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Remote Databricks Data Engineer Jobs in Waterford, MI

123Net

Data Engineer

Southfield, MI · On-site +1

$105K - $126K/yr

Requirements 4+ years in data engineering, analytics engineering, or data science building ... The company is also open to a remote arrangement for candidates based in the U.S., with periodic ...

New

123Net

Data Engineer

Southfield, MI · On-site +1

$105K - $126K/yr

Requirements 4+ years in data engineering, analytics engineering, or data science building ... The company is also open to a remote arrangement for candidates based in the U.S., with periodic ...

New

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 · 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 ...

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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 28, 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 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:

Remote Databricks Data Engineer jobs near you

Program Manager - Data, AI, Databricks

Detroit, MI • Remote

1 point system
IT Services • 51 - 200 employees
Learn more about 1 point systemexternal

Contractor

Re-posted 16 days ago

Job description

About the Role

  • We are seeking a highly experienced Techno-Functional Program Manager to lead and manage end-to-end program delivery with a strong focus on onsite-offshore coordination. The ideal candidate will bring deep expertise in Data, Databricks, and AI initiatives, along with proven capability in handling complex, cross-functional technical programs.
  • This role requires both strategic leadership and hands-on execution, ensuring successful alignment between business objectives and technology delivery.

Key Responsibilities

  • Lead and manage large-scale data and AI programs from initiation to delivery.
  • Act as a bridge between business stakeholders and technical teams, ensuring clear communication and alignment.
  • Drive onsite-offshore coordination, ensuring seamless collaboration across geographically distributed teams.
  • Oversee program planning, execution, risk management, and delivery timelines.
  • Manage Databricks-based data platforms and solutions, ensuring scalability and performance.
  • Define program governance structures, KPIs, and reporting mechanisms.
  • Work closely with architects and engineering teams to guide data, analytics, and AI solution design.
  • Ensure adherence to quality, compliance, and security standards.
  • Identify and mitigate risks, dependencies, and bottlenecks proactively.
  • Provide regular updates to leadership and stakeholders on program status, risks, and outcomes.
  • Drive continuous improvement in delivery processes and best practices.

Must-Have Skills

  • 12+ years in IT with strong Program Management experience
  • Databricks
  • Data Engineering / Data Platforms
  • AI/ML Programs
  • Proven experience managing global delivery models
  • Strong stakeholder management & communication skills
  • Experience with Agile / Hybrid delivery models