Skip to main content
Loading
loadingbar
Loading, Please wait..!!

Lead Data Engineer – Modernization & Reliability

  • Job type Posted on: Jun 24, 2026
  • Experience level Humana Inc
  • Employment type Brooklyn, New York
  • Remote status Salary: $195,700 per year
  • Employment type Onsite
  • Salary Full-time

Point Apply Here APPLY LATER

Curious about compensation?

Explore the historical salary trends, average pay, and estimated compensation for Lead Data Engineer – Modernization & Reliability roles in New York.

View Salary Guide →

Job Title :

Lead Data Engineer – Modernization & Reliability

Job Type :

Full-time

Job Location :

Brooklyn New York United States

Remote :

No

Jobcon Logo Job Description :

Overview The Lead Data Engineer is responsible for leading the modernization, optimization, and stabilization of the Wisconsin Medicaid Market’s data platform ecosystem across two independent health plan technology stacks. The role owns the market’s Data Warehouse and ODS, drives ETL/data movement strategy (including SSIS modernization), and improves the reliability, observability, and security posture of data pipelines supporting critical Medicaid operations. The Lead Data Engineer partners with the Market BI team as their IT counterpart to improve data access and flow, establish and manage Databricks pipeline patterns, and enable the BI environment as it evolves. Responsibilities Own and evolve the Wisconsin Medicaid Market’s data stores, data movement ecosystem, and the ETL processes that connect vendor and internal systems. Modernize and optimize the market’s data platform to improve reliability, reduce technical debt, strengthen observability/fault tolerance, and increase engineering efficiency. Serve as the primary IT partner for the Market BI team, improving data access patterns, strengthening pipeline governance, and helping establish a maintainable approach to Databricks pipelines and workflows. Direct the work of a small number of contract resources while remaining hands‑on in delivery. Guide remaining engineering work, set technical standards, and ensure alignment with enterprise direction. Team Culture & Expectations We value a positive attitude, curiosity, ownership, and a desire to learn and make a meaningful difference. This role requires collaboration, high accountability, and comfort operating in ambiguity while continuously improving data reliability, security, and outcomes for associates, members, providers, and other stakeholders. Skills & Capabilities Deep data engineering fundamentals with the ability to lead through influence and set direction. Required Skills Proven production experience with SQL Server data engineering, including warehousing patterns, operational support, performance tuning, and ETL/ELT design. Strong experience with SSIS/SSRS and Azure Data Factory (or similar orchestration) in real operating environments. Experience working across integration engines and healthcare data movement patterns, including tools such as Rhapsody / CorePoint. Demonstrated ability to modernize and optimize fragile pipelines and legacy patterns, reduce technical debt, and improve reliability, observability, and fault tolerance. Experience with Databricks and/or enterprise data platforms such as UDAP, or a strong aptitude and desire to grow into these platforms. Highly organized, self‑directed, able to drive work to outcomes in an ambiguous, rapidly changing environment; experience creating detailed technical documentation. Experience directing and reviewing contract resource work, clarifying requirements, establishing standards, reviewing deliverables, and ensuring maintainability. Familiarity with SAFe Agile practices. Preferred Skills Own the market’s data stores (Data Warehouse + ODS) and ensure stability, security, and performance. Lead modernization and optimization of the ETL ecosystem, including SSIS modernization and improved reliability/observability. Drive reduction of legacy report patterns and support transition aligned to enterprise SSRS footprint reduction efforts. Partner with Market BI as their IT counterpart to improve data access and establish/manage Databricks pipeline patterns. Define and enforce data engineering standards aligned with enterprise direction. Reduce technical debt and streamline workflows to lower operational burden on engineers and increase delivery capacity. Additional Information Work‑At‑Home Requirements: Must have a high‑speed DSL or cable modem for a home office. Associates or contractors in California receive payment for internet expense. Minimum speed 25Mbps download×10Mbps upload; satellite and wireless internet services are NOT allowed. Dedicated, uninterrupted space required to protect PHI/HIPAA information. Travel: Remotely based, occasional travel to Humana offices for training or meetings may be required. Scheduled Weekly Hours: 40 Pay Range: $142,300–$195,700 per year. Eligible for a bonus incentive plan. Benefits: Humana provides medical, dental, vision, 401(k) retirement savings, paid time off, holidays, volunteer time off, paid parental and caregiver leave, short‑term and long‑term disability, life insurance, and other benefits. Equal Opportunity Employer It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section503 of the Rehabilitation Act and VEVRAA, to employ and advance individuals with disability or protected veteran status, basing all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment. #J-18808-Ljbffr

Jobcon Logo Position Details

Posted:

Jun 24, 2026

Reference Number:

14660_B02586A1322186025429B28D7C9F21A2

Employment:

Full-time

Salary:

Not Available

City:

Brooklyn

Job Origin:

APPCAST_CPC

Share this job:

  • linkedin

Jobcon Logo
A job sourcing event
In Dallas Fort Worth
Aug 19, 2017 9am-6pm
All job seekers welcome!

Lead Data Engineer – Modernization & Reliability    Apply

Click on the below icons to share this job to Linkedin, Twitter!

Overview The Lead Data Engineer is responsible for leading the modernization, optimization, and stabilization of the Wisconsin Medicaid Market’s data platform ecosystem across two independent health plan technology stacks. The role owns the market’s Data Warehouse and ODS, drives ETL/data movement strategy (including SSIS modernization), and improves the reliability, observability, and security posture of data pipelines supporting critical Medicaid operations. The Lead Data Engineer partners with the Market BI team as their IT counterpart to improve data access and flow, establish and manage Databricks pipeline patterns, and enable the BI environment as it evolves. Responsibilities Own and evolve the Wisconsin Medicaid Market’s data stores, data movement ecosystem, and the ETL processes that connect vendor and internal systems. Modernize and optimize the market’s data platform to improve reliability, reduce technical debt, strengthen observability/fault tolerance, and increase engineering efficiency. Serve as the primary IT partner for the Market BI team, improving data access patterns, strengthening pipeline governance, and helping establish a maintainable approach to Databricks pipelines and workflows. Direct the work of a small number of contract resources while remaining hands‑on in delivery. Guide remaining engineering work, set technical standards, and ensure alignment with enterprise direction. Team Culture & Expectations We value a positive attitude, curiosity, ownership, and a desire to learn and make a meaningful difference. This role requires collaboration, high accountability, and comfort operating in ambiguity while continuously improving data reliability, security, and outcomes for associates, members, providers, and other stakeholders. Skills & Capabilities Deep data engineering fundamentals with the ability to lead through influence and set direction. Required Skills Proven production experience with SQL Server data engineering, including warehousing patterns, operational support, performance tuning, and ETL/ELT design. Strong experience with SSIS/SSRS and Azure Data Factory (or similar orchestration) in real operating environments. Experience working across integration engines and healthcare data movement patterns, including tools such as Rhapsody / CorePoint. Demonstrated ability to modernize and optimize fragile pipelines and legacy patterns, reduce technical debt, and improve reliability, observability, and fault tolerance. Experience with Databricks and/or enterprise data platforms such as UDAP, or a strong aptitude and desire to grow into these platforms. Highly organized, self‑directed, able to drive work to outcomes in an ambiguous, rapidly changing environment; experience creating detailed technical documentation. Experience directing and reviewing contract resource work, clarifying requirements, establishing standards, reviewing deliverables, and ensuring maintainability. Familiarity with SAFe Agile practices. Preferred Skills Own the market’s data stores (Data Warehouse + ODS) and ensure stability, security, and performance. Lead modernization and optimization of the ETL ecosystem, including SSIS modernization and improved reliability/observability. Drive reduction of legacy report patterns and support transition aligned to enterprise SSRS footprint reduction efforts. Partner with Market BI as their IT counterpart to improve data access and establish/manage Databricks pipeline patterns. Define and enforce data engineering standards aligned with enterprise direction. Reduce technical debt and streamline workflows to lower operational burden on engineers and increase delivery capacity. Additional Information Work‑At‑Home Requirements: Must have a high‑speed DSL or cable modem for a home office. Associates or contractors in California receive payment for internet expense. Minimum speed 25Mbps download×10Mbps upload; satellite and wireless internet services are NOT allowed. Dedicated, uninterrupted space required to protect PHI/HIPAA information. Travel: Remotely based, occasional travel to Humana offices for training or meetings may be required. Scheduled Weekly Hours: 40 Pay Range: $142,300–$195,700 per year. Eligible for a bonus incentive plan. Benefits: Humana provides medical, dental, vision, 401(k) retirement savings, paid time off, holidays, volunteer time off, paid parental and caregiver leave, short‑term and long‑term disability, life insurance, and other benefits. Equal Opportunity Employer It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section503 of the Rehabilitation Act and VEVRAA, to employ and advance individuals with disability or protected veteran status, basing all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment. #J-18808-Ljbffr

Loading
Please wait..!!