Cigna-Evernorth Services Inc.
Healthcare
SoftwareEngineeringAdvisors
Neural analysis suggests this role is
optimal for Mid candidates.
“Software Engineering Advisors at Cigna-Evernorth Services Inc.. Skills: ETL pipelines, PySpark, Databricks, Big Data technologies, Cloud platforms (AWS), CI/CD, Data warehousing, Data lakes. Build and maintain scalable data pipelines in Databricks. Design and implement modular ETL workflows using PySpark”
What You'll Achieve.
Deliver high-quality, timely data for client deliverables; Ensure system reliability and business continuity; Support strategic decision-making via analytics and reporting; Improve data usability; Ensure alignment with client-specific reporting and business requirements; Enhance data accuracy and relevance for downstream analytics; Ensure relevance and usability for business teams and leadership
Industry & Context.
Troubleshoot data failures; Analyze data to extract actionable insights
Hybrid work schedule
What They're Looking For.
Must Have
Master’s degree in Data Science, Computer Science or closely related field and 3 years of experience designing ETL pipelines, 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
What You'll Do.
Build and maintain scalable data pipelines in Databricks
Design and implement modular ETL workflows using PySpark
Monitor production jobs and provide operational support
Participate in the delivery of enterprise-level data solutions
Design and develop consolidated conformed enterprise data warehouse and data lake
Analyze data to extract actionable insights
Optimize data models and transformation logic
Develop and manage CI/CD pipelines using tools like GitHub Actions
Ensure data compliance with healthcare regulations
How You'll Work.
Team & Collaboration
Collaborating with stakeholders across departments
Full Job Description
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 E
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