ZipRecruiter

Log In

2

Remote Data Engineering Jobs in Michigan (NOW HIRING)

LHH US

Data Analyst

Zeeland, MI · Remote

$70K - $120K/yr

Programming (Python or similar) What We're Looking For * Strong hands-on experience with data ... We will not consider remote candidates. Pay Details: $70,000.00 to $120,000.00 per year Search ...

Kobie Marketing

Director, Product

Detroit, MI · Remote

$230.70K - $241.60K/yr

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... You will work directly with Product, Data Engineering, Client Services, and Commercial teams to ...

Beacon Talent

Customer Solutions Director

Detroit, MI · On-site +1

$172.96K - $188.64K/yr

Director, Deployment Strategist (Applied AI / Healthcare / Regulated Data) Location: U.S. (Remote ... Coordinate internal teams (Product, Data, Engineering, Operations) to hit timelines and quality ...

next page

Showing results 1-20

People also search for

All JobsData Engineering JobsRemote Data Engineering JobsRemote Data Engineering Jobs in Michigan

Remote Data Engineering information

See Michigan salary details

$38.8K

$113.1K

$154.7K

How much do remote data engineering jobs pay per year?

As of May 30, 2026, the average yearly pay for remote data engineering 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 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 (such as Python, Java, or Scala), experience with data modeling, ETL processes, and a solid understanding of database systems, often supported by a degree in computer science or a related field. Proficiency with big data tools like Apache Spark, Hadoop, cloud platforms (AWS, Azure, GCP), and certifications in these technologies is highly valued. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for remote collaboration and project delivery. These competencies ensure effective data pipeline development, reliable data management, and seamless teamwork across distributed environments.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote data engineers often work with distributed teams, which requires strong communication and organization skills. They collaborate using tools like Slack, Zoom, and project management platforms to stay aligned on data pipeline development, troubleshooting, and deployment. Regular stand-ups, asynchronous documentation, and clear communication of progress are essential for ensuring everyone is on the same page, regardless of location. Flexibility in working hours and proactive scheduling of meetings help facilitate effective collaboration and project delivery.

What is remote data engineering?

Remote data engineering involves designing, building, and maintaining data systems and pipelines while working from a location outside of a traditional office. Remote data engineers use tools to collect, process, and store large sets of data, making it accessible for analysis and business decision-making. They collaborate with teams virtually, often using cloud-based technologies, to ensure that data infrastructure is reliable, scalable, and secure. This role requires strong technical skills in programming, databases, and data architecture, as well as the ability to communicate effectively in a distributed work environment.

How can I make $2000 a week working from home?

Remote data engineers can earn $2000 or more per week by working on high-demand projects, leveraging specialized skills in data pipelines, cloud platforms, and programming languages like Python or SQL. Achieving this income often requires advanced expertise, certifications, and experience with tools such as AWS or Azure, as well as the ability to handle multiple clients or projects simultaneously.

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

AspectRemote Data EngineeringRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with SQL, Python, cloud platformsBachelor's in Statistics, Data Science, or related; proficiency in Excel, SQL, visualization tools
Work EnvironmentBuilds data pipelines, manages databases, works with cloud infrastructureAnalyzes data sets, creates reports, visualizes data insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, finance, retail, consulting

Remote Data Engineering focuses on designing and maintaining data infrastructure, while Remote Data Analysts interpret data to provide insights. Both roles require strong analytical skills but differ in technical depth and responsibilities.

What are the most commonly searched types of Data Engineering jobs in Michigan? The most popular types of Data Engineering jobs in Michigan are:
What are popular job titles related to Remote Data Engineering jobs in Michigan? For Remote Data Engineering jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineering jobs in Michigan look for? The top searched job categories for Remote Data Engineering jobs in Michigan are:
What cities in Michigan are hiring for Remote Data Engineering jobs? Cities in Michigan with the most Remote Data Engineering job openings:
Remote Data Engineering jobs near you

Data Analyst

LHH US

Zeeland, MI • Remote

$70K - $120K/yr

Full-time

Posted 19 days ago

Job description

Why This Role?
We're partnering with a growing organization to add a DataAnalystto our client's fast-moving, highly collaborative team. This is a unique opportunity to step into a role where you'll build and shape data infrastructure from the ground up, directly influencing how sales and marketing decisions are made.
If you're someone who thrives in ambiguity, enjoys solving complex data challenges, and wants real ownership, this is not your typical reporting role.
What You'll Do
In this role, you'll act as a mix of data analyst, architect, and problem solver, helping transform messy, underutilized data into actionable insights.
Key Responsibilities:
  • Clean, structure, and manage large, complex datasets
  • Ingest and consolidate data from multiple, disparate systems
  • Build dashboards and deliver insights to business stakeholders
  • Analyze trends and translate data into actionable strategies
  • Identify gaps in data quality and implement improvement solutions
  • Independently research and implement new tools, processes, and solutions
  • Explore and analyze advanced data sources, including video analytics (as applicable)
Tools & Technology
  • Open to experience with:
    • Power BI
    • Domo
    • Tableau
    • Looker / Looker Studio
  • Bonus experience:
    • APIs or data integration
    • Programming (Python or similar)
What We're Looking For
  • Strong hands-on experience with data ingestion and analytics
  • Ability to work across multiple systems and data formats
  • Proven critical thinking and problem-solving skills
  • Comfort working in ambiguous, evolving environments
  • Experience building solutions-not just running reports
Preferred:
  • 2+ years of post-college experience or
  • Senior-level contractor with deep expertise
This isn't a plug-and-play data role. It's ideal for someone who can dig in, figure things out, and build solutions independently. If you're looking for impact, ownership, and the chance to create something meaningful, this could be your next move!
Please note, this role is fully onsite with our client in West Michigan. We will not consider remote candidates.
Pay Details: $70,000.00 to $120,000.00 per year
Search managed by: Amaka Mozie
Equal Opportunity Employer/Veterans/Disabled
Military connected talent encouraged to apply
To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to https://www.lhh.com/us/en/candidate-privacy
The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:
  • The California Fair Chance Act
  • Los Angeles City Fair Chance Ordinance
  • Los Angeles County Fair Chance Ordinance for Employers
  • San Francisco Fair Chance Ordinance
Massachusetts Candidates Only: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.