Senior Advisor, Application Development

Cigna

Confirmed live today High trust

Hybrid

Quick summary

Work type: Hybrid
Location: Morris Plains, NJ
Salary: $193,461–$203,600 / yr
Employment: Full-time
Posted: 8 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $155k

This role $199k

$101k $215k

below market most similar roles pay here above market

This role pays more than 87% of similar roles. Most pay $133,900–$176,912 — the blue band above. At the midpoint, this role pays about $199k versus about $155k for comparable roles.

Based on 240 similar postings.

Employer

About Cigna

The Cigna Group is a global health company, rebranded in 2023, that serves over 185 million customer relationships across 30+ countries.

Cigna currently has 86 open roles on FindRole.

Listed pay typically runs $148,950–$205,800 across 32 roles with salary data.

Most-posted roles

View all roles at Cigna

At a glance

TL;DR · Senior Advisor, Application Development

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The Application Development Senior Advisor joins the team to develop real-time and batch processing data pipelines that enhance digital experiences and analytics. This role involves building production data pipelines using Spark with Scala, Python, and SQL, while implementing machine learning algorithms on Databricks and AWS. Key responsibilities include assembling complex datasets, managing GitHub repositories with CI/CD pipelines, and utilizing Generative AI tools like Cursor AI for code generation and prompt engineering. The position requires configuring Immuta for PII masking and managing data governance within the healthcare domain. Technical requirements include proficiency with AWS S3, Redshift, DynamoDB, Elasticsearch, RDS, Snowflake, and Airflow. The advisor will also design logical and physical data models, optimize query performance, and mentor junior engineers to translate business requirements into scalable data solutions.

Skills

AWS Databricks Airflow Redshift DynamoDB Elasticsearch RDS Snowflake Spark Scala Python SQL Generative AI Collibra Immuta GitHub Actions CI/CD PySpark S3 Prompt Engineering

What you'll do

Develop real-time and batch data pipelines using Spark, Scala, Python, and SQL on Databricks and AWS.
Implement machine learning algorithms and advanced analytics solutions to meet organizational business requirements.
Use Generative AI tools to automate metadata generation and ingest data into the Collibra Data Catalog via APIs.
Configure Immuta for column-level masking of PII/PHI and implement row-level security for data governance.
Lead the adoption of Gen AI-enhanced development pipelines using Cursor AI for debugging and code generation.
Manage GitHub repositories and GitHub Actions CI/CD pipelines to automate the deployment of Databricks jobs.
Design and implement logical and physical data models while maintaining enterprise-level data warehouses.
Mentor junior engineers and translate complex business requirements into scalable data solutions.

What we're looking for

Must have a Master’s degree in Computer Science, Business Analytics, or a related field and 3 years of experience.
Must have a Bachelor’s degree and 5 years of experience.
Must have experience developing and managing scalable ETL pipelines and production-grade data solutions using PySpark.
Must have experience leveraging AWS S3 for storage and integration.
Must have experience writing advanced SQL queries for data extraction, transformation, and analysis within large-scale data environments.
Must have experience designing and implementing logical and physical data models.
Must have experience orchestrating, monitoring, and optimizing big data pipelines across distributed computing frameworks.
Must have experience with AWS, Databricks, Airflow, Redshift, DynamoDB, Elasticsearch, RDS, Snowflake, and Machine Learning tools.

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