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Lead Data Engineer

Pennington, New Jersey, United StatesHybridFull TimeLeadPosted 2 months ago

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Role summary

Enormous Enterprise LLC is seeking a Lead Data Engineer in Pennington, NJ for a 12-month contract role with hybrid work (3 days onsite, 2 days remote). The role involves leading multiple scrum teams to deliver enterprise-scale data solutions and architecture. Responsibilities include administering data preparation tools, optimizing SQL/PL-SQL, developing Python solutions, implementing CI/CD pipelines, and mentoring teams. Required qualifications include hands-on experience with workflow orchestration, data integration pipelines, task dependency tuning, OpenShift containers, Airflow, and CI/CD automation. The ideal candidate will have leadership skills for large-scale initiatives and enterprise rollouts.

Company:
Enormous Enterprise LLC
Location:
Pennington, NJ
Pay:
DOE
Posted:
April 04, 2026
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Description:
Lead Data Engineer
Location: Pennington, NJ ( 3 Days onsite 2 days remote)
Local for Local nearby Candidates
Visa: w2 with 12 months visa validity
Duration: 12 months Contract (with high possibilities of extension)
Description:

  • We are seeking an experienced and results-driven Data Technology Leader to lead enterprise-scale data initiatives.
  • This role requires strong technical expertise in data preparation, orchestration, and integration, combined with leadership skills to manage multiple scrum teams and deliver major rollouts.
  • The ideal candidate will have hands-on experience with modern data tools, workflow automation, and architecture design for large-scale projects.

Key Responsibilities:

  • Lead multiple scrum teams to deliver enterprise-level data solutions and architecture.
  • Administer and manage data preparation tools such as Alteryx, RapidMiner, and Tableau Prep.
  • Design, optimize, and tune SQL/PL-SQL queries for high performance.
  • Develop and maintain Python-based solutions for data processing and automation.
  • Implement and maintain CI/CD pipelines across multiple environments.
  • Mentor development teams on best practices for performance optimization and code quality.
  • Troubleshoot and resolve performance issues, ensuring scalability and reliability.
  • Collaborate in a shared services environment to support cross-functional initiatives.

Required Qualifications:

  • Hands-on experience with workflow orchestration for data-driven solutions.
  • Expertise in optimizing data integration pipelines using ETL tools.
  • Strong knowledge of task dependency tuning and scheduling for scalability.
  • Proficiency with OpenShift containers and containerized deployments.
  • Experience with Airflow or similar batch processing tools.
  • Solid understanding of CI/CD automation and pipeline management.
  • Ability to lead large-scale architecture initiatives and enterprise rollouts.

Desired Skills:

  • Familiarity with Operational Insights (preferred).
  • Experience in ETL automation and orchestration.
  • Strong Python programming and scripting skills.
  • Ability to mentor and guide teams in best practices.
  • Exposure to shared services environments and enterprise-level governance.

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