Senior Software Engineering Advisor

The Cigna Group

Senior Data Engineer building Databricks data platforms for Cigna’s healthcare businesses. Developing Spark pipelines, cloud data solutions, and reliable production systems.

Posted 8/19/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $130,200 - $217,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and maintaining scalable ETL/ELT processes using Spark and PySpark, along with strong SQL skills for data manipulation and reporting. Proficient in leveraging cloud services and DevOps tools to enhance data solutions and support data warehouse and data lake architectures.

Highest-signal resume keywords

Spark DevelopmentPySpark DevelopmentTeradata SQLDatabricksDevOps Tools

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

ETL ProcessesSQLData ModelingData Pipeline DevelopmentShell ScriptingData Warehouse SolutionsData Lake SolutionsAgile MethodologiesProblem-SolvingTroubleshooting

Soft Skills

CommunicationCollaborationIndependenceTime Management

Tools & Technologies

DatabricksGitJenkinsArtifactoryAWSUnix/LinuxJiraConfluence

Industry Keywords

Healthcare IndustryData QualityData PerformanceData Reliability

Tech Stack

Tools & technologies

AWSCloudEC2ETLJenkinsLinuxPySparkShell ScriptingSparkSQLUnix

About the role

Key responsibilities & impact

Partner with business and technical leaders to understand data and reporting needs
Design and document data solutions meeting business requirements
Develop and maintain scalable ETL/ELT processes using Spark and PySpark
Build and support data models for business and analytical needs
Write and optimize Teradata SQL, Hive SQL, and Spark SQL queries and stored procedures
Develop and maintain data pipelines in Databricks and cloud environments
Create and support DevOps deployment processes using Git, Jenkins, and Artifactory
Build and manage Databricks job scheduling and orchestration processes
Monitor production jobs, troubleshoot issues, and implement solutions
Support Databricks data warehouse and data lake solutions
Participate in Agile ceremonies including sprint planning, backlog refinement, daily standups, demos, and retrospectives
Collaborate with team members to improve data quality, performance, and reliability

Requirements

What you’ll need

Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent work experience
Strong experience developing with Spark, PySpark, Teradata, and Databricks
Experience with Ab Initio
Strong SQL skills, including Teradata SQL, Hive SQL, Spark SQL, and stored procedures
Experience implementing and supporting data warehouse and data lake solutions
Experience with DevOps tools such as Git, Jenkins, and Artifactory
Knowledge of Unix/Linux environments and shell scripting
Experience with AWS services including S3, EC2, SNS, SQS, Lambda, ECS, Glue, IAM, and CloudWatch
Experience with Databricks features such as Delta Lake, Notebooks, Pipelines, Cluster Management, and cloud integrations
Experience using Jira and Confluence
Experience working in Agile development environments
Strong problem-solving, troubleshooting, and communication skills
Experience in the healthcare industry preferred
Experience leading technical solutions and driving complex data initiatives preferred
Ability to work independently and manage multiple priorities in a fast-paced environment preferred
Home internet through cable broadband or fiber optic service with speeds of at least 10Mbps download/5Mbps upload

Benefits

Comp & perks

Annual bonus plan eligibility
Medical, vision, and dental benefits starting on day one
Well-being and behavioral health programs
401(k)
Company-paid life insurance
Tuition reimbursement
Minimum of 18 days of paid time off per year
Paid holidays
Leaves of absence
Remote work/home working arrangement
Cable broadband or fiber optic internet service requirement with at least 10Mbps download/5Mbps upload for home working