W2 Lead Data Engineer

Overview

Hybrid
Depends on Experience
Contract - W2
Contract - 12 Month(s)
No Travel Required
Unable to Provide Sponsorship

Skills

Alteryx
Python
Workflow
Tableau
ETL
Airflow

Job Details

Role: Lead Data Engineer

Location: Pennington, NJ ( 3 Days onsite 2 days remote)

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

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.