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est. per hour
Data Engineering Manager
•20 days ago
| Estimated Pay | $37 per hour |
|---|---|
| Hours | Full-time, Part-time |
| Location | Metropolitan, Michigan |
Compare Pay
Estimated Pay We estimate that this job pays $37.46 per hour based on our data.
$33.49
$37.46
$63.29
About this job
Job Description
Job Description
Infomatics is partnered with a large finance company that is hiring a Data Engineering Manager on a direct/FTE basis in Detroit Michigan. It is an on-site position. All applicants must be willing & eligible to be hired directly on W2 without sponsorship. No 3rd parties need apply.
Responsibilities:
- Responsible for managing a team of data & analytics engineers focused on delivering and maintain solutions that support our company's customers and internal operations.
- Manage engineers and analytics professionals to design and deliver solutions in an Agile context.
- Management of team progression and maturity and Agile delivery and DevOps/CI-CD automation.
- Solutions analysis and design, balancing technical and business factors.
- High-level and low-level design of real time and batch system interfaces and data enrichment pipelines in a cloud-native data ecosystem. Tr
- Toubleshooting and support of data & analytics solutions end-to-end.
- Promoting and enforcing design and development standards and best practices.
- Mid-level business partner engagement; management of relationship and inter-group planning among technology leadership/peers.
- Vendor management for service and software delivery.
- Management of team capacity, talent, learning & growth, and financials.
Background & Experience Required
- Bachelor's degree in Computer Science, Information Systems, or other relevant field of study.
- 5+ years of data engineering and data analysis experience.
- Must have experience building Data Warehouse based on DV-2 Data Vaulting model.
- Experience related to data warehousing design and development
- Strong knowledge and experience with one or more SDLC methodologies and/or principles such as Agile Scrum or Kanban, or other related Agile methods
- Strong knowledge of DevSecOps pipeline creation, maturity, and operations
- Experience leading, mentoring and managing individual contributors
- Strong requirements gathering and design abilities.
- Strong analytic and problem-solving skills
- Strong verbal and written communication skills Ability to multi-task and manage through complexity
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