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Remote Sql Data Engineer Jobs in Michigan (NOW HIRING)

Senior Data Engineer

Troy, MI ยท On-site +1

$100K - $136K/yr

Data Modeling & SQL: Design optimized analytical models (BigQuery) and maintain complex SQL assets ... Fully remote work: work from your home or other private, secured area to help fit your lifestyle

SQL Tutor

Detroit, MI ยท Remote

$18 - $40/hr

Emphasizes practical data retrieval skills and connects SQL to business intelligence, application development, and data engineering workflows. * Curriculum Awareness & Adaptive Instruction: Familiar ...

SQL Tutor

Kalamazoo, MI ยท Remote

$18 - $40/hr

Emphasizes practical data retrieval skills and connects SQL to business intelligence, application development, and data engineering workflows. * Curriculum Awareness & Adaptive Instruction: Familiar ...

SQL Tutor

Ann Arbor, MI ยท Remote

$18 - $40/hr

Emphasizes practical data retrieval skills and connects SQL to business intelligence, application development, and data engineering workflows. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Bachelor's degree in Data Science, Engineering, Mathematics, Computer Science, Operations Research ... Experience building and maintaining data pipelines using SQL and cloud-based data platforms (e.g ...

AI Engineer

Detroit, MI ยท On-site +1

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 ...

... programming, along with the ability to translate complex findings into clear business ... Master-level tool knowledge (e.g., SQL, Python, AWS, DataRobot, AnyLogic, and other simulation ...

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Remote Sql Data Engineer information

What does a remote SQL data engineer do?

A Remote SQL Data Engineer designs, develops, and maintains databases and data pipelines using SQL technologies, all while working from a remote location. They are responsible for ensuring data is collected, stored, and retrieved efficiently and securely. Their work often involves writing complex SQL queries, optimizing database performance, and collaborating with other teams to support data-driven decision-making. They may also manage ETL (Extract, Transform, Load) processes and help integrate data from multiple sources to support analytics and business intelligence.

What are the key skills and qualifications needed to thrive as a remote SQL data engineer?

To thrive as a Remote SQL Data Engineer, you need strong proficiency in SQL, data modeling, and ETL processes, often supported by a degree in computer science or a related field. Experience with database management systems like Microsoft SQL Server, PostgreSQL, or MySQL, as well as tools such as SSIS or cloud platforms like AWS and Azure, is typically required. Excellent problem-solving skills, attention to detail, and effective communication are essential soft skills for collaborating remotely and conveying technical information. These abilities are important to ensure accurate data management, seamless data integration, and reliable performance in a distributed work environment.

How does a remote SQL data engineer typically collaborate with cross-functional teams to ensure data integrity and project success?

As a Remote SQL Data Engineer, you will frequently work with data analysts, software developers, and business stakeholders to understand data requirements, design robust database solutions, and troubleshoot data issues. Collaboration often occurs through virtual meetings, project management tools, and shared documentation platforms. Clear communication and proactive updates are essential, as you'll need to ensure that data pipelines are reliable and align with the needs of both technical and non-technical team members. Regular code reviews and knowledge-sharing sessions help maintain data integrity and foster a cohesive remote team environment.

What is the difference between Remote Sql Data Engineer vs Remote Data Analyst?

AspectRemote Sql Data EngineerRemote Data Analyst
Required SkillsSQL, ETL, data modeling, database managementSQL, data visualization, reporting, statistical analysis
CertificationsSQL certifications, data engineering coursesData analysis certifications, Tableau, Excel
Work EnvironmentData pipelines, database systems, cloud platformsData interpretation, dashboards, business insights
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, consulting

Remote Sql Data Engineers focus on building and maintaining data infrastructure, while Remote Data Analysts interpret data to provide insights. Both roles require SQL skills and often overlap in data handling, but differ in their core responsibilities and tools used.

What are the most commonly searched types of Sql Data Engineer jobs in Michigan?

The most popular types of Sql Data Engineer jobs in Michigan are:

What job categories do people searching Remote Sql Data Engineer jobs in Michigan look for?

The top searched job categories for Remote Sql Data Engineer jobs in Michigan are:

What cities in Michigan are hiring for Remote Sql Data Engineer jobs?

Cities in Michigan with the most Remote Sql Data Engineer job openings:

Senior Data Engineer

Troy, MI โ€ข On-site, Remote

$100K - $136K/yr

Full-time

Medical, Retirement, PTO

Posted 13 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.