Experience Required
36 months
Minimum Education Required
Master's
Compensation
$193,461.00 - $203,600.00 / Yearly
Hours Per Week
40
Number Of Positions
1
Shift
First Shift (Day)
Job Description
Develop real-time and batch processing data pipelines to enhance Cigna's digital experiences and analytics. Develop solutions using tools in AWS, Databricks, Airflow, Redshift, DynamoDB, Elasticsearch, RDS, Snowflake, and Machine Learning tools. Develop production data pipelines using Spark with Scala, Python, SQL, and implementing machine learning algorithms on Databricks and AWS. Participate in architectural decision-making processes for data pipelines and implement advanced analytics solutions, ensuring alignment with organizational goals. Assemble large and complex data sets, ensuring that all functional and analytics business requirements are met with high quality and performance standards. Utilize Generative AI tools to automatically generate comprehensive descriptions for data tables and columns and ingest the generated metadata into the Collibra Data Catalog via APIs. Demonstrate experience in implementing data governance and access control within the Healthcare domain. Configure Immuta to enable column-level masking for PII and PHI, as well a row-level security. Lead the adoption of Gen AI-enhanced development pipelines with Cursor AI, focusing on advanced debugging, code generation, and context-aware engineering across multi-file projects. Apply expert prompt engineering techniques to improve the reliability and performance of AI-driven data workflows. Continuously test and refine prompts to achieve optimal outcomes. Manage GitHub repositories and GitHub Actions CI/CD pipelines to automate deployment of Databricks jobs and notebooks. Collaborate with stakeholders, including executive leadership, product, and engineering teams, to resolve data-related technical issues and support their data infrastructure needs. Mentor, collaborate and upskill junior engineers with translating complex business requirements into scalable data solutions to ensure team-wide technical excellence. Hybrid work schedule.
Master’s degree Computer Science, Business Analytics or related field and 3 years of experience. Will accept a Bachelor’s degree and 5 years of experience.
Must have experience with: developing and managing scalable ETL pipelines, collaborative analytics workflows, and production-grade data solutions using PySpark; leveraging AWS S3 for storage and integration; writing advanced SQL queries for data extraction, transformation, and analysis within large-scale data environments; designing and implementing logical an physical data models; applying best practices for schema design; maintaining enterprise-level data warehouses with reliable ETL processes; orchestrating, monitoring, and optimizing big data pipelines for the ingestion, transformation, and quality assurance of high-volume data across distributed computing frameworks; and, troubleshooting, optimizing query performance and execution plans, and resource allocation for large-scale datasets.
Apply online at jobs.thecignagroup.com under req 26012988
Place of Work
Hybrid
Requisition ID
26012988
Job Type
Full Time
Async overlap window Coming soon
Soon: how this job's working hours line up with yours.