The Role
Develops and maintains cloud-based data platforms, pipelines, ETL/ELT workflows, and AI capabilities. Writes maintainable code, supports AWS solutions, monitors platform reliability, participates in testing, code reviews, deployments, and CI/CD practices. Collaborates with engineering, product, and business teams to deliver secure, scalable data solutions. Contributes to automation, optimization, governance, and continuous improvement while adopting emerging cloud and AI technologies.
Summary Generated by Built In
Overview:
Cigna International Health is seeking a motivated Data Engineering Analyst to support the development, maintenance, and optimization of cloud-based data and AI solutions. This role will contribute to building scalable, secure, and reliable data platforms that enable business insights, analytics, automation, and AI-driven capabilities.
The ideal candidate will collaborate with senior engineers and product teams to develop high-quality solutions, write clean and maintainable code, and support the successful delivery of data engineering initiatives aligned with business objectives.
Responsibilities:Data Engineering & Development:- Develop, enhance, and maintain cloud-based data solutions and pipelines.
- Support the implementation of AI and data platform capabilities under the guidance of senior engineers.
- Write clean, efficient, and maintainable code following established development standards and best practices.
- Assist in designing and optimizing ETL/ELT workflows and data processing solutions.
- Participate in troubleshooting, monitoring, and improving platform reliability and performance.
- Work closely with product owners, business stakeholders, and engineering teams to understand requirements and deliver solutions.
- Contribute to project execution, ensuring deliverables meet quality and timeline expectations.
- Participate in code reviews, testing activities, and deployment processes.
- Support the implementation of secure, scalable, and well-governed cloud solutions.
- Learn and adopt emerging technologies, cloud services, and AI capabilities.
- Contribute ideas for automation, optimization, and process improvements.
- Participate in knowledge-sharing sessions and team collaboration activities.
- 2-5 years of experience in software engineering, data engineering, with a strong record in cloud-native data solutions.
- Experience working with cloud platforms, preferably AWS.
- Familiarity with AWS services such as S3, Lambda, IAM, API Gateway, or similar cloud technologies.
- Exposure to Infrastructure-as-Code tools such as Terraform or CloudFormation.
- Experience with data engineering technologies such as AWS Glue, Spark, Databricks, or equivalent.
- Proficiency in SQL for data analysis and transformation.
- Working knowledge of Python for automation and data processing.
- Familiarity with source control and CI/CD practices using tools such as GitHub Actions, Jenkins, or GitLab CI.
- Exposure to GenAI platforms such as AWS Bedrock, Azure AI, or similar technologies is a plus.
- Experience using AI productivity tools and basic prompt engineering techniques is desirable.
- Strong analytical and problem-solving skills.
- Ability to work effectively in a collaborative team environment.
- Good communication skills with the ability to work with technical and non-technical stakeholders.
- Eagerness to learn new technologies and contribute to continuous improvement initiatives.
- Bachelor's degree in Computer Science, Data Engineering, Software Engineering, Information Technology, or a related field.
- Understanding of Agile development methodologies.
- Exposure to Jira or similar project management tools.
- Knowledge of data governance, security, and cloud best practices.
- Experience working with global teams or healthcare/insurance domains is an advantage.
About The Cigna Group
Cigna Healthcare, a division of The Cigna Group, is an advocate for better health through every stage of life. We guide our customers through the health care system, empowering them with the information and insight they need to make the best choices for improving their health and vitality. Join us in driving growth and improving lives.Skills Required
- 2-5 years of experience in software engineering or data engineering, with a strong record in cloud-native data solutions
- Experience working with cloud platforms, preferably AWS
- Familiarity with AWS services such as S3, Lambda, IAM, and API Gateway, or similar cloud technologies
- Exposure to Infrastructure-as-Code tools such as Terraform or CloudFormation
- Experience with data engineering technologies such as AWS Glue, Spark, Databricks, or equivalent
- Proficiency in SQL for data analysis and transformation
- Working knowledge of Python for automation and data processing
- Familiarity with source control and CI/CD practices using GitHub Actions, Jenkins, GitLab CI, or similar tools
- Bachelor's degree in Computer Science, Data Engineering, Software Engineering, Information Technology, or a related field
- Exposure to GenAI platforms such as AWS Bedrock or Azure AI
- Experience using AI productivity tools and basic prompt engineering techniques
- Strong analytical and problem-solving skills
- Ability to work effectively in a collaborative team environment
- Good communication skills with technical and non-technical stakeholders
- Understanding of Agile development methodologies
- Exposure to Jira or similar project management tools
- Knowledge of data governance, security, and cloud best practices
- Experience working with global teams or healthcare/insurance domains
Cigna Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cigna and has not been reviewed or approved by Cigna.
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Strong & Reliable Incentives — Strong bonus outcomes are frequently highlighted, with annual bonuses described as really good alongside above-average salary levels. Stock or long-term incentive elements are also noted as part of the overall package in some roles.
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Leave & Time Off Breadth — Time-off benefits are portrayed as a meaningful part of total rewards, including generous PTO and flexibility that can enhance the perceived value of compensation. Flexible work-from-home arrangements are repeatedly linked with satisfaction about the overall package.
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Healthcare Strength — Health coverage is described as broad in design, with preventive care often covered at no charge in-network and options like virtual care and wellness incentives. A large provider network and strong digital tools are positioned as practical advantages when using benefits.
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The Company
What We Do
At Cigna, we're more than a health insurance company. We are your partner in total health and wellness. And we’re here for you 24/7 – caring for your body and mind. As a global health service company, Cigna's mission is to improve the health, well-being, and peace of mind of those we serve by making health care simple, affordable, and predictable. Our values are the core of our culture. Our values guide how all 74,000 of us around the world work together, serve our customers, patients, clients, communities, and deliver on our mission.
