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

Protera Health

Senior Data Engineer

Troy, MI · On-site +1

$100K - $136K/yr

About the Role As a hands-on Senior Data Engineer on a small team, you will build and scale the ... Fully remote work: work from your home or other private, secured area to help fit your lifestyle

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 ...

Kobie Marketing

AI Engineer

Detroit, MI · Remote

As a remote-first organization headquartered in St. Petersburg, Florida, Kobie values meaningful in ... Partner with data engineers on Snowflake backed retrieval patterns (Cortex Analyst and Cortex ...

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

Remote Data Engineer information

See Farmington, MI salary details

$43.8K

$127.6K

$174.7K

How much do remote data engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for remote data engineer in Farmington, MI is $127,642.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,700.00 and $135,300.00 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 Farmington, MI?

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

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

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

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

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

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

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

Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Farmington, MI as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $127,642 per year, or $61.4 per hour.

Senior Data Engineer

Protera Health

Troy, MI • On-site, Remote

$100K - $136K/yr

Full-time

Medical, Retirement, PTO

Posted 7 days ago

Job description

About Protera Health
Protera Health is a musculoskeletal (MSK) specialty care company. We partner with health plans, health systems, and employers to deliver coordinated, measurable MSK care - reducing unnecessary surgery and imaging while getting people back to full function faster. Our clinical model combines specialist physicians, physical therapy, and digital care navigation, wrapped in a technology platform that connects patients, clinicians, and payer partners.
This is not a narrow engineering job, an architecture-only role, or a 40-hour-per-week clock-in, clock-out position. We care about ownership, sound judgment, velocity, and outcomes. The right person will have founder-level autonomy, direct access to leadership, and the opportunity to build core systems that affect real patients, clinicians, and healthcare partners.
About the Role
As a hands-on Senior Data Engineer on a small team, you will build and scale the data platform driving Protera's clinical operations, payer reporting, and analytics. This is a senior individual contributor role reporting to the President. In this role, you will collaborate cross-functionally with clinical, technology, finance, and compliance teams. This role is 100% hands-on; you are expected to be the full technical lead for your domain, not one of several engineers on a layered team.
We are seeking a highly capable data engineer with a specialized background in healthcare data and claims processing.
  • Core Technical Stack: In this role, you will lead the development and day-to-day function of the data platform supporting our clinical, business intelligence, and artificial intelligence operations. This is a hands-on, full-stack data role; your responsibilities will span constructing data pipelines, developing and maintaining backend architecture, and integrating modern AI-driven development tools. Experience with production Python, Terraform, GCP infrastructure, CI/CD, and pipeline observability are required.
  • Experience with Healthcare Claims Data: We are looking for someone with deep expertise with PHI and Healthcare claims data.
  • AI Philosophy: We encourage the responsible use of AI development tools but strictly prohibit inputting PHI. You will champion the safe AI principles fundamental to our engineering culture.
Key Responsibilities
  • Pipeline Engineering: Build and orchestrate (via Mage) ingestion pipelines (SFTP, APIs, EHR extracts) and write production-grade Python for transformations, reporting, and internal tooling.
  • Data Modeling & SQL: Design optimized analytical models (BigQuery) and maintain complex SQL assets (BigQuery, PostgreSQL), balancing scale, performance, and cost.
  • Infrastructure as Code: Own and manage GCP infrastructure (Compute Engine, Cloud SQL, Cloud Storage, Functions, Secret Manager, VPC, IAM) entirely via Terraform.
  • Observability: Implement robust data quality checks, freshness/volume monitoring, failure alerts, and incident response paths.
  • Business Intelligence & Reporting: Develop and maintain internal reporting surfaces (Looker Studio, Grafana, Metabase).
  • Security & Compliance: Design pipelines that adhere to requirements surrounding PHI, ensuring minimum-necessary access, encryption, least-privilege IAM, and audit logging to support our SOC 2 Type 2, HIPAA, and HITRUST compliance initiatives.
  • Cross-Functional Strategy: Collaborate with team members within clinical operations, product, finance, etc. to translate business questions into reliable data products, while contributing to the architecture for future AI/ML initiatives (data preparation, feature engineering).
Required Qualifications
  • Experience: 5+ years in data engineering, analytics engineering, or a hybrid backend/data role.
  • Education: Bachelor's in Computer Science or a related field or equivalent experience.
  • Software Fundamentals: Ability to write, test, debug, ship production code, and utilize structured logging and dependency management.
  • Demonstrated experience working with healthcare claims data
  • Python & SQL Proficiency: Deep expertise in production data pipelines, window functions, CTEs, and query/cost optimization for large tables.
  • GCP Ecosystem: Hands-on experience with BigQuery, Cloud Storage, Cloud SQL, Compute Engine, Functions, Logging/Monitoring, Secret Manager, and IAM.
  • PostgreSQL: Production experience encompassing schema design, indexing, and diagnosing slow queries.
  • Orchestration & BI: Experience with modern orchestrators (Mage, Airflow, Dagster, dbt) and BI layers (Looker Studio, Power BI, semantic modeling).
  • Security & AI Ethics: Demonstrated care handling sensitive data in regulated environments, paired with sound judgment regarding when (and when not) to use AI-assisted coding tools.
Beneficial Experience ("Nice to Have")
  • Startup Experience: Proven success thriving in fast-paced, lean environments with high autonomy and end-to-end ownership of technical outcomes.
  • Continuous Tech Evaluation: A "lifelong learner" mindset with the ability to evaluate and responsibly integrate emerging data technologies.
  • Healthcare Domain Knowledge: Familiarity with X12 EDI, payer file formats, HL7/FHIR, EHR integrations (Healthie is a strong plus), and HIPAA regulations.
  • Analytics Background: Foundational data science or basic data analytics skills.
Why Protera
  • Lead and shape a growing multidisciplinary clinical organization.
  • Build the systems that determine how patients experience their care.
  • Work directly with experienced clinical, operational, and technology leaders.
  • Fully remote work: work from your home or other private, secured area to help fit your lifestyle
  • Competitive compensation, equity and bonus opportunities based on your experience and results delivered
  • Paid Time Off (PTO): Generous paid time off that includes vacation days and holidays
  • Equity options to benefit from company growth
  • Healthcare benefits and 401(k) retirement plan to keep you well and planning for the future
  • Being part of a mission-driven company focused on delivering the care we would want for our own families.

Compensation: This role offers a base salary of $135,000 - $195,000, depending on experience and qualifications
Note: This job description is intended as a guideline and may evolve based on organizational needs. Additional responsibilities may be assigned as needed based on business considerations. Compensation may vary from the target range and is based on multiple factors, including individual experience, location, pay-equity considerations, and other relevant considerations.
Protera Health is an equal opportunity employer. We encourage respect and harmony among employees and prohibit harassment or discrimination of any kind.

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