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Remote Data Engineer Jobs in Rochester Hills, MI

Quora

AI Automation Engineer -Remote

Warren, MI · On-site +1

$202K - $234K/yr

Act as a high-trust owner of systems that may handle sensitive data or business-critical logic ... Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ...

Quora

AI Automation Engineer -Remote

Detroit, MI · On-site +1

$202K - $234K/yr

Act as a high-trust owner of systems that may handle sensitive data or business-critical logic ... Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ...

Quora

AI Automation Engineer -Remote

Sterling Heights, MI · On-site +1

$202K - $234K/yr

Act as a high-trust owner of systems that may handle sensitive data or business-critical logic ... Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ...

Quora

AI Automation Engineer -Remote

Rochester Hills, MI · On-site +1

$202K - $234K/yr

Act as a high-trust owner of systems that may handle sensitive data or business-critical logic ... Experience creating LLM-backed tools involving prompt engineering and automated evals * 5+ years of ...

Kasmo Global

Software Engineer

Troy, MI · Remote

Software Engineer Location: - Remote Duration: Long Term Overview: Join our dynamic team as a ... Create interactive dashboards and data visualizations using tools like Plotly, D3, or Streamlit ...

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Showing results 1-20

All JobsRemote Data Engineer JobsRemote Data Engineer Jobs in Rochester Hills, MI

Remote Data Engineer information

See Rochester Hills, MI salary details

$41K

$119.4K

$163.4K

How much do remote data engineer jobs pay per year?

As of Jun 19, 2026, the average yearly pay for remote data engineer in Rochester Hills, MI is $119,398.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,400.00 and $126,600.00 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 are the most commonly searched types of Data Engineer jobs in Rochester Hills, MI? The most popular types of Data Engineer jobs in Rochester Hills, MI are:
What job categories do people searching Remote Data Engineer jobs in Rochester Hills, MI look for? The top searched job categories for Remote Data Engineer jobs in Rochester Hills, MI are:
What cities near Rochester Hills, MI are hiring for Remote Data Engineer jobs? Cities near Rochester Hills, MI with the most Remote Data Engineer job openings:
Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Rochester Hills, MI as of June 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 100% Remote job distribution, with an average salary of $119,398 per year, or $57.4 per hour.
Staff Software Engineer - Developer Experience

Staff Software Engineer - Developer Experience

General Motors

Warren, MI • On-site, Remote

Full-time

Posted 6 days ago

General Motors rating

8.1

Company rating: 8.1 out of 10

Based on 305 frontline employees who took The Breakroom Quiz

5th of 44 rated automakers

Job description

Job Description

Remote or Hybrid: This role can be remote US or hybrid in our Warren MI or Austin TX office.

The Role:

ThisStaff Software Engineer - Developer Experiencerole sits within the Developer Experience (DevEx) team at the intersection ofDevEx, data, and business strategy. The team provides tools, platforms, metrics, and enablement programs that reduce friction for engineers, streamline software delivery workflows, and improve developer satisfaction and productivity acrossGeneral Motors.

In this role, you will focus onDeveloper Productivity & Insights-defining how we measure and understand engineering effectiveness, partnering with platform and product teams to synthesize signals across SDLC systems, and translating those insights into clear narratives and recommendations for senior engineering leadership up to theCISOoffice. Rather than owning a single platform, you will drive change through influence: shaping our metrics strategy,definingand evolvinggolden paths, evaluating how AI is transforming developer workflows, and turning data into better tools, workflows, and outcomes for engineers.

TheDevExteam exists to make life dramatically better for software engineers at GM. As a Staff Software Engineer,you'llhelp lead the shift from a traditional IT model to anAI-native engineering organization-designing and building automation, golden paths, and AI-driven solutions that remove friction from developer workflows while mentoring and upskilling engineers across IT.

What you'll do:

  • Lead technical strategy and delivery for platforms, tools, and workflows that improve developer productivity, quality, and satisfaction across GM.
  • Design and implement golden paths (opinionated, paved-road workflows) for shipping software-covering repo structure, CI/CD, testing, security, observability, and deployment.
  • Build automation and self-service capabilities that reduce manual toil (e.g., environment provisioning, pipeline setup, guardrail enforcement, standards checks).
  • Embed AI into engineering workflows, including agents and copilots that assist with planning, coding, testing, documentation, and operations.
  • Partner with product, security, infra, and application teams to understand pain points and translate them into concrete platform and tooling improvements.
  • Act as a multiplier and mentor across the organization, coaching engineers and providing guidance on software engineering, AI-assisted development, and recommended practices.
  • Define and track outcome-focused metrics (e.g., lead time for changes, PR cycle time, change failure rate, developer satisfaction) and use data to guide investments.
  • Contribute to and influence engineering standards, patterns, and reference architectures used across Core IT and beyond.

What you bring:

  • Proven experience as a Staff Engineer or senior technical leader driving technical strategy and execution across multiple teams.
  • Strong systems thinking and product mindset-you treat developers as customers and design solutions that are intuitive, resilient, and maintainable.
  • AI-native mindset: experience using and integrating AI/ML into engineering workflows (e.g., AI coding assistants, agentic workflows, intelligent automation), or strong evidence you can ramp quickly.
  • Track record of technical leadership without formal authority: mentoring others, leading design reviews, influencing roadmaps, and driving cross-team alignment.
  • Excellent communication skills, with the ability to articulate technical tradeoffs and build trust with engineers, managers, and partners.

Qualifications:

  • 8+ years of experience in software development.
  • Strong proficiency in at least one modern language (e.g., Java, Go, C#, Python, TypeScript) and in designing, building, and operating distributed systems in production.
  • Deep experience designing and operating modern CI/CD pipelines and release processes, including build, test, deploy, release strategies, rollback, and environment promotion.
  • Hands-on experience with developer platforms and SDLC tooling (e.g., GitHub/GitLab, CI/CD systems, Jira/ADO, artifact repositories, secrets management, feature flags).
  • Solid understanding of at least one major cloud platform (Azure/AWS/GCP) and infrastructure as code (Terraform, Bicep, CloudFormation, etc.).
  • Strong understanding of security, compliance, and governance concerns for developer platforms (RBAC, auditability, data boundaries).
  • Experience with migration and modernization (on-prem cloud, legacy modern pipelines, tool consolidation).

What Will Give You A Competitive Edge (Preferred Qualifications):

  • Experience in platform engineering, SRE, or internal developer platforms.
  • Background in large, regulated, or safety-critical environments where security, compliance, and reliability are first-class concerns.
  • Prior work in Developer Experience / Developer Productivity / DevTools organizations.

Gm does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need gm immigration sponsorship (e.g., h-1b, tn, stem opt, etc.) Now or in the future.
#LI-CK1

    About GM

    Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

    Why Join Us

    We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

    Benefits Overview

    From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

    Non-Discrimination and Equal Employment Opportunities (U.S.)

    General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

    All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

    We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

    Accommodations

    General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

    What General Motors employees say

    Pay

    Benefits

    Hours and flexibility

    Workplace

    Get the full story on Breakroom

    General Motors logo

    About General Motors

    Sourced by ZipRecruiter

    General Motors is a company with global scale and capabilities, headquartered in Detroit, Michigan, with employees around the world. The company employs over 165,000 people, serves six continents, operates across 22 time zones, and has a diverse workforce speaking 75 languages1. GM’s vision is to drive the world forward by pioneering innovations that move and connect people to what matters. The company is working towards an all-electric future with its new Ultium Platform and is pushing transportation options beyond our wildest imaginations with autonomous vehicles. GM is also committed to becoming the most inclusive company in the world.

    Industry

    Transportation equipment manufacturing

    Company size

    10,000+ Employees

    Headquarters location

    Detroit, MI, US

    Year founded

    1908

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