Cigna Evernorth Services Inc logo

Application Development Senior Advisor

Cigna Evernorth Services Inc

Morris Plains, NJ · HybridFull-time$193–204K/yrSeen 1 day agoSeen in employer's feed 1 day ago

Most applications go out cold — see where you stand first. No sign-up to start.

Watch jobs like this.

Don't just apply. Show up ready.

Olive works from this exact posting.

At a glance

Compensation
$193–204K/yr
Location
Morris Plains, NJHybrid
Schedule
Full-time
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

The Application Development Senior Advisor develops real-time and batch data pipelines and analytics solutions for Cigna’s digital experiences. The role uses cloud, data engineering, and machine learning tools, supports data governance and access controls in healthcare, and leads adoption of AI-enhanced development workflows. It also collaborates with stakeholders and mentors junior engineers. The schedule is hybrid.

Skills & qualifications

RequiredNice to have

Skills

Scalable ETL PipelinesCollaborative Analytics WorkflowsPySparkAWS S3Advanced SQLData ModelingSchema DesignData WarehousingETL ProcessesBig Data OrchestrationPipeline MonitoringPipeline OptimizationQuery Performance OptimizationExecution Plan AnalysisResource Allocation

Qualifications

Master's in Computer Science, Business Analytics or Related Field or Bachelor's+5 Years3 Years of Experience

Full job description

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.

https://jobs.thecignagroup.com/us/en/benefits

Apply online at https://jobs.thecignagroup.com under req 26012988

Place of Work

Hybrid

Requisition ID

26012988

Job Type

Full Time

How this job compares

Set against the 2,684 open Data Engineering jobs on Olive Jobs, counted October 28, 2026.

Pay
  • This posting$193–204K/yr
  • New Jersey median$126–214K/yr76 salary ranges
  • US median$124–214K/yr2,171 salary ranges

This range's midpoint, $199K, is 12% above the New Jersey median midpoint ($178K) — in the middle half of Data Engineering salary ranges in New Jersey.

Openings
Olive Jobs lists 81 open Data Engineering jobs in New Jersey and 2,684 across the US. 8% of them nationwide are listed as remote or flexible.
Hiring the most in New Jersey
Experience
This posting asks for at least 3 years of experience — less than three in four Data Engineering postings that state a minimum ask for (median 5 years, across 2,337 postings).
Education
1,091 of the 2,684 open Data Engineering jobs (41%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on October 28, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

Similar jobs, posted recently

Open roles like this one, listed in the last 30 days.

You've read the whole posting — now see how you match it.