 2,700,000; Full time

Job summary

ELLKAY seeks a highly experienced Senior ETL / Healthcare Data Engineer to build and support scalable data integration solutions for US healthcare data, focusing on processing, transforming, and integrating complex clinical and operational datasets with accuracy and compliance.

Ideal candidate combines deep ETL expertise using C#, SQL Server, and Snowflake with knowledge of HL7, CCD, and FHIR; exposure to cloud platforms, Python and AI-driven analytics is a strong plus.

Qualifications

• 5–10 years of experience in ETL development and data engineering.
• Strong hands-on experience with C#.
• Advanced expertise in SQL Server (T-SQL, perf tuning, stored procedures).
• Solid experience with Snowflake in production environments.
• Strong understanding of data warehousing and ETL best practices.

Responsibilities

• Design, develop, and maintain enterprise-grade ETL pipelines for US healthcare data.
• Process and transform healthcare data formats including HL7, CCD, FHIR, and related standards.
• Implement ETL workflows using C#, SQL Server, and Snowflake.
• Build and optimize healthcare-focused data models supporting analytics, reporting, and downstream systems.
• Ensure data quality, validation, normalization, and consistency across clinical and administrative datasets.
• Collaborate with product, clinical, analytics, and compliance teams to translate healthcare requirements into technical solutions.
• Optimize SQL and Snowflake workloads for performance, scalability, and cost efficiency.
• Support cloud-based data platforms using Azure and/or AWS services.
• Leverage Python for data transformation, automation, and orchestration as needed.
• Adhere to HIPAA and healthcare data governance best practices.
• Provide technical leadership and mentor junior engineers on ETL and healthcare data standards.
• Contribute to continuous improvement initiatives, including modernization and AI-ready data pipelines.

Skills

ETL development

C#

Python

Tools

Snowflake

SQL Server

Azure

AWS

Python

Job description

ELLKAY started out providing connectivity solutions to laboratories and within a few years, grew to also provide data management solutions to ambulatory organizations. ELLKAY is now a trusted data management partner in five healthcare segments. ELLKAY’s solutions continue to serve laboratories and ambulatory practices and have expanded to empower hospitals and health systems, healthcare IT vendors, ambulatory practices, health plans, and other healthcare organizations with cutting-edge technologies and solutions that drive their growth and interoperability strategies.

Today, ELLKAY remains true to our core values, building strong partner relationships and offering unparalleled service and support while providing innovative, scalable solutions to the challenges our customers face in today’s data-rich world.

ELLKAY's experience, customer-focused approach, and reputation for innovation, speed, and accuracy differentiate ELLKAY as a premier partner for your interoperability needs and data management strategy.

Job Description

We are looking for a highly experienced Senior ETL / Healthcare Data Engineer to build and support scalable data integration solutions for US healthcare data. This role will focus on processing, transforming, and integrating complex clinical and operational datasets while ensuring accuracy, compliance, and performance.

The ideal candidate combines deep ETL expertise using C#, SQL Server, and Snowflake with a working understanding of healthcare interoperability standards such as HL7, CCD, and FHIR. Exposure to cloud platforms, Python, and emerging AI-driven healthcare analytics is a strong plus.

Essential Duties & Responsibilities

• Design, develop, and maintain enterprise-gradeETL pipelinesfor US healthcare data
• Process and transform healthcare data formats includingHL7, CCD, FHIR, and related standards
• Implement ETL workflows usingC#, SQL Server, and Snowflake
• Build and optimize healthcare-focused data models supporting analytics, reporting, and downstream systems
• Ensure data quality, validation, normalization, and consistency across clinical and administrative datasets
• Collaborate with product, clinical, analytics, and compliance teams to translate healthcare requirements into technical solutions
• Optimize SQL and Snowflake workloads for performance, scalability, and cost efficiency
• Support cloud-based data platforms usingAzure and/or AWSservices
• LeveragePythonfor data transformation, automation, and orchestration as needed
• Adhere toHIPAAand healthcare data governance best practices
• Provide technical leadership and mentor junior engineers on ETL and healthcare data standards
• Contribute to continuous improvement initiatives, including modernization and AI-ready data pipelines

Qualifications

• 5–10 years of experience in ETL development and data engineering
• Strong hands-on experience with C#
• Advanced expertise in SQL Server(T-SQL, performance tuning, stored procedures)
• Solid experience with Snowflake in production environments
• Strong understanding of data warehousing and ETL best practices