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Data Engineer Jobs in Ferndale, MI (NOW HIRING)

Data Engineer

Dearborn, MI ยท On-site

$105K - $126K/yr

Role- Data Engineer Work location Dearborn, MI Ideal to be local but not required. 12 month contract. Additional Information: Resources will be in office 4 days a week. Teams Video interview 1 hour ...

Data Engineer

Detroit, MI

$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 ...

Data Engineer

Detroit, MI ยท 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 ...

Data Engineer III

Dearborn, MI ยท 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 ...

Data Engineer

Dearborn, MI

$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 ...

Staff Data Engineer

Warren, MI ยท 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 ...

New

Staff Data Engineer

Warren, MI ยท 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 ...

New

Data Engineer

Detroit, MI ยท On-site

$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 ...

AI Data Engineer

Detroit, MI ยท On-site

$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 ...

ICT Data Engineer

Auburn Hills, MI

$108K - $130K/yr

Data engineering is the practice of making the appropriate data available to various data consumers (including data scientists, data and business analysts, citizen integrators, and line-of-business ...

Data Engineer III

Dearborn, MI ยท On-site

$125 - $150/hr

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 ...

ICT Data Engineer

Auburn Hills, MI ยท On-site

$108K - $130K/yr

Data engineering is the practice of making the appropriate data available to various data consumers (including data scientists, data and business analysts, citizen integrators, and line-of-business ...

Data Engineer 3

Dearborn, MI ยท 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 ...

Data Engineer

Plymouth, MI ยท 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 ...

Data Engineer

Plymouth, MI ยท 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 ...

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 ...

Data Engineer

Dearborn, MI ยท 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 ...

Senior Data Engineer

Auburn Hills, MI ยท On-site

$100K - $136K/yr

About the Role Join the Supply Chain AI Hub as a Senior Data Engineer helping turn AI ambition into reliable data foundations and delivery-ready assets. This role helps engage business, engineering ...

Showing results 21-40

Data Engineer information

See Ferndale, MI salary details

$41.4K

$120.7K

$165.2K

How much do data engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data engineer in Ferndale, MI is $120,720.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,600.00 and $128,000.00 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.

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

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

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

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

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

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

Infographic showing various Data Engineer job openings in Ferndale, MI as of August 2026, with employment types broken down into 86% Full Time, 7% Temporary, and 7% Contract. Highlights an 78% In-person, 7% Hybrid, and 15% Remote job distribution, with an average salary of $120,720 per year, or $58 per hour.

Data Engineer

MM International

Dearborn, MI โ€ข On-site

$105K - $126K/yr

Contractor

Re-posted 3 days ago


Job description

Role- Data Engineer

Work location Dearborn, MI

Ideal to be local but not required.

12 month contract.

Additional Information:

Resources will be in office 4 days a week.

Teams Video interview 1 hour – 1 round

Job Description:

·       Our Company is embarking on a critical digital transformation initiative to modernize its timekeeping infrastructure across the US and Canada.

·       We are seeking an experienced and highly skilled Technical Consultant to play a pivotal role in replacing our legacy timekeeping applications, TWOS and Kronos, with a state-of-the-art WorkForce Software solution for our hourly employee population.

·       This role is essential to ensuring a seamless transition and establishing a robust, integrated workforce management system that supports Company's operational excellence.

·       As a Technical Consultant, you will leverage your deep technical expertise to own complex integrations, understand and configure the application environment, contribute to our data lake strategy, and develop comprehensive reporting and dashboarding solutions.

·       This is an opportunity to make a significant impact on how manages its workforce, driving efficiency and accuracy in a large-scale enterprise environment.

Responsibilities:

·       Integration Ownership: Design, develop, implement, and maintain robust integrations between WorkForce Software and various internal and external systems, ensuring seamless data flow and process synchronization. This includes utilizing web services (SOAP, REST) and other integration technologies.

·       Application Environment Expertise: Possess in-depth knowledge of WorkForce Software configuration, modules (Time, Scheduling, Integrations), and functionalities to effectively tailor the system to Company's specific business requirements and policies.

·       Data Lake Contribution: Collaborate with data architecture teams to ensure WorkForce Software data is accurately captured, transformed, and integrated into Company's data lake, supporting advanced analytics and insights.

·       Reporting & Dashboarding: Lead the design, development, and implementation of custom reports and dashboards within WorkForce Software, providing key stakeholders with actionable insights into workforce data, timekeeping metrics, and compliance.

·       Technical Consultation: Provide expert technical guidance and support throughout the project lifecycle, including requirements gathering, solution design, testing, deployment, and post-implementation support.

·       Troubleshooting & Optimization: Identify, analyze, and resolve complex technical issues related to WorkForce Software, integrations, and data processes, ensuring system stability and optimal performance.

·       Documentation: Create and maintain comprehensive technical documentation, including integration specifications, configuration guides, and reporting logic.

·       Collaboration: Work closely with cross-functional teams, including HR, Payroll, IT, Labor Affairs, and analytics teams, to ensure alignment and successful project delivery.

Skills Required:

·       System Design

·       Systems Engineering

·       Testing

·       SaaS

·       Workforce Management

·       Software Documentation

·       SQL

·       Oracle

·       Web Applications

·       System Administration

·       Six Sigma Methodology

·       Warehousing

·       Access Controls

·       API

·       GCP

Experience Required:

·       Engineer 3 Exp: 7+ years Data Engineering work experience

Experience Preferred:

Basic Qualifications:

·       Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field.

·       5+ years of extensive experience in the implementation, configuration, and support of WorkForce Software (WFS) or other enterprise-level Workforce Management (WFM) systems.

·       Proven experience owning and delivering complex system integrations, including working with APIs, web services (SOAP, REST), and ETL processes.

·       Strong proficiency in SQL for data querying, analysis, and reporting.

·       Experience with data architecture concepts and integrating data into data lakes or similar analytical platforms.

·       Demonstrated experience in designing and developing reports and dashboards.

·       Excellent analytical, problem-solving, and communication skills, with the ability to translate technical concepts to non-technical stakeholders.

Preferred Qualifications:

·       Master's degree in a relevant technical field.

·       WorkForce Software certifications.

·       Experience with other scripting languages such as JavaScript.

·       Prior experience with large-scale HRIS or payroll system implementations.

·       Familiarity with Global Data & Insight & Analytics (GDIA) processes and tools.

·       Experience working in the automotive industry or a large manufacturing environment with hourly employee populations.

·       Ability to work effectively in a fast-paced, dynamic environment and manage multiple priorities simultaneously.

Education Required:

·       Bachelor's Degree