Sr. Manager of Data Engineering - Direct Hire Position
Location: Bloomington, MN
Compensation: Up to $160,000 annually
Work Schedule: On-site Monday through Thursday, remote on Fridays
Eligibility: Candidates must be local to the Minneapolis-St. Paul Metro area and must be eligible to work in the United States without sponsorship now and in the future.
Our customer, a leading data solutions company specializing in next-gen business analytics tools, is seeking a Sr. Manager of Data Engineering to join their team.
The Role:
As the Sr. Manager of Data Engineering, you will leverage your leadership and technical expertise to build and lead a high-performing team of data engineers. You'll be responsible for driving innovation, developing scalable data pipelines, and ensuring high productivity and reliability within the team. You will work closely with other leaders and departments to meet KPIs and deliver best-in-class data solutions.
Responsibilities:
Lead, hire, and retain top talent, fostering a culture of collaboration, innovation, and client service.
Design and develop high-performance, scalable data engineering pipelines.
Set and track team goals for integration productivity and reliability.
Build resilient, reliable, scalable, automated data solutions with appropriate monitoring and alerting mechanisms.
Provide regular feedback, coaching, and recognition to team members, promoting career growth and team development.
Oversee an on-call support rotation to ensure continuous operational success.
What We're Looking For:
Proven ability to build and lead high-performing teams.
Excellent communication skills with strong client acumen.
Knowledge of financial and operational business data.
Solution-oriented with a passion for solving problems and taking ownership of the data engineering function.
Experience in debugging, support, data analysis, with excellent problem-solving abilities.
Qualifications:
Degree in Computer Science, Data Engineering, MIS, or a related field.
5+ years of experience in data integration/engineering.
4+ years of experience leading and managing teams.
Expertise in ETL/ELT data ingestion patterns and a wide array of data sources and toolsets.
Solid understanding of data engineering design patterns, algorithms, schemas, queries, and system design.
Experience with modern software engineering tools, including Agile/SAFE, CI/CD, and DevOps.
Familiarity with Azure Cloud PaaS data services, preferably Azure Data Factory, Databricks, SQL, and Data Lake.
Significant experience working with large data systems using T-SQL and/or Python.
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. 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.
