Software Engineering Advisor – Data Engineer - Hybrid

Cigna Group • Bloomfield, CT

4h • Hybrid

About The Position

Join our Data Platform and Analytics Services (DPaAS) team within Finance IT and help shape the future of enterprise data. In this role, you will design and support modern data platforms in AWS and Databricks, enabling faster, more reliable insights for business teams. If you enjoy solving complex data problems, improving data quality at scale, and building high-impact solutions, this is a great opportunity to make a measurable difference.

Requirements

• 5+ years of experience in data engineering, software engineering, or related field
• Strong hands-on expertise in SQL and Python for data processing and analysis
• Proven experience designing and supporting data pipelines in AWS environments (S3, EC2, Glue, Redshift, Aurora)
• Experience with Databricks for data engineering and SQL analytics
• Solid understanding of data warehousing concepts, dimensional modeling, and relational databases
• Experience with workflow orchestration tools such as Airflow (DAGs, scheduling, operators)
• Proficiency with version control systems (GitLab, GitHub) and CI/CD best practices
• Strong problem-solving skills with the ability to troubleshoot complex data issues in production environments
• Ability to communicate clearly with both technical and non-technical stakeholders

Nice To Haves

• Experience working with REST APIs and tools such as Postman
• Familiarity with BI tools such as Tableau or ThoughtSpot, including troubleshooting data issues tied to Redshift
• Experience automating workflows and improving operational efficiency in data environments
• Exposure to Agile methodologies and DevOps principles in a production setting
• Bachelor’s degree in Computer Science, Engineering, or a related field

Responsibilities

• Design and deliver scalable data pipelines in AWS and Databricks that drive reliable, production-ready data solutions
• Proactively monitor, troubleshoot, and resolve data pipeline issues to ensure consistent system performance and data integrity
• Triage and resolve incidents based on business impact, ensuring timely and effective issue resolution
• Partner with business stakeholders to investigate and explain data discrepancies, improving trust in data assets
• Develop ad hoc analyses and reports using SQL and Python to support critical business decisions
• Automate manual processes to improve efficiency, reduce errors, and accelerate delivery timelines
• Collaborate across engineering, platform, and product teams to manage dependencies and resolve service issues
• Deliver solutions within an Agile (Kanban/DevOps) environment, contributing to continuous improvement and faster delivery cycles

Benefits

• medical
• vision
• dental
• well-being and behavioral health programs
• 401(k)
• company paid life insurance
• tuition reimbursement
• a minimum of 18 days of paid time off per year
• paid holidays
• annual bonus plan

What This Job Offers

• Job Type: Full-time
• Career Level: Senior