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Remote Databricks Data Engineer Jobs in Michigan

Cloud Data Engineer

Detroit, MI · On-site +1

$113.40K - $136.10K/yr

Experience using Apache Spark (Databricks on Azure preferred). * Experience with Airflow or similar ... The location may be based in Detroit or fully remote. * Occasional evening, weekend, and holiday ...

Principal Data Engineer

Ann Arbor, MI · On-site +1

$170K - $210K/yr

Background working with visualization tools connected to Databricks (Databricks Dashboards, Tableau ... engineering pipelines, feature stores, or model input data preparation Salary Range: $170,000 to ...

... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a Databricks Engineer on the AI & Data team, you will be responsible for... * Build, configure, and ...

Senior Data Engineer

Grand Rapids, MI · On-site +1

$101.80K - $138.30K/yr

... Databricks, or equivalent) and a production-grade orchestrator (Airflow, Dagster, Prefect, or ... Remote worker reimbursement of $300/year * Professional development reimbursement * Competitive pay

Associate Data Engineer

Mason, MI · On-site +1

$14 - $18.25/hr

On-site role | No relocation or remote work available This role is not eligible for visa ... in data engineering? Apply today. Overview: Dart makes everyday products that give people the ...

... engineering teams and modernizing technology & data platforms. Our delivery models are tailored to ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

Our Engineering and Analytics Team Members utilize the latest technology to develop, monitor, and ... Hands-on Databricks experience including Unity Catalog, Delta Lake, and lakehouse architecture ...

Lead Azure Data Engineer

Rockford, MI · Remote

$91.30K - $120.20K/yr

The Lead Azure Data Engineer operates as a technology expert and architect responsible for the ... Must be located in Eastern on Central Time Zones. #LI-Remote #LI-MM1 Salary Minimum $128,000.00 ...

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Remote Databricks Data Engineer information

What are the key skills and qualifications needed to thrive as a Remote Databricks Data Engineer, and why are they important?

To thrive as a Remote Databricks Data Engineer, you need a solid background in data engineering, strong programming skills in Python or Scala, and experience with big data frameworks, often supported by a degree in computer science or a related field. Proficiency with Databricks, Apache Spark, cloud platforms (such as AWS or Azure), and relevant certifications like Databricks Certified Data Engineer are highly valuable. Strong problem-solving abilities, effective remote communication, and collaboration skills set top performers apart in distributed teams. These skills and qualities ensure efficient data pipeline development, seamless integration, and successful project delivery in remote environments.

What are some common challenges faced by remote Databricks Data Engineers and how can they be addressed?

Remote Databricks Data Engineers often encounter challenges such as coordinating efficiently with distributed teams, managing access to secure data environments, and ensuring smooth pipeline deployments across different cloud platforms. To overcome these, it's important to leverage communication tools for regular check-ins, follow strict data governance protocols, and utilize collaborative features in Databricks such as shared notebooks and version control. Proactively documenting your work and staying updated with platform updates can also help streamline remote collaboration and problem-solving.

What is a Remote Databricks Data Engineer?

A Remote Databricks Data Engineer is a professional who designs, develops, and manages large-scale data processing systems using the Databricks platform, often working from a remote location. They focus on building data pipelines, integrating data sources, and optimizing workflows for analytics and machine learning, leveraging tools like Apache Spark within Databricks. These engineers collaborate with data scientists, analysts, and other stakeholders to ensure data is accessible, reliable, and scalable for business needs. Remote roles offer flexibility in work location while still requiring strong communication and technical skills.
What are the most commonly searched types of Databricks Data Engineer jobs in Michigan? The most popular types of Databricks Data Engineer jobs in Michigan are:
What are popular job titles related to Remote Databricks Data Engineer jobs in Michigan? For Remote Databricks Data Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Remote Databricks Data Engineer jobs in Michigan look for? The top searched job categories for Remote Databricks Data Engineer jobs in Michigan are:
What cities in Michigan are hiring for Remote Databricks Data Engineer jobs? Cities in Michigan with the most Remote Databricks Data Engineer job openings:
Infographic showing various Remote Databricks Data Engineer job openings in Michigan as of May 2026, with employment types broken down into 84% Full Time, 15% Part Time, and 1% Temporary. Highlights an 93% Physical, and 7% Hybrid job distribution.
Data Engineer / Senior Data Engineer

Data Engineer / Senior Data Engineer

GreenStone Farm Credit Services

East Lansing, MI • On-site, Remote

$150/day

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago


Job description

Are you passionate about building smart data systems that power big decisions? We're looking for a Data Engineer who's ready to roll up their sleeves and help us take our data platform to the next level. If you thrive on solving complex problems, designing clean data flows, and making data work harder (and smarter) - let's talk.

 

Get to know GreenStone

Our $16 billion portfolio of customers, ranging from rural homeowners to global agriculture and food businesses, provides our employees with a unique opportunity to maintain a local presence while working for a top workplace. Our diverse business structure provides exciting opportunities for passionate, talented professionals in many areas. Additionally, many of our team members are highly respected in their area of expertise at both the state and national level making GreenStone one of the top Farm Credit associations in the country.

 

Culture

 

Core Four values steer everything we do at GreenStone. Customer First, Deliver Quality, Get involved, Do the right thing. Employees work as a team to create a company fueled by the desire to best serve each other and our customers every day. Greenstone culture promotes innovative thinking, professional development, health and wellness, and a relaxed work environment with flexible schedules.

 

What can we offer you?

 

GreenStone trusts the people we hire. We empower employees to make the best decisions for the customer and the company.

 

GreenStone has an outstanding Total Rewards package, which includes, but is not limited to:

  • 15 vacation days, 12 sick days, and 12 paid holidays per year
  • 16 hours of volunteer time
  • Paid parental leave
  • 401(k) plan - up to a 9% employer contribution/match
  • Medical, Dental, Vision, STD, LTD, Life/AD&D benefits, etc.
  • $150/year Logo Wear allowance
  • $400/year Wellness Subsidy/Reimbursement & wellness programs
  • $6,000 lifetime maximum Student Debt repayment program
  • Yearly bonus/incentive opportunity available to all benefit eligible employees

What You'll Do:

  • Design and build scalable, secure, and resilient data pipelines that make data flow smoothly from source to insight.
  • Own and enhance our enterprise Business Intelligence platform - making sure it's optimized, reliable, and future-ready.
  • Partner with Finance and IT teams to turn raw data into meaningful stories and actionable insights.
  • Lead the charge on ETL processes (designing, managing, tuning, and monitoring) to keep our data world in motion.
  • Be a performance guru - optimizing queries, tuning databases, and staying a step ahead of bottlenecks.
  • Automate reporting workflows, ensure data quality, and bring fresh thinking to every step of the data journey.
  • Keep us on the bleeding edge - exploring new technologies and stream-processing systems in cloud environments (AWS or Azure).
  • Maintain top-notch documentation and follow best practices in data warehousing, security, and compliance.

 

What Experience can you Bring?

  • Bachelor's degree in Computer Science, Information Systems, Business Administration, Finance, or a related field is required.
  • 1+ years of professional experience developing data warehouses is required.
  • Experience working with Microsoft BI tools (SSIS, SSAS, SSRS, Power BI)
  • Strong in SQL programming and Kimball data warehouse modeling.
  • Master of the Databricks platform and Python programming, certifications preferred
  • A team player mindset - you listen, collaborate, and help make others better.

Tech You'll Use:

  • Microsoft BI Platform (SSIS, SSAS, SSRS, Power BI)
  • Azure / AWS
  • Databricks, Delta Lake, Lakehouse, Unity Catalog
  • Python programming
  • SQL Server, ETL frameworks, Data Lakes
  • Agile tools + modern collaboration platforms

 

Why You'll Love It Here:

  • Impact: Your work directly influences critical business decisions.
  • Growth: Learn new tools, explore new ideas, and evolve your career in a supportive environment.
  • Culture: Collaborative, inclusive, and innovation-driven.
  • Flexibility: Hybrid and remote work options to support your best work style.

 

GreenStone Farm Credit Services is an equal opportunity employer. It is our policy to provide equal employment opportunity to all persons regardless of race, color, religion, national origin, sex, sexual orientation, gender identity, age, disability, veteran status, genetic information, or any other characteristic protected by law. We comply with all federal, state and local equal employment opportunity regulations. We conduct all personnel decisions and processes relating to our employees and job applicants in an environment free of discrimination and harassment.