Senior Data Platform & GenAI Engineer (Hybrid)

Cigna Healthcare; Morris Plains (NJ); Híbrido; USD 193.000 - 204.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health benefits

401(k)

Life insurance

Paid time off

Paid holidays

Descripción de la vacante

The Cigna Group is seeking a data engineering professional to design and implement scalable data pipelines using AWS, Databricks, and Spark. You will implement governance, data models, and secure data access across healthcare datasets while leveraging Gen AI enhancements.

Hybrid work arrangement available with competitive salary and a comprehensive benefits package including medical, retirement, and PTO. Candidates should have strong SQL, PySpark, and data warehouse experience.

Formación

• Master’s degree in Computer Science, Business Analytics or related field and 3 years of experience.
• Will accept a Bachelor’s degree and 5 years of experience.
• Experience with scalable ETL pipelines, collaborative analytics workflows, and production‑grade data solutions using PySpark.
• 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 and 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 ingestion, transformation, and quality assurance of high‑volume data.

Responsabilidades

• 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.

Conocimientos

PySpark

ETL pipelines

AWS S3

SQL queries

Data modeling

Big data pipelines

Educación

Master’s degree in Computer Science/Business Analytics or related field

Bachelor’s degree with 5 years of experience

Herramientas

Databricks

Airflow

Snowflake

Redshift

DynamoDB

Elasticsearch

RDS

Descripción del empleo

The Cigna Group is seeking a data engineering professional to design and implement scalable data pipelines using AWS, Databricks, and Spark. You will implement governance, data models, and secure data access across healthcare datasets while leveraging Gen AI enhancements.

Hybrid work arrangement available with competitive salary and a comprehensive benefits package including medical, retirement, and PTO. Candidates should have strong SQL, PySpark, and data warehouse experience.