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.

Job Title: Software Enineering Lead Analyst

Position Overview

Evernorth Customer Data Platform Engineering team is looking for a Software Engineering Senior Advisor highly skilled in Data Engineering with hands-on experience working with Snowflake. The ideal candidate will have a strong background in Big Data technologies, including Apache Spark (Python or Scala), and expertise in orchestration and integration tools such as Apache Airflow or NiFi, or DBT. Experience with cloud services, preferably AWS, is essential for designing and implementing scalable data pipelines in the cloud. This role offers the opportunity to work on cutting-edge data engineering projects and collaborate with cross-regional teams to deliver innovative solutions.

In this role, you will provide hands-on software engineering and system architecture leadership for our CDP teams. You will be working on several of the largest Technology initiatives for Evernorth℠ targeted at revolutionizing Health Services and Healthcare Delivery system in the United States. The focus of the work is to continue to enhance our market winning capabilities in the pharmacy and PBM space.

The Evernorth℠Technology strategy is fully aligned with our business strategy, resulting in an opportunity for you to influence in various directions – this includes technologybusiness direction.

Responsibilities

Snowflake Expertise: Design, develop, and optimize data pipelines using Snowflake, including building and maintaining multi-layered data models. Optimize queries, ensure performance, and manage the cost efficiency of Snowflake environments.
Cloud Experience: Extensive experience working with AWS or other cloud platforms (such as Azure or Google Cloud) to design, deploy, and manage scalable data solutions. Proficient in utilizing cloud-native services for data storage, processing, and orchestration (e.g., S3, EMR, EC2, Redshift, Athena, Lambda, Glue). Familiar with setting up and managing cloud environments for optimal performance and cost-efficiency.
Big Data Engineering: Lead the design and development of Big Data solutions using Apache Spark (Python/Scala), enabling the processing of petabytes of data in both real-time and batch modes. Work with both structured and unstructured data to build efficient data architectures.
Data Orchestration & Integration: Develop and manage end-to-end ETL/ELT pipelines using Apache Airflow, Apache NiFi, DBT, or other equivalent orchestration tools. Automate data workflows, schedule tasks, and ensure the reliability of data pipelines.
Data Modeling: Design and implement scalable and efficient data models for data storage and retrieval, ensuring data accessibility and optimization. Work on building and managing multi-layered data models that facilitate easy analysis and reporting.
Real-Time Data Streaming: Work with Kafka or other streaming technologies to enable real-time data ingestion and processing. Build and optimize stream processing solutions to integrate event-driven data sources into the pipeline.
Collaboration & Leadership: Work with cross-functional teams, including product, engineering, to develop and implement data solutions. Manage and coordinate with offshore development teams to deliver high-quality data engineering solutions on time and within budget.
SQL & Database Management: Write complex SQL queries to transform and process data across relational and columnar databases. Design and maintain scalable database architectures for both operational and analytical workloads.
Innovation & Optimization: Continuously seek ways to improve the performance, scalability, and reliability of the data platform. Drive innovation by researching and applying the latest tools and technologies in the data engineering space.

Qualifications

Education:

Any bachelor's degree

Experience:

Minimum of 5-8 years of experience

Skills:

Required Skills:

5-8 years of experience in Data Engineering, with a proven track record of designing and building data pipelines and architectures at scale.
At least 4 years of hands-on experience with Snowflake, including data modeling and query optimization, designing and implementing multi-layered data architectures
Experience with cloud services, preferably AWS (e.g., S3, EMR, EC2, Redshift, Athena, Lambda, Glue), for designing, deploying, and managing scalable data solutions.
Strong experience in Big Data technologies like Spark (Python/Scala) for large-scale data processing.
Proficiency in Data Orchestration and Integration tools, such as Apache Airflow, Apache NiFi, DBT, or equivalent.
Expertise in working with relational (e.g., SQL Server, PostgreSQL) and columnar databases (e.g., AWS Redshift, Snowflake), with advanced SQL query writing skills.
Hands-on experience with Kafka or equivalent streaming data systems to process real-time data.
Strong problem-solving skills and the ability to troubleshoot complex issues in distributed systems.
Proven ability to collaborate with offshore teams and coordinate across time zones to deliver successful projects.
Experience with version control systems like Bitbucket or GitHub, and project management tools such as Jira, with familiarity in working within an Agile/Sprint model.
Good to have experience with Jenkins for continuous integration and deployment (CI/CD) pipelines and Terraform for infrastructure as code (IaC) automation.

Required Experience & Education:

5-8 Years of Experience
College degree (Bachelor) in related technical/business areas or equivalent work experience.

Desired Experience: 

Exposure to AWS
Healthcare experience
Coaching of team members

Work Hours:

11.30 AM IST to 8.30PM IST

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.

Software Engineering Lead Analyst - HIH - Evernorth