ZipRecruiter

Log In

1

Data Engineer Jobs in Detroit, MI (NOW HIRING)

Reply

Data Engineer

Detroit, MI · On-site

$130K - $150K/yr

We are seeking a Data Engineer to design, build, and optimize modern data platforms for our clients using Microsoft Azure, Microsoft Fabric, Power BI, and Databricks. This role is ideal for someone ...

HTC Global Services

Data Engineer III

Dearborn, MI · On-site

$105K - $126K/yr

Data Engineer III Overview / Summary We are seeking a Data Engineer III to design, build, and maintain scalable data solutions, including data infrastructure, pipelines, platforms, and applications ...

HTC Global Services Inc

Data Engineer III

Dearborn, MI · On-site

$105K - $126K/yr

Data Engineer III Overview / Summary We are seeking a Data Engineer III to design, build, and maintain scalable data solutions, including data infrastructure, pipelines, platforms, and applications ...

HTC Global Services Inc

Data Engineer III

Dearborn, MI · Hybrid

$105K - $126K/yr

Data Engineer III Overview / Summary We are seeking a Data Engineer III to design, build, and maintain scalable data solutions, including data infrastructure, pipelines, platforms, and applications ...

Contact Government Services, LLC

Data Engineer

Detroit, MI

$113K - $136K/yr

Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business ...

FastTek

Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Data Engineer #1059594 * As a Data Engineer on the Wrangling and Visualization Migration Team, you will communicate and collaborate with developers, architects, product managers, and feature teams to ...

General Motors

Staff Data Engineer

Warren, MI · Hybrid

$107K - $129K/yr

Data engineers at GM are expected to build and maintain reliable, scalable data infrastructure, transform raw data into high-quality datasets for analytics and advanced data science use cases, and ...

Contact Government Services, LLC

Data Engineer

Detroit, MI · On-site

$112K - $152K/yr

Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business ...

IntraEdge

AI Data Engineer

Detroit, MI

$113K - $136K/yr

This role requires strong expertise in data engineering best practices and a deep understanding of the unique data needs of AI models. Key responsibilities * Build AI-ready data pipelines: Design ...

General Motors

Staff Data Engineer

Warren, MI · On-site

$107K - $129K/yr

Data engineers at GM are expected to build and maintain reliable, scalable data infrastructure, transform raw data into high-quality datasets for analytics and advanced data science use cases, and ...

Stefanini

GCP Data Engineer

Dearborn, MI

$61 - $66/hr

Stefanini is looking for GCP Data Engineer, Dearborn, MI For quick apply, please reach out to Parul Singh at 248-582- 6481/parul.singh@stefanini.com We are seeking an experienced Data Engineer to ...

Stefanini

GCP Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Stefanini is looking for GCP Data Engineer, Dearborn, MI For quick apply, please reach out to Parul Singh at 248-582-6481/parul.singh@stefanini.com We are seeking an experienced Data Engineer to play ...

Spruce Infotech

Azure Data Engineer

Ann Arbor, MI · On-site

$55 - $57/hr

Data Engineer Work Location : Ann ArborMI48105 Vendor Rate: $55 - $57/hr on W2 Contract duration: 6 Target Start Date: 07 Sep 2026 Does this position require Visa independent candidates only? Yes

HTC Global Services, Inc.

Data Engineer III

Dearborn, MI · On-site

$105K - $126K/yr

Hybrid | Job Code: 244501 Overview / Summary We are seeking a Data Engineer III to design, build, and maintain scalable data solutions, including data infrastructure, pipelines, platforms, and ...

Saanvi Technologies

Data Engineer 3

Dearborn, MI · On-site

$105K - $126K/yr

Data Engineer Dearborn, MI Hybrid 4days onsite and 1 day remote W2 Position Description: Ford Motor Company is seeking a Senior Technical Engineer to serve as a subject matter expert for the ATLAS ...

Freudenberg

Data Engineer

Plymouth, MI

$109K - $130K/yr

Degree in Computer Science, Data Engineering, or related field (or equivalent experience). * Proven experience building and running production data pipelines and data products. * Strong Python ...

Freudenberg Group

Data Engineer

Plymouth, MI · On-site

$109K - $130K/yr

Degree in Computer Science, Data Engineering, or related field (or equivalent experience). * Proven experience building and running production data pipelines and data products. * Strong Python ...

MetaRPO

Snowflake Data Engineer Lead

Detroit, MI · On-site

$104K - $125K/yr

Job Title Snowflake Data Engineer Lead Location : Michigan, USA Onsite - Locals preferred NO dont apply. We are looking for an experienced Snowflake Data Engineer / Technical Lead with mandatory ...

New

Ford Motor Company

Data Engineer

Dearborn, MI · On-site

$140K - $184K/yr

Design and build production data engineering solutions to deliver reusable patterns using Google Cloud Platform (GCP) services: Big Query, Dataflow, DataForm, Astronomer, Data Fusion, DataProc, Cloud ...

Cloud BC Labs

GCP Data Engineer

Dearborn Heights, MI · On-site

GCP Data Engineer Location : Dearborn, Michigan (Onsite) Term : C2C/W2 role Exp : 10+ Yrs : Basic Requirement: Seeking an experienced Data Engineer to design, build, and maintain our data ...

previous pagenext page

Showing results 21-40

All JobsData Engineer JobsData Engineer Jobs in Detroit, MI

Data Engineer information

See Detroit, MI salary details

$40.7K

$118.7K

$162.4K

How much do data engineer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for data engineer in Detroit, MI is $118,689.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,800.00 and $125,800.00 per year, depending on experience, location, and employer.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.
More about Data Engineer jobs

What are the most commonly searched types of Data Engineer jobs in Detroit, MI?

The most popular types of Data Engineer jobs in Detroit, MI are:

What are popular job titles related to Data Engineer jobs in Detroit, MI?

For Data Engineer jobs in Detroit, MI, the most frequently searched job titles are:

What job categories do people searching Data Engineer jobs in Detroit, MI look for?

The top searched job categories for Data Engineer jobs in Detroit, MI are:

What cities near Detroit, MI are hiring for Data Engineer jobs?

Cities near Detroit, MI with the most Data Engineer job openings:

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Detroit, MI as of September 2026, with employment types broken down into 73% Full Time, 2% Part Time, and 25% Contract. Highlights an 90% In-person, 5% Hybrid, and 5% Remote job distribution, with an average salary of $118,689 per year, or $57.1 per hour.

Data Engineer

Detroit, MI • On-site

Reply
Software Development • 11 - 50 employees
Learn more about Replyexternal

$130K - $150K/yr

Full-time

Re-posted 21 days ago

Job description

Valorem Reply is an award-winning digital transformation firm focused on delivering solutions around data-driven enterprise, IT modernization, customer experience, product transformation and digital workplace by leveraging the power of Microsoft technologies. We provide hyper-scale and agile delivery of unique digital business services, strategic business models and design-led user experiences. Our innovative strategies and solutions securely and rapidly transform the way our clients do business.
 
We are seeking a Data Engineer to design, build, and optimize modern data platforms for our clients using Microsoft Azure, Microsoft Fabric, Power BI, and Databricks. This role is ideal for someone who combines deep technical expertise with strong consulting skills - someone who can engage directly with clients, understand business needs, translate requirements into scalable technical solutions, and communicate clearly with both technical and non-technical stakeholders.
 
As a member of the team, you will contribute to solution architecture and help deliver high-quality modern data solutions that drive measurable business value. The ideal candidate is equally comfortable discussing lakehouse architecture with engineers, facilitating design sessions with client stakeholders, and presenting recommendations to leadership teams.
Responsibilities
   Work directly with clients to understand business goals, data challenges, and technical requirements
   Lead or support discovery sessions, requirements workshops, architecture discussions, and solution reviews
   Develop and optimize batch and streaming data ingestion pipelines from enterprise applications, databases, APIs, and file-based sources.
   Implement medallion/lakehouse architectures, dimensional models, and data transformation workflows to support analytics and reporting use cases
   Engineer solutions using technologies such as PySpark, Spark SQL, SQL, Python, Delta Lake, and orchestration tools within Azure and Databricks
   Recommend best practices for data modeling, governance, lineage, monitoring, DevOps, and security
Minimum Requirements
   Bachelor's degree in computer science or related field
   6+ years of experience in data engineering, data platform development, or cloud data solutions
   3+ years of hands-on experience with Azure Databricks, Apache Spark, or similar distributed data processing technologies
   Expertise with Microsoft Azure infrastructure and data resources, including Fabric, Azure Data Factory, Synapse Data Analytics, Power BI, Azure SQL, Azure Cosmos DB, and Azure Database for PostgreSQL
   Expertise with Databricks, specifically the ability to design enterprise-level strategy and architecture including Unity Catalog, data warehousing, data sharing, and Mosaic AI 
   DevOps for data, GitHub, automated testing, and working with containers (AKS, Docker, registries, etc.)
   Excellent communication skills, ability to clearly explain concepts to teammates and customers, and quickly learn new concepts and technologies
Preferred Qualifications
   Experience working directly with clients, business stakeholders, or cross-functional teams in a consulting or professional services environment.
   Experience building data agents, including NLQ, Databricks Genie, and Fabric Data Agents
   Experience with data management, including data governance, data security, master data management, and familiarity with different industry security requirements 
   Broad experience with data/reporting tools, architectures, cloud vendors, and data/AI concepts other than Microsoft
About Reply
 
Reply specializes in the design and implementation of solutions based on new communication channels and digital media. Reply is a network of highly specialized companies supporting global industrial groups operating in the telecom and media, industry and services, banking, insurance and public administration sectors in the definition and development of business models enabled for the new paradigms of AI, cloud computing, digital media and the Internet of Things. Reply services include Consulting, System Integration and Digital Services.
 
The base compensation range for this full-time position is between $130,000 - $150,000 plus benefits. Compensation decisions are supported through market data, where regional variances may exist based on cost of labor. We also take into consideration prior experience, relevant skills, education and/or training, certifications and, as applicable, other required qualifications. If you have questions regarding compensation, the talent acquisition team can provide relevant details during the interview process.
 
Reply is an equal opportunity employer. We are committed to provide equal opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you need assistance and reasonable accommodation due to a disability during the application or the recruiting process, email us at [email protected]. Visit our website at www.reply.com to learn more about our open roles.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
apply for this job

Apply