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Manager Databricks Data Engineer Jobs in Michigan

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

... ingest, store, manage and stream massive amounts of data while simplifying its analysis and ... using Databricks Intelligent Platform is a plus. • First product development experience with ...

Sr. Data Engineer - Lansing, MI

Lansing, MI · On-site

$116K - $139K/yr

The ideal candidate will have strong experience in Databricks, AWS, Python/Scala, Oracle, and ... Implement and manage Elasticsearch and Kibana for data indexing, search, and visualization * Ensure ...

Data Engineer - Supply Chain

Auburn Hills, MI · On-site

$108K - $130K/yr

Hands-on experience with modern data platforms such as Databricks, Spark, Snowflake, or equivalent ... Knowledge of data governance, metadata management, and lineage tools * Experience supporting BI or ...

Principal Data Engineer

Ann Arbor, MI · On-site +1

$170K - $210K/yr

... management * Ensure data systems work reliably in production - instrumented, observable, and ... Background working with visualization tools connected to Databricks (Databricks Dashboards, Tableau ...

Principal Data Engineer

Ann Arbor, MI · On-site

$170K - $210K/yr

... management * Ensure data systems work reliably in production -- instrumented, observable, and ... Background working with visualization tools connected to Databricks (Databricks Dashboards, Tableau ...

ICT Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Data engineering is the practice of making the appropriate data available to various data consumers ... Snowflake, Databricks AWS, Azure, GCP). * Strong communication and stakeholder engagement skills.

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Design and build a best-in-class robust scalable data platform that can ingest, store, manage and ... Databricks Intelligent Platform is a plus. * First experience in developing optimizing AWS data ...

... data into actionable insights. They are seeking an Azure Databricks Engineer to contribute to ... program management, and software services. Founded in 1981, the company is headquartered in ...

Experience with Databricks (Delta Lake, Notebooks, SQL Analytics) * Experience with Kubernetes ... Pod Management) * Experience with DevOps, CI/CD, Deployment Orchestration (Octopus Deploy)

Experience with Databricks (Delta Lake, Notebooks, SQL Analytics) * Experience with Kubernetes ... Pod Management) * Experience with DevOps, CI/CD, Deployment Orchestration (Octopus Deploy)

Experience with Databricks (Delta Lake, Notebooks, SQL Analytics) * Experience with Kubernetes ... Pod Management) * Experience with DevOps, CI/CD, Deployment Orchestration (Octopus Deploy)

Experience with Databricks (Delta Lake, Notebooks, SQL Analytics) * Experience with Kubernetes ... Pod Management) * Experience with DevOps, CI/CD, Deployment Orchestration (Octopus Deploy)

Experience with Databricks (Delta Lake, Notebooks, SQL Analytics) * Experience with Kubernetes ... Pod Management) * Experience with DevOps, CI/CD, Deployment Orchestration (Octopus Deploy)

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Manager Databricks Data Engineer information

What is the difference between Manager Databricks Data Engineer vs Data Engineer?

AspectManager Databricks Data EngineerData Engineer
Primary FocusTeam leadership, project management, strategic planningData pipeline development, data modeling, ETL processes
Required SkillsLeadership, Databricks platform knowledge, data architectureSQL, Spark, Python, cloud platforms
CertificationsDatabricks certifications, leadership credentialsDatabricks certifications, technical skills
Work EnvironmentManagement, cross-team collaboration, strategic oversightHands-on data processing, coding, pipeline implementation

The Manager Databricks Data Engineer oversees data engineering teams and manages projects on the Databricks platform, focusing on strategy and leadership. In contrast, a Data Engineer primarily handles technical tasks like building data pipelines and coding. Both roles require Databricks platform knowledge and relevant certifications, but the managerial role emphasizes leadership and project management, while the Data Engineer role is more technical and execution-focused.

What are the most commonly searched types of Databricks Data Engineer jobs in Michigan? The most popular types of Databricks Data Engineer jobs in Michigan are:
What are popular job titles related to Manager Databricks Data Engineer jobs in Michigan? For Manager Databricks Data Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Manager Databricks Data Engineer jobs in Michigan look for? The top searched job categories for Manager Databricks Data Engineer jobs in Michigan are:
What cities in Michigan are hiring for Manager Databricks Data Engineer jobs? Cities in Michigan with the most Manager Databricks Data Engineer job openings:
Infographic showing various Manager Databricks Data Engineer job openings in Michigan as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
GenAI Python Systems Engineer -Senior Manager

GenAI Python Systems Engineer -Senior Manager

Pwc

Detroit, MI • On-site

$124K - $280K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 11 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 75 frontline employees who took The Breakroom Quiz

21st of 58 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Manager

Job Description & Summary

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation.
Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
Craft and convey clear, impactful and engaging messages that tell a holistic story.
Apply systems thinking to identify underlying problems and/or opportunities.
Validate outcomes with clients, share alternative perspectives, and act on client feedback.
Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations.
Deepen and evolve your expertise with a focus on staying relevant.
Initiate open and honest coaching conversations at all levels.
Make difficult decisions and take action to resolve issues hindering team effectiveness.
Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
As part of the Data and Analytics Engineering team you lead the design and implementation of thorough data architecture strategies. As a Director, you drive thought leadership, promote technological advances, and create an environment where people and technology thrive together. This role involves collaborating with business stakeholders to translate data requirements into technical solutions and safeguarding data architecture compliance with governance and security policies.
Responsibilities
- Lead the creation and execution of data architecture strategies
- Drive innovation and thought leadership in data solutions
- Collaborate with stakeholders to align technical solutions with business needs
- Maintain compliance with data governance and security protocols
- Promote an environment where technology and people excel together
- Translate complex data requirements into actionable technical plans
- Oversee the implementation of advanced data technologies
- Facilitate cross-functional collaboration to enhance data architecture
What You Must Have
- Bachelor's Degree
- 8 years of experience
What Sets You Apart
- Certification in Cloud Platforms [e.g., AWS Certified Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Certified: Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus
- Proficient in Python and structured/unstructured data
- Proficient in SQL and relational databases
- Writing and maintaining FastAPI endpoints for applications
- Understanding AI techniques enhancing LLMs
- Experience in prompt engineering for LLM outputs
- Developing scalable data storage solutions using cloud services
- Designing and managing data warehouses and data lakes
- Implementing IAM roles and policies for cloud platforms

Travel Requirements

Up to 80%

Job Posting End Date

The salary range for this position is: $124,000 - $280,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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