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Data Engineer Jobs in Michigan (NOW HIRING)

KODE Labs

Data Engineer

Detroit, MI · On-site

$125 - $150/hr

Our team is hiring a Data Engineer to join our EnerG team . Be a driving force behind our innovative cloud-based Building Management System (BMS) SaaS platform. You will play a pivotal role in ...

FastTek

Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Data Engineer #1061533 * Employees in this job function are responsible for designing, building, and maintaining data solutions including data infrastructure, pipelines, etc. for collecting, storing ...

Howmet Aerospace

Data Engineer

Whitehall, MI · On-site

$108K - $130K/yr

As a data engineer at the Howmet Research Center, you will join a team of Data Scientists and Machine Learning Engineers. This team is part of a multidisciplinary IGT group responsible for advancing ...

OtterBase

Data Engineer

Muskegon, MI · On-site

$103K - $124K/yr

Description: We are helping a client company identify a Data Engineer to hire. Looking for someone who can work with multiple data sources, and transforming the data into reliable, documented ...

Bright Mind Solutions LLC

Data Engineer

Warren, MI · On-site

$45 - $50/hr

The Data Engineer handles leading and delivering new and innovative data driven solutions that are elegant and professional. You will work closely with our forward-thinking Data Scientists, BI ...

Tech Tammina LLC

Data Engineer

Lansing, MI · On-site

$116K - $139K/yr

Data Engineer Location: Lansing, MI (Need only locals, F2F is must) Rate: Market Duration: long term Required Skills: 12+ years developing complex database systems. 8+ years Databricks. 8+ years ...

Corning

$104K - $125K/yr

As a Lead Data Engineer, you will serve as a senior individual contributor responsible for defining technical direction, leading complex Data Engineering initiatives, and building scalable, reliable ...

Spruce Infotech

Principal Data Engineer

Detroit, MI · On-site

$72/hr

Principal Data Engineer Location: Detroit, MI 48201 (Hybrid) Experience: 10+ Years $72/hr on W2 Job Summary We are looking for a Principal Data Engineer with strong experience in modern cloud data ...

New

Corning

$104K - $125K/yr

What is your role? As a Senior Data Engineer, you will design, build, optimize, and maintain scalable data pipelines, curated datasets, and cloud-based data solutions supporting Corning ...

Howmet Aerospace Inc.

Data Engineer

Whitehall, MI · On-site

$80 - $100/hr

Collaborate with Data Scientists and Machine Learning Engineers to understand model input requirements * Transform the data to meet machine learning model input requirements * Provide post-modeling ...

Howmet Aerospace

Data Engineer

Whitehall, MI · On-site

$108K - $130K/yr

Bachelor's degree in engineering, Data Analysis, Data Science, Computer Science, or Information Systems * At least two years of data engineering experience * Must have experience in basic SQL ...

Howmet

Data Engineer

Whitehall, MI · On-site

$108K - $130K/yr

Currency Code US Dollar , Responsibilities As a data engineer at the Howmet Research Center, you will join a team of Data Scientists and Machine Learning Engineers. This team is part of a ...

V-CENTRIX-US LLC

Snowflake Data Engineer

Detroit, MI · On-site

$104K - $125K/yr

Snowflake Data Engineer Location: Detroit Michigan, USA Work Arrangement: On-site No H1b/OPT Experience Required: 10+ years Job Overview We are looking for an experienced Data Engineer / Technical ...

Deloitte

Data Engineer

Lansing, MI · On-site

$116K - $139K/yr

As an experienced Data Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with ...

Deloitte

Data Engineer

Grand Rapids, MI · On-site

$110K - $132K/yr

As an experienced Data Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with ...

MM International

Data Engineer

Dearborn, MI · 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 ...

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 ...

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 ...

Deloitte

Data Engineer

Midland, MI · On-site

$98K - $118K/yr

As an experienced Data Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with ...

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Showing results 21-40

All JobsData Engineer JobsData Engineer Jobs in Michigan

Data Engineer information

See Michigan salary details

$38.8K

$113.1K

$154.7K

How much do data engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for data engineer in Michigan is $113,060.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,800.00 and $119,800.00 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 Michigan?

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

What are popular job titles related to Data Engineer jobs in Michigan?

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

What job categories do people searching Data Engineer jobs in Michigan look for?

The top searched job categories for Data Engineer jobs in Michigan are:

What cities in Michigan are hiring for Data Engineer jobs?

Cities in Michigan with the most Data Engineer job openings:

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

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

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $113,060 per year, or $54.4 per hour.

Data Engineer

KODE Labs

Detroit, MI • On-site

$125 - $150/hr

Other

PTO

Posted 6 days ago

Key responsibilities

  • Design, develop, and maintain scalable data pipelines for processing and storing energy data.

  • Implement data quality checks, monitor pipelines for issues, and ensure data accuracy and completeness.

  • Prepare data for dashboards, reports, and analysis by creating KPIs and transforming data into key metrics.

Job description

Our team is hiring a Data Engineer to join our EnerG team . Be a driving force behind our innovative cloud-based Building Management System (BMS) SaaS platform. You will play a pivotal role in shaping the future of energy management by architecting and developing the core data infrastructure.

You will be at the forefront of processing and managing a high volume of data, handling billions of data points monthly to deliver insightful metrics and Key Performance Indicators (KPIs). Your contributions will directly empower our platform's ability to provide actionable energy insights.

If you are a motivated Data Engineer with a strong passion for building and maintaining robust data infrastructure that facilitates seamless data processing, in-depth analysis, and impactful visualizations, we encourage you to explore this opportunity.

WHAT YOU WILL DO

Design, develop, and maintain scalable data pipelines for efficient processing and storage of energy data.

Implement data quality checks, monitor pipelines for issues, and ensure accuracy and completeness.

Execute data cleaning processes to handle missing values, outliers, and inconsistencies, and standardize formats for consistency.

Aggregate data at various intervals (e.g., 15-min, hourly, daily) and transform it into key metrics like energy consumption and cost analysis.

Implement algorithms to detect and remove anomalies, ensuring the integrity of data-driven insights.

Develop algorithms to create virtual meters by combining data from multiple sources or applying business rules.

Enrich data with contextual information (e.g., weather, occupancy, utility rates) for deeper analysis.

Identify and address data gaps to ensure comprehensive reporting and analysis.

Analyze relationships between data sources to uncover correlations and insights for informed decision-making.

Prepare data for dashboards, custom reports, and ad-hoc analysis; develop KPIs for ESG and energy metrics.

Ensure compliance with industry standards like NABERS, LEED, and Energy Star for data collection and reporting.

Normalize energy data based on external factors like weather to enable accurate comparisons.

Develop predictive models to forecast energy consumption and support resource management planning.

WHAT YOU NEED TO SUCCEED

Proven experience in designing and building end-to-end data pipelines.

Hands-on experience with big data technologies, including but not limited to BigQuery, Apache Kafka, and Clickhouse.

Proficiency in programming languages such as Python or Java, with a strong emphasis on data manipulation and processing.

Demonstrated experience in building configurable and adaptable data pipelines to meet evolving business needs.

A strong understanding of data modeling principles and best practices.

Excellent analytical and problem-solving skills with a keen attention to detail.

Ability to collaborate effectively within a team environment and communicate technical concepts clearly.

A proactive approach to learning and adapting to new technologies and challenges in the data engineering landscape.

WHAT WE OFFER:
  • Competitive salary based on experience
  • Discretionary Bonus Program
  • Dynamic team and challenging projects
  • Flexible Paid Time Off
  • Welcoming and friendly work environment
  • Regular social events and activities
JOIN THE TEAM

KODE Labs is a real estate technology company founded in 2017 with a mission to change the way people, buildings and systems operate. Headquartered in Detroit, Michigan, we are a driving force behind the adoption of smart building technology. To scale our presence in Detroit and across the Nation, we depend on our team of talented, ambitious people who go above and beyond to create value for our clients.

When you join the KODE Labs team you can create your own career. Whether you have years of experience or are just starting, we help you realize your full potential and achieve your goals.

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