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Remote Big Data Jobs in Michigan (NOW HIRING)

Sun, Inc.

Senior Data Engineer

Southfield, MI · Remote

$97K - $132K/yr

This position provides the opportunity to work remote. Job Duties * Builds and maintains Azure data ... Experience using big data file formats and compression techniques * Experience with CI/CD processes ...

Sun RV Resorts

Senior Data Engineer

Southfield, MI · Remote

$97K - $132K/yr

This position provides the opportunity to work remote. Job Duties * Builds and maintains Azure data ... Experience using big data file formats and compression techniques * Experience with CI/CD processes ...

Ford Motor Company

Data Engineer

Dearborn, MI · On-site +1

$140K - $184K/yr

... GCP big query, or Alteryx. 5. Designing Data Pipeline Architectures (ETL/ELT) to ensure efficient data flow and integration using tools including GCP big query, astronomer airflow, terraform, or ...

Strategic Employment

Palantir, Data Engineer

Detroit, MI · Remote

$113K - $135K/yr

A healthcare company based in the Midwest is looking to hire a remote Data Engineer with some monthly regional travel. They are midway through a Palantir Foundry implementation, and are looking for ...

Strategic Employment

Palantir, Data Engineer

Detroit, MI · Remote

$113K - $135K/yr

A healthcare company based in the Midwest is looking to hire a remote Data Engineer with some monthly regional travel. They are midway through a Palantir Foundry implementation, and are looking for ...

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All JobsBig Data JobsRemote Big Data JobsRemote Big Data Jobs in Michigan

Remote Big Data information

See Michigan salary details

$40.1K

$143.8K

$212.2K

How much do remote big data jobs pay per year?

As of Jul 19, 2026, the average yearly pay for remote big data in Michigan is $143,829.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,400.00 and $148,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Remote Big Data position, and why are they important?

To excel as a Remote Big Data professional, a solid background in data analysis, distributed computing, and programming languages such as Python, Java, or Scala is essential, often supported by a degree in computer science or a related field. Familiarity with big data technologies like Hadoop, Spark, Kafka, and cloud platforms (AWS, Azure, or Google Cloud) as well as relevant certifications can be highly advantageous. Strong problem-solving abilities, self-management, and effective remote communication skills are critical for collaborating with distributed teams. These combined skills enable professionals to efficiently process massive datasets, create scalable solutions, and contribute to data-driven decision-making from a remote environment.

What is a Remote Big Data job?

A Remote Big Data job involves working with large datasets, analyzing trends, and optimizing data infrastructure, all while telecommuting. Professionals in this role use tools like Hadoop, Spark, and SQL to process and interpret complex data. They may work for tech companies, finance, healthcare, or other industries that rely on data insights. A strong background in data engineering, analytics, or machine learning is often required. These roles offer flexibility but demand strong communication and collaboration skills for remote teamwork.

What are some typical daily responsibilities for a Remote Big Data professional?

As a Remote Big Data professional, your daily tasks often include developing, maintaining, and optimizing large-scale data processing pipelines, analyzing datasets to extract insights, and troubleshooting performance issues. You’ll collaborate closely with cross-functional teams—such as data engineers, analysts, and product managers—through virtual meetings and shared documentation tools. Regular responsibilities may also involve implementing data quality standards, ensuring data security, and integrating new data sources. The remote aspect of the role emphasizes self-motivation and clear digital communication to keep projects on track. This position offers a dynamic workday where your contributions directly impact business intelligence and innovation.

What are the most commonly searched types of Big Data jobs in Michigan? The most popular types of Big Data jobs in Michigan are:
What are popular job titles related to Remote Big Data jobs in Michigan? For Remote Big Data jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Remote Big Data jobs in Michigan look for? The top searched job categories for Remote Big Data jobs in Michigan are:
What cities in Michigan are hiring for Remote Big Data jobs? Cities in Michigan with the most Remote Big Data job openings:
Remote Big Data jobs near you
Infographic showing various Remote Big Data job openings in Michigan as of July 2026, with employment types broken down into 2% As Needed, 70% Full Time, 25% Part Time, and 3% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $143,829 per year, or $69.1 per hour.
Data Engineer

Data Engineer

Michigan Farm Bureau Family of Companies

Lansing, MI • On-site, Remote

$90K/mo

Full-time

Medical, Dental, Vision, Retirement

Re-posted 14 days ago

Job description

Data Engineer Objective

To build, manage, optimize, and assist in the design of data pipelines in support of information, analytics, and strategic business needs across the enterprise.


Data Engineer Responsibilities

Identify and understand source data systems and data flow between systems. Recognize changes in those systems and assess impacts on data pipelines. Adapt data pipelines to accommodate modifications triggered by source system changes or business requirements.

Work closely with other IT or business personas while participating on projects. Demonstrate proficiency in understanding requirements and assist the team by offering expertise on data-related technical issues. Provide continuous updates on progress to project stakeholders, as well as issues or dependencies that put milestones at risk. Communicate efficiently, both written and verbally. Ask clarifying questions when needed and demonstrate teamwork and collaboration with the project team to ensure deliverables meet expectations.

Assemble large sets of data that meet non-functional and functional business requirements and that comply to best practices and guidelines set by architects, senior and lead engineers.


Data Engineer Qualifications

Required

Bachelor’s degree in information systems, computer science, or related field required, or equivalent experience may be considered.

Three to five years’ experience working with Microsoft SQL Server, T-SQL, Visual Studio IDE, and SSIS (or equivalent ETL platforms) required.

Current knowledge of computer hardware, operating systems, program language(s) and tools, testing techniques and tools, program specification and interpretation required.

Working knowledge of systems design and analysis tools and techniques required.

Willingness to pursue continuing job-related training and education in systems and insurance required.

Preferred

Working knowledge of transactional, analytical, big data structures preferred.

Understanding database best practices and technologies such as types of compression, indexes, security, data types, and AlwaysOn preferred.

Prior experience at an insurance company or on projects for an insurance company preferred.

Microsoft Fabric experience preferred.
Note: This is a Hybrid position working remotely (from the state of Michigan) and from the Farm Bureau Home Office located in Lansing, Michigan.
If a candidate is not selected, a Senior Data Engineer may be considered on the level of experience and qualifications.
Farm Bureau offers a full benefit package including medical, dental, vision, and 401K.

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