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Senior Data Analytics Engineer Jobs in Michigan (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 ... Design optimized analytical models (BigQuery) and maintain complex SQL assets (BigQuery, PostgreSQL ...

BISSELL Homecare

Sr. Data Engineer

Grand Rapids, MI · On-site

$110K - $132K/yr

Working closely with Data Engineers, BI analysts, business stakeholders, and external consultants ... The Sr. Data Engineer must be a strong problem solver and multitasker who thrives managing multiple ...

K Anand Corporation

Senior Data Engineer

Detroit, MI · On-site

$97K - $131K/yr

Senior Data Engineer Location: Detroit, MI (Onsite) 12 Months Contract W2 Role Summary We are ... You will collaborate across engineering, analytics, and business teams in an Agile delivery model.

Stellantis

Data Engineer

Auburn Hills, MI

$108K - $130K/yr

The AI & Data Analytics Team is looking for a Senior Data Engineer to join our team. In this role, you will be responsible for designing, building, and optimizing robust data pipelines that process ...

Mariana Minerals

Sr. Data Engineer

Ann Arbor, MI · On-site

$140K - $200K/yr

As a Senior Data Engineer at Mariana, you'll own a data domain end-to-end-designing the pipelines ... Model time-series and analytical plant data for both human analysis and machine learning training ...

Stellantis

Senior Data Engineer

Auburn Hills, MI · On-site

$100K - $136K/yr

About the Role Join the Supply Chain AI Hub as a Senior Data Engineer helping turn AI ambition into ... Ability to collaborate effectively with analytics, AI, and software engineering teams Our Benefits ...

Mariana Minerals

Sr. Data Engineer

Ann Arbor, MI · On-site

$103K - $140K/yr

They are seeking a Senior Data Engineer to design and build data pipelines that ensure the ... analytical results--including schema design, orchestration, reliability, and the contract it ...

Robert Half

Sr Data Engineer

Southfield, MI · On-site

$96K - $131K/yr

Our client is looking for a Senior Data Engineer to lead the development of a scalable enterprise data environment that supports reporting, analytics, and informed decision-making across a nationwide ...

Stantec

Senior Data Architect

Detroit, MI · On-site

$66.50 - $89/hr

Senior Data Architect We are seeking a Senior Data Architect to join a project team that will be ... developers, Business Analysts, and Project Management - to plan and execute PM2PA data-related ...

Corning

$104K - $125K/yr

... analytics, artificial intelligence, and data-driven decision-making? Join Corning's Optical ... As a Senior Data Engineer, you will design, build, optimize, and maintain scalable data pipelines ...

Orbion Space Technology

Senior Data Engineer

Houghton, MI · On-site

$90K - $122K/yr

Job Type Full-time Description SENIOR DATA ENGINEER Orbion is seeking a Senior Data Engineer/Software Developer Orbion help build and maintain Orbion's internal application platform and enterprise ...

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

The AI & Data Analytics Team is looking for a Senior Data Engineer to join our team. In this role, you will be responsible for designing, building, and optimizing robust data pipelines that process ...

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All JobsData Analytics Engineer JobsSenior Data Analytics Engineer JobsSenior Data Analytics Engineer Jobs in Michigan

Senior Data Analytics Engineer information

See Michigan salary details

$70.6K

$110.1K

$152.5K

How much do senior data analytics engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for senior data analytics engineer in Michigan is $110,107.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,400.00 and $125,500.00 per year, depending on experience, location, and employer.

What does a senior data analytics engineer do?

A Senior Data Analytics Engineer is responsible for designing, developing, and maintaining scalable data pipelines and analytical solutions. They work closely with data scientists, analysts, and business stakeholders to gather requirements and ensure data quality and availability. Their role often includes optimizing data workflows, implementing best practices in data management, and mentoring junior team members. Additionally, they help translate business needs into technical solutions to support data-driven decision making.

How does a senior data analytics engineer typically collaborate with cross-functional teams to deliver insights?

As a Senior Data Analytics Engineer, you will frequently work with stakeholders in product, marketing, and engineering to translate business needs into data solutions. This involves gathering requirements, designing and building data pipelines, and presenting actionable insights. Effective communication and regular meetings with team members ensure that data models and dashboards align with business objectives. You may also mentor junior analysts and engineers, fostering a collaborative and knowledge-sharing environment.

What are the key skills and qualifications needed to thrive as a senior data analytics engineer, and why are they important?

To thrive as a Senior Data Analytics Engineer, you need expertise in statistics, data modeling, and programming languages such as Python or SQL, typically backed by a degree in computer science, engineering, or a related field. Experience with data analytics tools (e.g., Tableau, Power BI), cloud platforms (e.g., AWS, Azure), and relevant certifications like Google Data Engineer are highly valued. Strong problem-solving, communication, and leadership skills help you translate complex data insights into actionable business strategies and mentor junior team members. These capabilities are crucial for delivering accurate data-driven solutions that drive organizational decision-making and innovation.

What is the difference between Senior Data Analytics Engineer vs Data Scientist?

AspectSenior Data Analytics EngineerData Scientist
CredentialsBachelor's/Master's in Data Science, Computer Science, or related fieldsBachelor's/Master's in Data Science, Statistics, or related fields
Work EnvironmentFocus on data pipelines, analytics tools, and reporting systemsFocus on model development, statistical analysis, and predictive modeling
Industry UsageUsed in analytics teams to build data infrastructure and insightsUsed in R&D, product development, and research teams for modeling

While both roles require strong analytical skills and similar educational backgrounds, Senior Data Analytics Engineers primarily focus on building and maintaining data infrastructure and delivering insights through analytics tools. Data Scientists, on the other hand, concentrate on developing predictive models and statistical analysis. The roles often collaborate but serve different functions within data-driven organizations.

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

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

What are popular job titles related to Senior Data Analytics Engineer jobs in Michigan?

For Senior Data Analytics Engineer jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Senior Data Analytics Engineer jobs in Michigan look for?

The top searched job categories for Senior Data Analytics Engineer jobs in Michigan are:

What cities in Michigan are hiring for Senior Data Analytics Engineer jobs?

Cities in Michigan with the most Senior Data Analytics Engineer job openings:

Senior Data Analytics Engineer jobs near you
Infographic showing various Senior Data Analytics Engineer job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 12% Part Time, 1% Temporary, and 5% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $110,107 per year, or $52.9 per hour.

Senior Data Engineer

Protera Health

Troy, MI • On-site, Remote

$100K - $136K/yr

Full-time

Medical, Retirement, PTO

Posted 20 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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