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Mid Level Data Engineer Consultant Jobs in Michigan

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

The Customer Data Platform team is seeking a Data Engineer to help build and maintain trusted data products that power marketing performance, customer analytics, and advanced decisioning. This role ...

Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

As a Data Engineer on the Wrangling and Visualization Migration Team, you will communicate and ... FastTek Global is financially strong, privately held company that is 100% consultant and client ...

Design Engineer - Mid Level

Hudson, MI · On-site

$73K - $117K/yr

Mid-level design engineer with core responsibilities including product and system design and development. The focus will be mechanical system design using CAD and structural analysis (FEA), supported ...

Data Engineer

Auburn Hills, MI

$108K - $130K/yr

The Customer Data Platform team is seeking a Data Engineer to help build and maintain trusted data products that power marketing performance, customer analytics, and advanced decisioning. This role ...

Data Engineer

Lansing, MI · On-site

$116K - $139K/yr

Data Engineer Location: Lansing, MI (Need only locals, F2F is must) Rate: Market Duration ... years using CMM/CMMI Level 3 methods and practices. 5+ years implemented agile development ...

We are seeking a mid-level architect or engineer to join our team, a role that offers the ... Ideal candidates will have prior experience at an engineering, architecture, or consulting firm and ...

GCP Data Engineer Location : Dearborn, Michigan (Onsite) Term : C2C/W2 role Exp : 10+ Yrs : Basic ... The company specializes in Business and Management Consulting, AI/ML, Data Analytics ...

Google Cloud Platform Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Stefanini is looking for a Google Cloud Platform Data Engineer, Dearborn, MI For quick apply ... Stefanini is a CMM level 5, IT consulting company with a global presence. We are a CMM Level 5 ...

Google Cloud Platform Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Stefanini is looking for a Google Cloud Platform Data Engineer, Dearborn, MI For quick apply ... Stefanini is a CMM level 5, IT consulting company with a global presence. We are a CMM Level 5 ...

Data Engineer

Warren, MI · On-site

$45 - $50/hr

As a Data Engineer, you will build industrialized data assets and data pipelines in support of ... Create high-level models that can be leveraged in future analysis to extend and mature the business ...

Data Engineer

Warren, MI · On-site

$45 - $50/hr

As a Data Engineer, you will build industrialized data assets and data pipelines in support of ... Create high-level models that can be leveraged in future analysis to extend and mature the business ...

Showing results 41-60

Mid Level Data Engineer Consultant information

What are the most commonly searched types of Data Engineer Consultant jobs in Michigan?

The most popular types of Data Engineer Consultant jobs in Michigan are:

What cities in Michigan are hiring for Mid Level Data Engineer Consultant jobs?

Cities in Michigan with the most Mid Level Data Engineer Consultant job openings:

Data Engineer

Stellantis

Auburn Hills, MI • On-site

$108K - $130K/yr

Full-time

Re-posted 20 days ago


Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

15th of 45 rated automakers


Job description

Role intent:
A hands-on individual contributor role focused on building and maintaining reliable data pipelines, curated datasets, and governed analytics-ready data products.
Position Summary:
The Customer Data Platform team is seeking a Data Engineer to help build and maintain trusted data products that power marketing performance, customer analytics, and advanced decisioning.
This role will work closely with data scientists, analysts, and business stakeholders to develop scalable data pipelines, support analytics initiatives, and ensure the availability of high-quality data across the organization.
The ideal candidate is a hands-on data engineering professional with strong technical skills, a passion for data quality, and experience developing data solutions in a modern cloud environment.
Key Responsibilities:
Data Engineering & Pipeline Development:
  • Design, build, and maintain secure, scalable data pipelines that support reporting, analytics, and machine learning initiatives
  • Develop and optimize ETL/ELT processes to ingest, transform, and deliver data from multiple sources
  • Support data integration efforts across customer, marketing, digital, and enterprise data domains
  • Implement data quality checks, validation processes, and monitoring solutions to ensure trusted data products
  • Troubleshoot and resolve data pipeline and data quality issues in production environments

Data Modeling & Analytics Enablement:
  • Build and maintain scalable data models that support analytics and reporting requirements
  • Develop curated datasets that enable consistent business metrics and KPI reporting
  • Collaborate with analysts and data scientists to support advanced analytics, audience development, customer insights, and performance measurement
  • Assist in implementing data structures that improve usability, consistency, and reusability across teams

Collaboration & Delivery:
  • Partner with business stakeholders to understand requirements and translate them into technical solutions
  • Work closely with cross-functional teams to deliver reliable and scalable data products
  • Participate in code reviews, testing, deployment activities, and continuous improvement initiatives
  • Contribute to documentation, knowledge sharing, and engineering best practices

Data Governance & Reliability:
  • Follow established standards for data governance, security, privacy, and compliance
  • Monitor pipeline performance and recommend opportunities for optimization
  • Support efforts to improve data quality, reliability, and operational efficiency
  • Maintain documentation for data pipelines, data models, and technical processes

Basic Qualifications:
  • Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or a related field
  • 8 years of experience in data engineering
  • Strong SQL development skills
  • Experience developing and supporting ETL/ELT pipelines
  • Experience working with cloud-based data platforms and modern data architectures (e.g., Azure, Snowflake, BigQuery, AWS)
  • Proficiency in Python, Spark, or similar data processing technologies
  • Experience working with structured and semi-structured data
  • Understanding of data modeling concepts, including dimensional modeling and data warehousing principles
  • Strong analytical and problem-solving skills
  • Ability to collaborate effectively with both technical and business stakeholders

Preferred Qualifications:
  • Experience supporting marketing, customer, digital, or analytics use cases
  • Experience with orchestration and workflow automation tools
  • Familiarity with customer data platforms, customer analytics, or audience management solutions
  • Experience with machine learning data preparation and feature engineering
  • Understanding of data governance and data quality best practices

What Stellantis employees say

Pay

Benefits

Hours and flexibility

Workplace

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