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

KēSTA I.T.

Senior Data Engineer 163970

Lansing, MI · On-site +1

$37 - $57/hr

T is actively seeking a Senior Data Engineer for an immediate contract engagement with our government client. Work Location: This position is Hybrid : We Are Seeking an experienced Senior Data ...

EnSafe Inc.

Environmental Project Engineer

Lansing, MI · Remote

This is a remote position and can be based in Ann Arbor, Lansing, Kalamazoo, Grand Rapids, Battle ... Provide data compilation, database management, statistical evaluation, and modeling. * Review ...

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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 Aug 8, 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 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $131,567 per year, or $63.3 per hour.

Senior Data Engineer

Global Information Technology (Michigan)

Lansing, MI • On-site, Remote

$107K - $146K/yr

Contractor

Posted 4 days ago

Job description

Job Description

Job Title: Senior Data EngineerJob Location: Lansing, MI (Hybrid)Job Type: ContractJob Description/ Requirement:

  • 3–7 years of experience in Data Engineering, Business Intelligence, Data Analytics, or a related field.
  • Strong experience in project management reporting and portfolio analytics.
  • Hands-on experience with SQL, data integration, ETL, and data transformation.
  • Experience developing dashboards and executive reports using Microsoft Power BI or similar BI tools.
  • Ability to gather business requirements and translate them into reporting solutions.
  • Experience creating KPIs, scorecards, and portfolio performance metrics.
  • Strong knowledge of data modeling, reporting automation, and data quality.
  • Experience analyzing project, portfolio, financial, and operational data.
  • Excellent analytical, problem-solving, and communication skills.
  • Ability to work independently while managing multiple priorities.
  • Bachelor's degree in Computer Science, Information Systems, Data Science, Business Analytics, Mathematics, Statistics, Engineering, or a related field.
  • Equivalent experience and certifications will also be considered.

Preferred:

  • Experience with Project Portfolio Management (PPM) tools such as Clarity, ServiceNow PPM, Planview, or Microsoft Project Online.
  • Experience with Microsoft Fabric, Azure Data Factory, Azure SQL, SQL Server, or enterprise data warehousing.
  • Knowledge of APIs, ETL processes, scripting, and reporting automation.
  • Experience in government or large enterprise environments.
  • Familiarity with Agile, Scrum, Kanban, SAFe, or PMBOK methodologies.
  • Experience with financial and portfolio performance reporting.

Interested candidates can send their updated resumes at jobs@global-itech.com

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