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Remote Data Engineer Jobs in Lansing, MI (NOW HIRING)

Dart Container

Staff Engineer - Polymers

Mason, MI · On-site +1

Please note that remote work requires 60-70% travel to our facilities. What You'll Do... * Deliver ... Analyze complex multi-plant production data, translate insights into decisive recommendations, and ...

Dart Container

Staff Engineer - Polymers

Mason, MI · On-site +1

Please note that remote work requires 60-70% travel to our facilities. What You'll Do... * Deliver ... Analyze complex multi-plant production data, translate insights into decisive recommendations, and ...

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Showing results 1-20

All JobsData Engineer JobsRemote Data Engineer JobsRemote Data Engineer Jobs in Lansing, MI

Remote Data Engineer information

See Lansing, MI salary details

$45.1K

$131.6K

$180K

How much do remote data engineer jobs pay per year?

As of Jul 28, 2026, the average yearly pay for remote data engineer in Lansing, MI is $131,567.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,100.00 and $139,500.00 per year, depending on experience, location, and employer.

What Does a Remote Data Engineer Do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

What is the difference between Remote Data Engineer vs Remote Data Analyst?

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

How do remote Data Engineers typically collaborate with other team members across different time zones?

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

What is a Remote Data Engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

What are the key skills and qualifications needed to thrive as a Remote Data Engineer, and why are they important?

To thrive as a Remote Data Engineer, you need strong programming skills in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.
More about Remote Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Lansing, MI? The most popular types of Data Engineer jobs in Lansing, MI are:
What are popular job titles related to Remote Data Engineer jobs in Lansing, MI? For Remote Data Engineer jobs in Lansing, MI, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineer jobs in Lansing, MI look for? The top searched job categories for Remote Data Engineer jobs in Lansing, MI are:
What cities near Lansing, MI are hiring for Remote Data Engineer jobs? Cities near Lansing, MI with the most Remote Data Engineer job openings:
Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Lansing, MI as of July 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, 2% Temporary, and 2% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $131,567 per year, or $63.3 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

Posted 23 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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