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Data Engineer Jobs in Taylor, MI (NOW HIRING)

Data Engineer (GCP)

Dearborn, MI ยท On-site

$105K - $126K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Job Title Data Engineer (Google Cloud Platform - GCP) Overview We are seeking a Data Engineer with experience designing, building, and maintaining scalable data solutions. This role is responsible ...

Data Engineer (GCP)

Dearborn, MI ยท On-site

$105K - $126K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Job Title Data Engineer (Google Cloud Platform - GCP) Overview We are seeking a Data Engineer with experience designing, building, and maintaining scalable data solutions. This role is responsible ...

Data Engineer

Detroit, MI ยท 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 ...

Data Engineer

Dearborn, MI

$105K - $126K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Data Engineer

Detroit, MI

$113K - $136K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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

$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 ...

Data Engineer

Dearborn, MI ยท On-site

$105K - $126K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Familiar with programming practices, such as test-driven development, continuous integration, and continuous delivery * Support security practices to safeguard user data including encryption and ...

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

Detroit, MI ยท On-site

$113K - $135K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

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

Sterling Heights, MI ยท On-site

$107K - $128K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

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 ...

GCP Data Engineer

Dearborn, MI ยท On-site

$105K - $126K/yr

Stefanini is looking for a GCP Data Engineer, Dearborn, MI For quick apply, please reach out to Lovkesh Bharti at 248-727-2506/ lovkesh.bharti@stefanini.com We are responsible for designing, building ...

Data Engineer

Dearborn, MI

$140K - $184K/yr

  • Medical

  • Dental

  • Life

  • PTO

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 ...

GCP Data Engineer

Dearborn, MI ยท On-site

$105K - $126K/yr

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

Data Engineer - Manager

Detroit, MI

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

GCP Data Engineer with Python

Dearborn, MI ยท On-site

$105K - $126K/yr

Role: GCP Data Engineer with Python Location: Dearborn, MI (4 days a week onsite) Job Type: Contract Experience: Overall 8 to 12 years Job Summary: * The Data Engineer will be responsible for ...

Data Engineer - Senior Manager

Detroit, MI

$124K - $280K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Data Engineer - Senior Associate

Detroit, MI

$77K - $202K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Showing results 21-40

Data Engineer information

See Taylor, MI salary details

$41.3K

$120.4K

$164.8K

How much do data engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for data engineer in Taylor, MI is $120,419.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,300.00 and $127,600.00 per year, depending on experience, location, and employer.

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.

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.

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.

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.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipelines. 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 and proficiency with tools like SQL, Python, and cloud platforms.

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

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

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

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

Infographic showing various Data Engineer job openings in Taylor, MI as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $120,419 per year, or $57.9 per hour.

Data Engineer (GCP)

HTC Global Services Inc

Dearborn, MI โ€ข On-site

$105K - $126K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 20 days ago


Job description

Job Title Data Engineer (Google Cloud Platform - GCP) Overview We are seeking a Data Engineer with experience designing, building, and maintaining scalable data solutions. This role is responsible for developing data infrastructure, pipelines, and platforms that support efficient data collection, storage, processing, and analytics. The ideal candidate has experience with Google Cloud Platform (GCP), modern data engineering practices, and cloud-based data solutions. Key Responsibilities Collaborate with business and technology stakeholders to understand current and future data requirements. Design, build, and maintain reliable, scalable, and efficient data infrastructure for data collection, storage, transformation, and analysis. Develop and maintain scalable data pipelines, data models, and applications to support reliable data workflows. Design, implement, and maintain data platforms, including data warehouses, data lakes, and data lakehouse environments for structured and unstructured data. Develop analytical tools, scripts, algorithms, and automation to support data engineering activities. Monitor data platform performance and identify opportunities for optimization and improvement. Perform data ingestion, data wrangling, and data transformation for various data sources, including loading data into BigQuery. Develop and maintain stored procedures, triggers, and data models. Work with QlikView, Cloud Functions, Data Fusion, Astronomer, and Apache Airflow. Required Qualifications Bachelor's or Master's degree. 4+ years of Data Engineering experience. Experience with Data Engineering, Data Warehousing, and Data Modeling. Experience with Google Cloud Platform (GCP) services, including cloud-native application development and deployment. Experience with data ingestion, transformation, and BigQuery. Experience with stored procedures, triggers, and data modeling. Experience with QlikView, Cloud Functions, Data Fusion, Astronomer, and Apache Airflow. Strong understanding of AI-assisted development tools, including Gemini Code Assist, OpenCode, and GitHub Copilot. Knowledge of Agentic AI concepts, including AI agents, autonomous workflows, multi-agent systems, and large language models (LLMs). Experience integrating AI tools into the software development lifecycle, including code generation, debugging, testing, and documentation. Preferred Qualifications Experience with GCP cloud services. Familiarity with Vertex AI, Gemini models, and AI APIs. What Makes HTC A Great Place To Build Your Future HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, youโ€™ll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. Youโ€™ll have long-term opportunities to grow your career and develop skills in the latest emerging technologies. At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks. Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected. #LI-Hybrid #LI-KK1