Sr Data Engineer

Veradigm®

Maharashtra

Hybrid

INR 3,500,000 - 5,500,000

Full time

14 days+

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Benefits offered by this job

Quarterly Recharge Days

Flexible Work Environment (Hybrid)

Peer-based Cheer awards

Tuition Reimbursement Program

Job summary

Veradigm is seeking a Senior Data Engineer to design, develop, and optimize healthcare data solutions powering analytics, reporting and client deliverables. This role focuses on scalable, compliant data pipelines across clinical, claims and operational datasets.

The ideal candidate has deep experience with healthcare data ecosystems, Azure-based data platforms, and partnering with cross-functional teams to deliver client-focused results.

Qualifications

Bachelor’s degree or equivalent experience in CS/engineering.
5+ years of data engineering experience, preferably healthcare or regulated data.
Strong SQL and T-SQL with hands-on stored procedures.
Experience with SQL Server performance tuning & indexing strategies.
Strong Python or similar programming language.
Hands-on Azure data services: Data Factory, Synapse, Azure SQL, Data Lake/Blob.
Experience designing and managing ETL/ELT pipelines.
Solid understanding of healthcare data structures (claims, encounters, provider, member).
Experience with data warehousing and modeling (star schema).
Familiarity with DevOps, CI/CD, and Git.

Responsibilities

Design, build, and maintain scalable ETL/ELT pipelines for healthcare data.
Develop and maintain SQL Server stored procedures for data transformations.
Implement complex transformations using T-SQL and data standardization.
Optimize performance of SQL queries and ETL processes.
Develop and optimize data solutions within Azure (Data Factory, Synapse, Data Lake).
Lead data onboarding and client data integration activities.
Collaborate with Professional Services, Product, DevOps, and Analytics teams.
Ensure data quality, integrity, and governance including HIPAA/PHI compliance.
Document data models, mappings, and transformation logic.
Troubleshoot pipeline failures and performance issues; support client-facing deployments.

Skills

ETL/ELT pipelines

SQL & T-SQL

Python

Azure data services

Data modeling/warehousing

HIPAA/PHI compliance

CI/CD / DevOps basics

Healthcare data ecosystems

Education

Bachelor’s degree in Computer Science, Engineering, or related field

Tools

Azure Data Factory

Azure Synapse

Azure SQL

Data Lake/Blob Storage

Databricks

SQL Server

Spark

Job description

Senior Data Engineer – Healthcare Data (Veradigm)

Overview Veradigm is seeking a Senior Data Engineer to support the design, development, and optimization of healthcare data solutions that power analytics, reporting, and client deliverables. This role is critical in enabling scalable, compliant, and high-quality data pipelines across clinical, claims, and operational datasets.

The ideal candidate brings deep experience in healthcare data ecosystems, strong technical expertise in Azure-based data platforms, and a proven ability to partner with cross-functional teams to deliver client-focused solutions.

Key Responsibilities

Design, build, and maintain scalable ETL/ELT pipelines supporting healthcare data ingestion, transformation, and delivery
- Sources may include claims, EHR/EMR, eligibility, pharmacy, and third‑party datasets
Develop and maintain SQL Server stored procedures that drive core data transformation logic across client‑specific and standardized pipelines
Implement complex transformation logic using T‑SQL, including mapping, validation, aggregation, and data standardization
Optimize performance of SQL queries, stored procedures, and ETL processes to ensure efficient large‑scale data processing
Develop and optimize data solutions within Azure (Data Factory, Synapse, Data Lake, SQL, Databricks)
Lead efforts in data onboarding and implementation, ensuring timely and accurate client data integration
Partner closely with Professional Services, Product, DevOps, and Analytics teams to gather requirements and deliver data solutions
Ensure data quality, integrity, and validation, including reconciliation and audit processes for healthcare datasets
Implement and maintain data governance and compliance standards, including HIPAA and PHI handling requirements
Design and document data models, mappings, and transformation logic for standardized and reusable data assets
Support troubleshooting and resolution of data pipeline failures, performance issues, and client‑impacting defects
Contribute to process improvement initiatives to streamline onboarding, reduce implementation timelines, and enhance data reliability
Mentor junior team members and promote best practices in data engineering and documentation

Required Qualifications

Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience)
5+ years of experience in data engineering, preferably within healthcare or regulated data environments
Strong proficiency in SQL and T‑SQL, with hands‑on experience building complex stored procedures and data transformations
Experience with SQL Server performance tuning, query optimization, and indexing strategies
Strong Python (or similar programming language) skills
Hands‑on experience with Azure data services (e.g., Data Factory, Synapse, Azure SQL, Blob Storage/Data Lake)
Experience designing and managing ETL/ELT workflows and data pipelines
Solid understanding of healthcare data structures (claims, encounters, provider, member, etc.)
Experience with data warehousing and modeling (star schema, dimensional modeling)
Familiarity with DevOps practices, CI/CD pipelines, and version control (Git)

Preferred Qualifications

Experience with healthcare analytics domains such as Risk Adjustment, Quality Measures, or Value‑Based Care
Knowledge of FHIR, HL7, or other healthcare interoperability standards
Experience with big data frameworks (e.g., Spark, Databricks)
Exposure to Power BI or other BI/visualization tools
Experience supporting client‑facing implementations or onboarding projects

Key Skills

Strong analytical and problem‑solving skills with attention to data accuracy
Ability to translate complex healthcare data requirements into scalable solutions
Excellent communication skills, with the ability to work across technical and non‑technical stakeholders
Highly organized with the ability to manage multiple priorities and deadlines

What Success Looks Like

Successful, on‑time delivery of client data onboarding and implementations
High‑performing, reliable data pipelines with strong data quality controls
Efficient, well‑optimized SQL processes supporting large‑scale healthcare datasets
Scalable, reusable data solutions supporting multiple healthcare clients
Improved time‑to‑value for clients through streamlined processes and automation

Strong collaboration across teams, with clear ownership and accountability

Benefits

Veradigm believes in empowering our associates with the tools and flexibility to bring the best version of themselves to work. Through our generous benefits package with an emphasis on work/life balance, we give our employees the opportunity to allow their careers to flourish.