Data Engineering Manager

**This is a direct‑hire role with our client in Minneapolis, MN, working in a hybrid setup. Candidates must be authorized to work in the U.S. without sponsorship.**

This is an exciting leadership opportunity to shape the data strategy and execution for a fast-growing organization. You’ll lead a team of 17 data engineers, drive technical innovation, and implement modern, scalable solutions in Python, SQL, DBT, Snowflake, and cutting-edge ETL tools.

The role combines hands-on delivery, strategic influence, and team leadership — offering real visibility and impact across the business, including initiatives leveraging AI-driven workflows and cloud-based processes. If you thrive at the intersection of technology, people leadership, and process improvement, this role is for you.

Responsibilities

• Lead, mentor, and develop a high-performing data engineering team, including HR responsibilities such as performance management and PTO reviews.

• Oversee and participate in hands-on development and technical delivery of data solutions.

• Design, implement, and optimize data pipelines using Python, SQL, DBT, Snowflake, and modern ETL tools (Apache NiFi, Openflow).

  Champion the adoption of AI/ML tools and cloud-based code review/deployment processes.

• Collaborate closely with business and technical stakeholders to deliver scalable, reliable, and innovative data solutions.

• Drive process improvements, team learning, and adoption of best practices across the data engineering organization.

Qualifications

• Strong hands-on experience with Python and SQL.

• Proven experience leading medium-to-large technical teams (ideally 10–20+ engineers).

• Deep expertise in Snowflake and DBT.

• Familiarity with modern ETL frameworks such as Apache NiFi or Openflow.

• Ability to work onsite in Minneapolis.

Preferred Skills

• Experience with AI/ML integration in data workflows

• Familiarity with cloud-based code review and deployment processes

• Consulting mindset and ability to drive process change

• Experience in financial services, private equity, or regulated industries 

Our Vetting Process

At Emergent Staffing, we work hard to find the software engineers who are the right fit for our clients. Here are the steps of our vetting process for this position:

1. Application (5 minutes)

2. Online Assessment (40-60 minutes)

3. Initial Video Interview (30-45 minutes)

4. Client Interviews

5. Job Offer!

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