Data Engineering Leader

Position Summary

The Data Engineering Leader guides a team of data engineers in designing, developing, and maintaining ETL processes, databases, and data storage solutions that support key business operations.

This position will be 2 days onsite. Candidates must be local to the Minneapolis-St. Paul Metropolitan area. Candidates must also be eligible to work in the U.S. without sponsorship both now and in the future.

Compensation & Benefits

• Salary Range: Target range is up to 150,000 with additional flexibility for individuals with a high level of management experience.


• Benefits Include: Medical, Dental, Vision, 401(k), Life and AD&D Insurance, Short/Long-Term Disability, PTO, and more.

Key Responsibilities

• Lead, mentor, and support the professional growth of direct reports


• Establish and uphold high standards for development and production support


• Set goals, delegate tasks, and monitor team performance


• Contribute to the design and architecture of enterprise data systems


• Develop and maintain data pipelines for both relational and NoSQL databases


• Support the company's data analytics and cloud strategy initiatives


• Help integrate traditional data systems with modern cloud-based architectures


• Evaluate and implement new tools and technologies


• Participate in on-call rotation and provide production support


• Create clear, concise documentation for systems and processes


• Assist in performance tuning and optimization of existing workflows


• Translate business requirements into technical solutions through effective communication


• Collaborate effectively within a team-oriented environment

Leadership Duties

• Directly supervises Data Engineers and Automation Engineers


• Responsible for hiring, performance management, and professional development of team members.

Qualifications

Education & Experience

• Associate degree or equivalent in a business or technical field preferred


• 5+ years of experience with SQL Server and ETL development


• 2-3 years of experience with Azure Data Factory


• 1-2 years of leadership or supervisory experience


• 1-2 years of experience with Snowflake, Databricks, and Python


• 2-3 years of experience in data architecture or similar design roles


• Experience with NoSQL and Data Lake technologies preferred


• Familiarity with orchestration and RPA tools is a plus


• Financial industry experience is a plus

Skills

• Strong problem-solving and troubleshooting abilities


• Proficiency in Microsoft Office Suite


• Deep understanding of SQL Server development and relational database concepts


• Excellent written and verbal communication skills

All qualified applicants will receive consideration for employment without regard to race, color, national origin, age, ancestry, religion, sex, sexual orientation, gender identity, gender expression, marital status, disability, medical condition, genetic information, pregnancy, or military or veteran status. We consider all qualified applicants, including those with criminal histories, in a manner consistent with state and local laws, including the California Fair Chance Act, City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, and Los Angeles County Fair Chance Ordinance. For unincorporated Los Angeles county, to the extent our customers require a background check for certain positions, the Company faces a significant risk to its business operations and business reputation unless a review of criminal history is conducted for those specific job positions.