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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineering Advisor - Data Engineer - Hybrid - **Company:** Cigna - **Location:** Bloomington, MN, United States (Remote available) - **Experience:** Expert - **Salary:** $111,700.0 - $186,100.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Airflow, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Directed Acyclic Graph (Directed Graphs), Information Engineering, Data Infrastructure, Data Integrity, Data Systems, Data Warehousing, Relational Databases, DevOps, Digital Assets, Dimensional Modeling, Github, Internet Service Provider, Python (Programming Language), Software Engineering, SQL Databases, Tableau (Software), Postman, Gitlab, Information Technology, Restful APIs, Software Version Control, Data Pipelines, Databricks - **Published:** May 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=281daf9216f9080a ## About the Role Do you have experience in Version control?, * 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 Preferred Qualifications * 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 What Sets You Apart * You take ownership and consistently deliver high-quality solutions on time * You thrive in fast-paced, collaborative environments and embrace continuous learning * You bring a proactive mindset, identifying opportunities to improve systems and processes before issues arise * You balance technical depth with business understanding to deliver meaningful outcomes If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload. ## Description * 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 ## Related Videos - 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