Data Engineering Associate Manager

INTRODUCTION TO EVERNORTH:

Evernorth Health Services India, established in Hyderabad in 2024, is an innovation hub for Evernorth Health Services, the pharmacy, care and benefits division of The Cigna Group. The innovation hub will support innovation-focused areas, such as generative AI, product development, process improvement, analytics, and software engineering across The Cigna Group and its businesses. Evernorth Health Services India builds on The Cigna Group's existing presence in India.

About Evernorth Health Services:

Evernorth Health Services (Evernorth) is the pharmacy, care and benefits solution division of The Cigna Group - a Fortune 16 global health company with 75,000 employees, 186 million customers in more than 30 countries and jurisdictions around the world. Evernorth exists to make the prediction, prevention, and treatment of illness and disease more accessible to millions of people. We do this by creating and connecting premier health services offerings, such as benefits management, pharmacy, care solutions, insights and intelligence.

About Cigna:

The Cigna Group is a global health company committed to improving the health and vitality of individuals and communities around the world and includes products and services marketed under its Cigna Healthcare and Evernorth Health Services subsidiaries. Cigna Healthcare is the health benefits provider of The Cigna Group, serving customers and clients through its U.S. Employer, U.S. Government, and International Health business. Evernorth Health Services is the pharmacy, care and benefits solution division of The Cigna Group.

Position Overview

Job Title: HIH – Data Engineering Associate Manager

We are looking for an experienced Data Engineering Associate Manager to lead and contribute to the design, development, and delivery of scalable enterprise data solutions.

The ideal candidate will bring strong hands-on expertise in Databricks, Python, PySpark, Apache Spark, and SQL, combined with experience leading engineering teams and delivering data solutions in a complex enterprise environment. Experience working with healthcare data and an understanding of data quality, governance, security, and privacy will be highly valued.

This role requires a strong balance of technical depth, engineering delivery, stakeholder management, and people leadership.

Responsibilities

Data Engineering & Technical Leadership

• Lead the design and development of scalable data pipelines and ETL/ELT solutions using Databricks, Python/PySpark, Spark, and SQL.
• Provide hands-on technical guidance across data ingestion, transformation, processing, and consumption.
• Design and optimize large-scale batch and data-processing solutions using Apache Spark and Databricks.
• Drive development of reusable, maintainable, and production-grade data engineering components.
• Support data modeling and development of solutions across data lake, lakehouse, and analytics ecosystems.
• Conduct technical reviews and ensure engineering solutions meet performance, scalability, reliability, and quality expectations.

Databricks & Data Platform Engineering

• Drive development and optimization of enterprise data workloads using Databricks.
• Build and optimize Spark/PySpark-based data processing solutions.
• Leverage Delta Lake and lakehouse concepts to build scalable and reliable data solutions.
• Optimize Spark jobs, SQL queries, data pipelines, and processing workloads for performance.
• Support production deployments, troubleshooting, monitoring, and continuous improvement of data solutions.

People & Delivery Leadership

• Lead, mentor, and provide technical guidance to data engineering team members.
• Manage team priorities, engineering deliverables, dependencies, risks, and commitments.
• Build engineering capability through coaching, knowledge sharing, and technical mentoring.
• Partner with product, architecture, analytics, business, and engineering stakeholders to translate requirements into technical solutions.
• Drive Agile engineering practices and participate in planning, refinement, delivery reviews, and retrospectives.
• Ensure effective production support and timely resolution of data and pipeline issues.

Required Skills

Primary Skills

• Data Engineering
• Databricks
• Python / PySpark
• Apache Spark
• SQL / Spark SQL
• ETL / ELT
• Data Pipelines
• Data Lake / Data Lakehouse
• Data Modeling
• People Management / Technical Leadership

Preferred Skills

• Healthcare data/domain experience
• Delta Lake
• Data quality and governance
• Metadata management and data lineage
• CI/CD and DataOps/DevOps practices
• Cloud data platforms
• Production support and performance optimization
• Agile/Scrum delivery

Experience

Suggested for this Associate Manager JD:

• 10–13 years of overall technology/data engineering experience.
• Strong hands-on experience in Data Engineering.
• Significant practical experience with Databricks, Python/PySpark, Spark and SQL.
• Prior experience leading or managing Data Engineering teams.
• Experience delivering enterprise-scale data platforms and pipelines.
• Healthcare/insurance domain exposure is preferred.

Education

Bachelor's degree in Computer Science, Information Technology, Engineering, Data Engineering, or a related technical discipline.

Key Sourcing Focus

For sourcing, I would keep these as the non-negotiable/core screening areas:

1. Strong Data Engineering background
2. Databricks
3. Python + PySpark
4. Spark + SQL
5. Healthcare data/domain exposure
6. People/team management experience
7. Data pipeline / ETL-ELT architecture and delivery

Equal Opportunity Statement

Evernorth is an Equal Opportunity Employer actively encouraging and supporting organization-wide involvement of staff in diversity, equity, and inclusion efforts to educate, inform and advance both internal practices and external work with diverse client populations.