Evernorth Core Platform Engineering team is looking for a Data Engineer to design, develop, and implement robust data pipelines for Packaged Business Capabilities (PBCs). You'll work closely with data scientists, analysts, and other engineers to ensure high data quality, performance, and availability.
The ideal candidate brings hands-on experience working with big data tools and platforms such as Apache Spark and Databricks, has a strong command of Python, and is comfortable managing ETL workflows, DAGs, and orchestration using tools like Jenkins or Airflow. Experience in cloud-native environments--particularly
AWS and AWS Glue
--is essential.
ABOUT EVERNORTH:
Evernorth? exists to elevate health for all, because we believe health is the starting point for human potential and progress. As champions for affordable, predictable, and simple health care,
we solve the problems others don't, won't or can't.
Our innovation hub in India will allow us to work with the right talent, expand our global footprint, improve our competitive stance, and better deliver on our promises to stakeholders. We are passionate about making healthcare better by delivering world-class solutions that make a real difference.
We are always looking upward. And that starts with finding the right talent to help us get there.
Key Responsibilities:
< >Design, implement, and optimize
data pipelines
using Apache Spark and
Databricks
to ingest, process, and transform large-scale structured and unstructured datasets.Develop, schedule, and monitor
ETL workflows and DAGs
using orchestration tools such as
Airflow
,
Jenkins
, or similar.Build and maintain
data models
,
tables
, and
schemas
optimized for analytics and reporting in cloud-based data warehouses.Write clean, reusable, and modular code in
Python
, following best practices and standards.Use
AWS Glue
to manage metadata, data cataloging, and ETL transformation jobs.Collaborate with analytics and product teams to understand data needs and translate them into engineering solutions.Ensure data quality, reliability, and observability through unit testing, logging, alerting, and documentation.Support version control and CI/CD practices for data pipelines.Participate in code reviews and contribute to team knowledge sharing.
Required Qualifications
< >3-5 years of experience in data engineering or related field.Strong experience working with
Apache Spark
in distributed data processing.Hands-on experience with
Databricks
and working in collaborative notebooks.Proficient in
Python
for data processing and scripting.Experience building and managing
ETL pipelines
and
DAG workflows
using orchestration tools (e.g., Jenkins, Airflow, Luigi).Solid understanding of
cloud services
, particularly
AWS Glue
, S3, Lambda, and Athena.Experience working with structured and semi-structured data (e.g., JSON, Parquet, Delta Lake).Familiarity with
CI/CD
practices and tools (Git, Jenkins, etc.).Comfortable with
SQL
and relational database systems (e.g., PostgreSQL).Excellent problem-solving skills and attention to detail.Strong communication and collaboration abilities.
Desired Experience:
< >Experience with
Delta Lake
,
Unity Catalog
, or
Medallion architecture
on Databricks.Experience with monitoring and logging tools (e.g., CloudWatch).Familiarity with data governance, access controls, and compliance standards.Prior experience working in Agile/Scrum development teams.
Location & Hours of Work
< >Full-time position, working 40 hours per week. Expected overlap with US hours as appropriate.Primarily based in the Innovation Hub in Hyderabad, India, with flexibility to work remotely as required.
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.
About Evernorth Health Services
Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives.
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