Data Engineering Manager

Overview

Seeking a technical leader to oversee enterprise data solutions, lead engineering initiatives, and deliver scalable platforms that support analytics and business operations.

Key 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

Requirements

• 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

Preferred

• Experience leading enterprise data initiatives
• Exposure to AI, advanced analytics, or business intelligence solutions
• Experience with cloud platforms and distributed data processing

Why Consider This Role

• Lead high-impact data initiatives
• Opportunity to mentor a growing technical team
• Collaborative environment with strong ownership and growth potential

Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual’s skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company’s 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products.