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Remote Databricks Data Engineer Jobs in Waterford, MI

Vision Engineer - Remote / Travel DISHER is currently partnering with a world leading automation ... If you would like more information about how your data is processed, please contact us.

Vision Engineer - Remote / Travel DISHER is currently partnering with a world leading automation ... If you would like more information about how your data is processed, please contact us.

Vision Engineer - Remote / Travel DISHER is currently partnering with a world leading automation ... If you would like more information about how your data is processed, please contact us. apply for ...

Senior Software Engineer

Detroit, MI · Remote

$121K - $159K/yr

This is a fully remote, hands-on individual contributor role with meaningful ownership across core ... Demonstrate strong data interface knowledge by designing and implementing high-performance inter ...

EDI Engineer

Troy, MI · Remote

$110K - $110K/yr

Ensure accurate data mapping and transformation within containerized applications. * Monitor ... Career development opportunities Remote Opportunities We are actively seeking new colleagues in:

New

Senior Software Engineer

Allen Park, MI · On-site +1

$113K - $192K/yr

Join us and use your data expertise and software engineering skills to drive evidence-based, timely ... remote state management and CI/CD-driven plan/apply workflows. Preferred Qualifications * Master ...

Showing results 21-40

Remote Databricks Data Engineer information

See Waterford, MI salary details

$45.2K

$131.7K

$180.2K

How much do remote databricks data engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for remote databricks data engineer in Waterford, MI is $131,658.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,200.00 and $139,600.00 per year, depending on experience, location, and employer.

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 key skills and qualifications needed to thrive as a remote Databricks data engineer?

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 are popular job titles related to Remote Databricks Data Engineer jobs in Waterford, MI?

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

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

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

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

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

Staff Software Engineer

2Bridge Partners

Detroit, MI • On-site, Remote

$170K - $200K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted yesterday


Job description

2bridge has been engaged in the search for a full-time, direct-hire Staff Software Engineer to join our client in the Marketing Tech Space. Our client provides Analytics, Customer Experience, and Lead Capture

and conversion services focused on various industries. They are looking for a talented and experienced Staff Engineer to join their team.


Our client offers a comprehensive package with a competitive salary, a collaborative environment, and full medical, dental, vision, and PTO benefits.


Technical Expertise

  • Design, develop, and maintain complex software systems using C#, .NET, Azure, AWS, or another cloud platform.
  • Implement containerization and orchestration solutions using Docker, Kubernetes, and Terraform.
  • Collaborate cross-functionally to ensure high-quality code and adherence to best practices.

Collaboration

  • Work closely with product managers, designers, and other engineers to deliver innovative solutions.
  • Contribute to architectural decisions and promote engineering excellence.
  • Participate in code reviews and mentor junior engineers.

Advanced Technical Leadership

  • Serve as the technical authority across multiple projects and modules.
  • Architect solutions and make critical technical decisions.

Mentorship and Influence

  • Mentor and guide junior and senior engineers, fostering a culture of engineering excellence.
  • Lead cross-functional initiatives to improve engineering practices and standards.


Requirements

  • Bachelor's degree in Computer Science or related field.
  • Minimum of 8 years working as a Backend Software Engineer in C#, .net, Python, Java, or other relevant languages.
  • Mastery of an object-oriented language, associated frameworks, and architecture.
  • Depth of experience building highly available data-driven applications and expertise in data modeling, data warehousing, data pipelines, etc.
  • Experience with Docker and Kubernetes or equivalent container orchestration services.
  • Extensive experience with Azure, AWS, GCP, another major cloud platform, or equivalent public cloud and cloud-native infrastructures.
  • Proficiency with platform engineering practices, including CI/CD, containerization, and infrastructure as code..
  • Experience with microservices architecture and distributed systems architecture.
  • Proven experience leading complex technical projects or initiatives.

Location

  • Open to remote or hybrid if in the Detroit metro or Ann Arbor area.