ZipRecruiter

Log In

2

Remote Data Engineer Jobs in Ann Arbor, MI (NOW HIRING)

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 ...

next page

Showing results 1-20

All JobsData Engineer JobsRemote Data Engineer JobsRemote Data Engineer Jobs in Ann Arbor, MI

Remote Data Engineer information

See Ann Arbor, MI salary details

$43.5K

$126.9K

$173.7K

How much do remote data engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for remote data engineer in Ann Arbor, MI is $126,906.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,000.00 and $134,500.00 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 Ann Arbor, MI?

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

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

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

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

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

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

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

Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Ann Arbor, MI as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $126,906 per year, or $61 per hour.

Software Engineer, II - Data Engineering

Torc Robotics

Ann Arbor, MI • Remote

$112K - $134K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday

New

Job description

About the Company 

At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. 
A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners.Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight. 
Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer. 

Meet the Team
Torc's Data Engineering team is a highly collaborative group focused on building secure, scalable systems that let customers work with data easily and confidently. We operate as a distributed, remote first team, ensuring everyone has equal access to information and collaboration. Our work includes frequent touchpoints-daily standups, planning sessions, and ad hoc discussions over Zoom or Slack. Because we own our services end-to-end, each engineer participates in a business hour on call rotation. We prioritize healthy work/life balance and sustainable development over heroic efforts.

What You'll Do
We are seeking a Software Engineer with experience in implementing and maintaining Linux and cloud-based data management solutions who is ready to extend that experience. In this role you will be working closely with other engineers on the implementation of AWS-native data ingestion, ETL, and storage solutions that power data driven analytics, simulation, and ML training across the enterprise.
  • Create robust and resilient pipelines to process massive daily volumes of data created by vehicle fleets and simulation environments
  • Build and support scalable pipelines as part of Torc's Data Factory to delivery data for ML training at scale
  • Scale Torc's data lake through a distributed storage system, data crawling and discovery
  • Promote and protect the integrity of data through validation, versioning, data provenance, and governance
  • Support the expansion of Torc's data lake through acquisition of additional data sets from internal and external sources
  • Contribute to the design, architecture and delivery of cloud-based solutions    
  • Collaborate with teams specializing in perception, planning, control, mapping and vehicle testing to develop solutions that support product delivery
  • Support the implementation of emerging cloud-based capabilities that can extend our technology stack and improve our ability to build, deploy and test safety-critical software for self-driving vehicles
  • Participate in the team's on-call rotation to support our deployed systems during business hours  
Here's a list of some of the technologies we use to make all the above happen:
  • Managed services powered by AWS (Lambda, SFN, Batch, EventBridge, Athena, Glue)
  • Linux / Bash
  • Docker
  • Terraform
  • Python
  • React/Javascript
  • On-Call Tooling (Datadog, AWS Cloudwatch)
  • CI/CD Tooling (Jenkins, GitHub Actions) 
What You'll Need to Succeed
  • Bachelor's Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 4+ years of experience or;
  • Master's Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 0-3+ years of experience.
  • Experience deploying, troubleshooting, monitoring and maintaining Linux systems
  • Experience building and maintaining workloads in public cloud environments
  • Knowledge of different database architectures, including but not limited to relational and NoSQL databases, vector stores, data warehousing and clustered, distributed data stores
  • Practical experience with Linux and general bash scripting
  • Practical experience with Docker and containerization
  • Implementation of workflow patterns using directed acyclic graphs (Apache Airflow, AWS Step Functions)
  • A strong commitment to test-driven development patterns, continuous integration and delivery, and infrastructure as code
Bonus Points
  • Strong organizational, time management, and communication skills working with a team orientation and collaborative style 
  • Experience with the Databricks platform, particularly for serving data, visualizations and jobs
  • Experience with scaling data for ML and AI workloads using Ray
  • Experience with pandas, numpy and other Python-based data analysis libraries and tooling
  • Deep knowledge of AWS serverless architectures (Lambda, Batch, ECS Fargate, Glue, Athena)  
  • Experience with data storage and acquisition patterns for robotics and advanced driver assistance systems
  • Own end-to-end architecture and delivery of cloud-based solutions.

Perks of Being a Full-time Torc'r 
Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:    
 

  • A competitive compensation package that includes a bonus component and stock options 
  • 100% paid medical, dental, and vision premiums for full-time employees 
  • 401K plan with a 6% employer match 
  • Flexibility in schedule and generous paid vacation (available immediately after start date) 
  • AD+D and Life Insurance 

At Torc, we're committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc'rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. 
Even if you don't meet 100% of the qualifications listed for this opportunity, we encourage you to apply. 

Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.

Job ID: 102860

Apply