Software Engineering Advisors- Hybrid

The job profile for this position is Software Engineering Advisor, which is a Band 4 Senior Contributor Career Track Role.

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Cigna-Evernorth Services Inc. seeks Software Engineering Advisors for the Plano, TX location to build and maintain scalable data pipelines in Databricks to deliver high-quality, timely data for client deliverables.

Responsibilities:

• Design and implement modular ETL workflows using PySpark for data ingestion, cleansing, transformation and optimizing large volumes of structured medical data.

• Monitor production jobs and provide operational support to troubleshoot data failures, ensuring system reliability and business continuity.

• Participate in the delivery of enterprise-level data solutions that support strategic decision-making via analytics and reporting.

• Serve as subject matter expert for critical information Management assignments, collaborating with stakeholders across departments.

• Design and develop consolidated conformed enterprise data warehouse and data lake to store critical data across Customer, Provider, Claims, Client, and Benefits data.

• Analyze data to extract actionable insights, improve data usability, and ensure alignment with client-specific reporting and business requirements.

• Optimize data models and transformation logic to enhance data accuracy and relevance for downstream analytics.

• Apply statistical techniques and domain knowledge to interpret healthcare accurately, ensuring its relevance and usability for business teams and leadership.

• Develop and manage CI/CD pipelines using tools like GitHub Actions to automate code integration, testing, deployment and release management for data workflows.

• Ensure data compliance with healthcare regulations, including HIPAA and PHI handling guidelines, during all stages of data processing.

• Translate business requirements into technical solutions by understanding and visualizing complex data flows.

• Aligning outcomes with client goals.

• Hybrid work schedule.

Qualifications:

• Master’s degree in Data Science, Computer Science or closely related field and 3 years of experience designing ETL pipelines. Will accept a Bachelor’s degree and 7 years of experience.

• Must have experience with:

• Designing and developing robust ETL pipelines using PySpark, Scala, SQL, and Shell scripting

• PostgreSQL, MySQL, or SQL Server

• Cassandra

• Snowflake

• Using multiple file formats in data pipelines, including Parquet, CSV, and ORC

• Big Data technologies such as Hadoop, Hive, Spark, or Kafka

• AWS tools such as Glue, IAM, EC2, EMR, RDS, S3, Athena, Step Functions, or Lambda

• Data mapping, validation, and modeling

• Building and maintaining CI/CD pipelines using GitHub or GitLab

• Reporting and BI tools such as Tableau or Power BI

• Working with Delta tables in Databricks

• RabbitMQ for queuing high-speed sensor data

• Natural Language Processing (NLP) techniques

• DevOps tools such as Terraform, Git, and Jira

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.

Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws.

Please note that you must meet our posting guidelines to be eligible for consideration.  Policy can be reviewed at this link.

Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances.