Data Engineering Manager: Lead Scalable Data Pipelines

Vaco

Jersey City (NJ)

On-site

USD 115,000 - 145,000

Full time

14 days+

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Benefits offered by this job

Opportunity to mentor a growing technical team
Collaborative environment
Strong ownership and growth potential

Job summary

Vaco in Jersey City is seeking a Data Engineering Manager to lead enterprise data solutions and engineering initiatives. This role requires a technical leader to build and optimize scalable platforms for analytics and business operations.

The ideal candidate will have over 6 years of data engineering experience and strong proficiency in SQL and Python, alongside the ability to mentor a growing team. The company offers competitive compensation and benefits including medical, dental, vision, and a 401(k) retirement plan.

Qualifications

  • 6+ years of data engineering or data platform experience.
  • 2+ years of technical leadership or project management experience.
  • Strong experience with data integration, modeling, and automation.
  • Proficiency with SQL, Python, and modern cloud-based data environments.
  • Strong communication, leadership, and problem-solving skills.

Responsibilities

  • Lead data engineering projects from design through implementation.
  • Build and optimize scalable data pipelines and reporting solutions.
  • Mentor technical team members and promote development best practices.
  • Partner with business stakeholders to deliver data-driven solutions.
  • Improve automation, data quality, and operational efficiency.
  • Maintain technical documentation, governance, and standards.

Skills

Data integration
Data modeling
Automation
SQL
Python
Technical leadership
Problem-solving
Communication

Job description

Vaco in Jersey City is seeking a Data Engineering Manager to lead enterprise data solutions and engineering initiatives. This role requires a technical leader to build and optimize scalable platforms for analytics and business operations.

The ideal candidate will have over 6 years of data engineering experience and strong proficiency in SQL and Python, alongside the ability to mentor a growing team. The company offers competitive compensation and benefits including medical, dental, vision, and a 401(k) retirement plan.

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