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

Ford Motor Company

Data Scientist

Dearborn, MI · Remote

Bachelor's degree in Data Science, Engineering, Mathematics, Computer Science, Operations Research ... Benefit Summary This role is remote but if you live within 50 miles within Dearborn, MI, you will ...

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

Remote Data Engineer information

See Detroit, MI salary details

$40.7K

$118.7K

$162.4K

How much do remote data engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for remote data engineer in Detroit, MI is $118,689.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,800.00 and $125,800.00 per year, depending on experience, location, and employer.

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 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 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.

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 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.

Are remote data engineers still in demand?

Remote data engineers are currently in high demand due to the increasing reliance on data-driven decision making and cloud-based data platforms. Skills in SQL, Python, cloud services, and data pipeline tools are highly sought after, and many organizations continue to hire for remote roles to access a broader talent pool.

Can a remote data engineer work remotely?

Yes, remote data engineers can work remotely, as the role primarily involves managing data pipelines, databases, and cloud-based tools that can be accessed from anywhere with an internet connection. Many companies offer remote positions for data engineers, often requiring skills in SQL, Python, cloud platforms, and data architecture. However, some roles may require occasional on-site presence or specific certifications depending on the employer's policies.
More about Remote Data Engineer jobs

What are the most commonly searched types of Data Engineer jobs in Detroit, MI?

The most popular types of Data Engineer jobs in Detroit, MI are:

What are popular job titles related to Remote Data Engineer jobs in Detroit, MI?

For Remote Data Engineer jobs in Detroit, MI, the most frequently searched job titles are:

What job categories do people searching Remote Data Engineer jobs in Detroit, MI look for?

The top searched job categories for Remote Data Engineer jobs in Detroit, MI are:

What cities near Detroit, MI are hiring for Remote Data Engineer jobs?

Cities near Detroit, MI with the most Remote Data Engineer job openings:

Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Detroit, MI as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $118,689 per year, or $57.1 per hour.

Senior Full-Stack BI Architect / Fabric Data Engineer

Proactive Technology Management

Ferndale, MI • On-site, Remote

$62.50 - $83.75/hr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 26 days ago

Job description

About Us

At Proactive Technology Management, we're transforming how businesses harness data to drive innovation and informed decision-making. As leaders in the SMB space, we leverage cutting-edge technologies to deliver actionable insights that give our clients a competitive advantage. We're seeking a Senior Full-Stack BI Architect / Fabric Data Engineer to design and implement innovative, domain-driven data solutions that humanize data and empower decision-makers. If you have a passion for making data meaningful and impactful, we want to hear from you! 

Role Summary

As a Senior Full-Stack BI Architect / Fabric Data Engineer, you will lead the design and development of robust, enterprise-grade data solutions that prioritize human-centric design through the use of ubiquitous language and domain-driven principles. You will leverage deep expertise in medallion architecture, advanced data modeling, and visualization to ensure our clients receive intuitive, actionable insights. Your technical expertise in the Microsoft Cloud Data Stack, DAX, Power Query M, SQL, and Spark Python will drive success in building scalable, user-friendly solutions. 

Key Responsibilities 
  • Lead the design and implementation of ETL/ELT pipelines within a medallion architecture (Bronze, Silver, and Gold layers) to ensure data quality, scalability, and accessibility across use cases.  
  • Architect and develop advanced data models that reflect domain-driven design principles, aligning with business domains and using ubiquitous language to ensure clarity and usability for all stakeholders.  
  • Design and implement star and snowflake schemas, along with medallion schema practices, to provide flexible, high-performance data structures for analytics.  
  • Create dynamic, user-centric dashboards and advanced reports in Power BI, empowering stakeholders with real-time insights and actionable metrics.  
  • Leverage DAX and Power Query M to craft sophisticated calculations and transformations that enhance data usability and business relevance.  
  • Build and optimize SQL-based solutions for database management, queries, and data integration, ensuring efficiency and scalability.  
  • Use Spark Python for processing large datasets and performing advanced analytics to meet complex business requirements.  
  • Collaborate with business leaders and cross-functional teams to understand data needs, define key performance indicators (KPIs), and ensure alignment with organizational goals.  
  • Stay informed on advancements in data engineering, business intelligence, and analytics, continuously driving innovation and improvement.  
  • Mentor team members to build organizational capacity in BI and data engineering best practices.  

Requirements

Qualifications
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field; advanced certifications in data engineering or BI are a plus.  
  • 7+ years of experience in data engineering, BI architecture, or a related role, with a focus on enterprise-grade solutions.  
  • In-depth expertise in medallion architecture, data modeling (star schemas, snowflake schemas), and best practices for data warehousing.  
  • Proven ability to implement domain-driven design (DDD) principles, ensuring data solutions reflect business domains and are accessible through ubiquitous language.  
  • Expert-level proficiency in Power BI, DAX, Power Query M, and SQL, with demonstrated success delivering scalable, impactful BI solutions.  
  • Strong programming skills with Spark Python for advanced data processing and analytics.  
  • Experience with the Microsoft Cloud Data Stack (Azure Data Factory, Azure Synapse Analytics, Microsoft Fabric) and other cloud technologies.  
  • A track record of translating complex datasets into intuitive insights, creating value for both technical and non-technical stakeholders.  
  • Exceptional problem-solving skills, attention to detail, and ability to thrive in a fast-paced, dynamic environment.  
  • Strong communication and leadership skills, with a focus on collaboration and stakeholder engagement.  

Benefits

  • Competitive compensation tailored to senior-level expertise.  
  • Opportunities to shape data strategy and lead transformative BI projects.  
  • Ongoing professional development through advanced training and certifications.  
  • A supportive, innovative culture that values diversity, inclusion, and creativity.  
  • Flexible remote work arrangements to support work-life balance.
  • Comprehensive health, dental, and vision insurance
  • 401(k) retirement plan with company match

If you're ready to lead the next evolution of business intelligence-harnessing the power of medallion architecture, domain-driven design, and user-centric modeling-apply today. Help us transform data into a powerful, humanized tool for business success. 

Apply