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Data Engineer Jobs in Jackson, MI (NOW HIRING)

Apptad, Inc.

Azure Data Engineer

Jackson, MI · On-site

$102K - $123K/yr

Position-Azure Data Engineer Location-Jackson, MI (3 days onsite) * Hands on Experience in Azure Synapse Analytics, Azure Data Factory and Data Bricks, Azure Storage, Azure Key Vault, SQL Pools CI/CD ...

CYNET SYSTEMS

Azure Data Engineer

Jackson, MI · On-site

$60 - $65/hr

Hands on Experience in Azure Synapse Analytics, Azure Data Factory and Data Bricks, Azure Storage ... We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and ...

KETT ENGINEERING CORPORATION

RLDA Engineer

Chelsea, MI · On-site

$100/hr

As a Road Load Data Acquisition (RLDA) Engineer, you will spearhead public road data collection efforts directly from the field. You will collaborate with cross-functional durability teams to ...

FastTek

Engineer

Jackson, MI · On-site

Analyze engineering materials including site drawings, blueprints, aerial imagery, survey reports, and topographical data to support SPCC planning. * Design and perform calculations for stormwater ...

Drive

Quality Engineer

Manchester, MI

$66K - $85K/yr

As a Quality Engineer, you will play a key role in ensuring that our products meet the highest ... Analyze data to track trends and develop solutions to reduce defects * Implement, review, and ...

Drive

Process Engineer

Charlotte, MI · On-site

$90K - $95K/yr

Analyze production data to improve cycle times, OEE, first-pass yield, and overall process ... Support engineering changes, equipment installations, mold qualifications, and process improvements.

Brembo

Prototype Engineer

Homer, MI · On-site

$30.25 - $34/hr

Responsible for processes for all prototypes, documentation, prototype tooling, data, communicating with product engineers, manufacturing engineers and coordinating with shipment. Utilize innovative ...

Dart Container

Associate Process Engineer

Mason, MI · On-site

Associate Process Engineer (12-Month Temporary Assignment with Potential for Full-Time Hire) Mason ... Review technical data sheets and collaborate with suppliers on material performance and ...

Knauf Insulation

Process Engineer

Albion, MI · On-site

As a Process Engineer, you will monitor and control the plant's cold-end processes, including ... You will analyse process and product data provided by Process Technicians, Production ...

Knauf Insulation

Process Engineer

Albion, MI · On-site

As a Process Engineer, you will monitor and control the plant's cold-end processes, including ... You will analyse process and product data provided by Process Technicians, Production ...

Knauf Insulation

Process Engineer

Albion, MI

As a Process Engineer, you will monitor and control the plant's cold-end processes, including ... You will analyse process and product data provided by Process Technicians, Production ...

Stellantis

Impact Safety Test Engineer

Chelsea, MI · On-site

The Impact Safety Test Engineer is responsible for the planning, preparing, and performing impact ... Ensuring the test data collection systems are properly configured and are capturing the required ...

Drive

Senior Quality Engineer

Manchester, MI · On-site

$81K - $110K/yr

As a Quality Engineer, you will play a key role in ensuring that our products meet the highest ... Analyze data to track trends and develop solutions to reduce defects * Implement, review, and ...

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All JobsData Engineer JobsData Engineer Jobs in Jackson, MI

Data Engineer information

See Jackson, MI salary details

$41.7K

$121.6K

$166.3K

How much do data engineer jobs pay per year?

As of Aug 29, 2026, the average yearly pay for data engineer in Jackson, MI is $121,554.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,300.00 and $128,800.00 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 Jackson, MI?

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

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

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

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Jackson, MI as of August 2026, with employment types broken down into 83% Full Time, 15% Contract, and 2% Nights. Highlights an 94% In-person, and 6% Hybrid job distribution, with an average salary of $118,017 per year, or $56.7 per hour.

Azure Data Engineer

Apptad, Inc.

Jackson, MI • On-site

$102K - $123K/yr

Contractor

This job post has expired today. Applications are no longer accepted.

Job description

Position-Azure Data Engineer
Location-Jackson, MI (3 days onsite)
Job Description
  • Hands on Experience in Azure Synapse Analytics, Azure Data Factory and Data Bricks, Azure Storage, Azure Key Vault, SQL Pools CI/CD Pipeline Designing and other Azure services like functions, logic apps - Linked services, Various Runtimes, Datasets, Pipelines, Activities
  • Strong Hands-on Experience in Various Activities like Control flow logic and conditions (For Each, if, switch, until), Lookup, Stored procedure, scripts, validations, Copy Data, Data flow, Azure functions, Notebooks, SQL Pool Stored procedures etc.
  • Strong hands on exp in deployment of code throughout landscape (Dev -> QA -> Prod), Git Hub, CI/CD pipelines etc.
  • Strong hands on creating the SQL stored procedures - Functions, Stored Procedures, how to call one SP into another, how to process record-by-record - Dynamic SQL - Data Bricks - Must have
  • Strong background about the Python libraries like PySpark, Pandas, NumPy, MySQL, Oracle, PySpark libraries
  • Must have strong hands on to get data through APIs
  • Must be able to install libraries and help users to troubleshoot issues
  • Must have knowledge to get the data through stored procedures via Python
  • Should be able to debug the Python code Hands on experience in Spark Pools, Spark
  • Should be able to merge data/delta loads through Notebooks
  • Must have strong background about the Python libraries and PySpark - Hands on Exp on Power BI
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About Apptad

Sourced by ZipRecruiter

Apptad offers strategic consulting, enterprise information management and digital transformation services. With globally connected offices in US and India along with a team of trained and certified IT resources, Apptad ensures quick and effective delivery to its customers.Apptad is relentlessly reinventing the outlook of how companies leverage data. With an effort to enable our customers the ability to solve biggest problems within their organization. We perceive our clients’ problems and respond with custom solutions instead of handing over boilerplate responses.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Reston, VA, US

Year founded

2018

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