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

Tetra Tech

Civil Engineer III

Detroit, MI · On-site +1

This opportunity is remote and/or hybrid-friendly that can be performed from a wide range of ... Analyze data and review project work products, including site specific technical data, engineering ...

TMS

Databricks Architect

Troy, MI · Remote

$66.25 - $87/hr

Troy, MI- Remote Minimum exp.- 14-15 yrs. Role Overview We are looking for a Databricks Architect ... Lead solution design discussions and mentor data engineering teams Must-Have Skills * 10+ years in ...

Canopy

Senior Machine Learning Engineer

Detroit, MI · Remote

$126K - $180K/yr

Perform advanced exploratory data analysis on large-scale sensory datasets (image, audio, radar ... Proficiency in Unix-based environments (Linux, macOS) including working with remote servers and ...

Canopy

Senior Machine Learning Engineer

Detroit, MI · On-site +1

$126K - $180K/yr

Perform advanced exploratory data analysis on large-scale sensory datasets (image, audio, radar ... Proficiency in Unix-based environments (Linux, macOS) including working with remote servers and ...

Relativity

Senior Applied Scientist

Detroit, MI · On-site +1

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... We work closely with engineering, product, design, data engineering, machine learning operations ...

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All JobsRemote Data Engineer JobsRemote Data Engineer Jobs in Commerce, MI

Remote Data Engineer information

See Commerce, MI salary details

$39.9K

$116.4K

$159.3K

How much do remote data engineer jobs pay per year?

As of Jun 18, 2026, the average yearly pay for remote data engineer in Commerce, MI is $116,433.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,800.00 and $123,400.00 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.

Can a data engineer work remotely?

Yes, data engineers can work remotely, especially as many companies adopt flexible work arrangements. Remote data engineering roles often require strong skills in cloud platforms, data pipelines, and collaboration tools, and may involve regular virtual communication with teams. The feasibility depends on the company's policies and the specific job requirements.

Will AI replace data engineer?

AI is unlikely to fully replace data engineers, as their role involves designing, building, and maintaining data pipelines and infrastructure that require human oversight and expertise. Instead, AI tools can augment their work by automating routine tasks, allowing data engineers to focus on complex problem-solving and system architecture. Skills in programming, cloud platforms, and data management remain essential for the role.

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.

What engineers make $500,000?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires specialized certifications, leadership roles, and a strong track record of managing complex data infrastructure.

How to make $1000 a week remote?

A remote data engineer can earn $1000 or more per week by working full-time for a company, freelancing on project-based platforms, or offering specialized skills such as data pipeline development, cloud computing, or machine learning. Building a strong portfolio, gaining relevant certifications, and mastering tools like SQL, Python, and cloud services can increase earning potential.
More about Remote Data Engineer jobs
What cities near Commerce, MI are hiring for Remote Data Engineer jobs? Cities near Commerce, MI with the most Remote Data Engineer job openings:
Remote Data Engineer jobs near you
Safety Campaign Data Project Manager (1450135)

Safety Campaign Data Project Manager (1450135)

Brightwing

Auburn Hills, MI • Remote

$43 - $48/hr

Other

Posted 15 days ago

Job description

Job Description Based in Auburn Hills, MI - 100% remote with minor exception where needed The Safety Campaign Data Project Manager Responsibilities include but not limited to: The Safety Campaign Data Project Manager will handle all aspects of regulatory reporting requirements for both domestic and international requirements, including working closely with the Enterprise Systems team and the ICT teams to ensure full and accurate regulatory reporting data is complete and submitted on time. In addition, this position will gather and measure campaign field data to identify trends enabling targeted outreach activities to maximize campaign completion. This position will also support domestic and international initiatives to maximize safety recall completion rates to finding and motivating owners to have their recalls completed.

These initiatives may be customer or dealer facing and involve internal partners or external vendors. Working closely with the VSRC Systems team, Corporate Quality, MOPAR, and the ITC team, the Data Analyst will identify segments to implement and measure field initiatives. Lastly, the selected candidate will collaborate with US team members from multiple internal organizations including Field Operations, Customer Care, Purchasing, and Supply Chain.

Requirements: Temporary Assignment - approx. 6-9 months - anywhere from 10-40 hours per week. Likely that it is 10 hours / week minimum but depending on the candidate's skills and abilities we could likely utilize this person upwards of 24 hours a week most weeks.

A minimum of a Bachelor's Degree in Business, Finance, Engineering or other Technical degree from an ABET accredited university. 1-5 years' experience - depending on how solid data analytic skills are. Ability to work closely with a team, attention to detail, creativity, and proactive thinking are important skills.

Proficient in Microsoft excel and other office software. CTC based - 100% remote with minor exception where needed No driving company vehicle is required for this position No travel is required Preferred Requirements: Minimum 5 years experience working on safety recalls, and takata recalls more specifically. Experience in Engineering, Purchasing, Supplier Quality, MOPAR, or Manufacturing.

Proficient in Microsoft access. Contract to hire opportunity

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