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Remote Databricks Jobs in Canton, MI (NOW HIRING)

TMS

Databricks Architect

Troy, MI · Remote

$66.25 - $87/hr

Troy, MI- Remote Minimum exp.- 14-15 yrs. Role Overview We are looking for a Databricks Architect to design and lead modern Lakehouse data platforms using Databricks. The role focuses on building ...

Deloitte

Databricks Manager

Detroit, MI · On-site +1

As an experienced Databricks Manager you will have the ability to share new ideas and collaborate ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

Strategic Employment

Palantir, Data Engineer

Detroit, MI · Remote

$113K - $135K/yr

A healthcare company based in the Midwest is looking to hire a remote Data Engineer with some ... Technical experience with Foundry, Databricks, Snowflake is preferred, but not required. A ...

Strategic Employment

Palantir, Data Engineer

Detroit, MI · Remote

$113K - $135K/yr

A healthcare company based in the Midwest is looking to hire a remote Data Engineer with some ... Technical experience with Foundry, Databricks, Snowflake is preferred, but not required. A ...

Reliable Software Resources

Sr. AI Data Engineer

Detroit, MI · On-site +1

$104K - $125K/yr

Detroit,MI (Remote + 50% Travel) Qualifications:- * Design and build scalable data pipelines for ... Evaluate and support migration to Databricks or modern analytics platforms. * Improve system ...

Utilidata

Principal Data Engineer

Ann Arbor, MI · On-site +1

$170K - $210K/yr

Background working with visualization tools connected to Databricks (Databricks Dashboards, Tableau, Sigma, Power BI) * Experience with data collection from edge devices * Experience supporting ML ...

All JobsRemote Databricks JobsRemote Databricks Jobs in Canton, MI

Remote Databricks information

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

To thrive as a Remote Databricks Engineer, you need a strong background in data engineering, cloud computing (especially Azure or AWS), and proficiency in languages like Python or Scala, often supported by a degree in computer science or a related field. Familiarity with Databricks platform tools, Spark, SQL, and relevant certifications such as Databricks Certified Data Engineer Associate are typically required. Strong problem-solving, communication, and self-motivation skills help you excel in remote and collaborative data-driven environments. These skills are essential for efficiently designing scalable data solutions and collaborating virtually to drive business value.

How does a remote Databricks engineer typically collaborate with cross-functional teams?

As a remote Databricks engineer, you will frequently work with data scientists, analysts, and other engineers through virtual collaboration tools such as Slack, Jira, and Zoom. Regular stand-up meetings, code reviews, and shared documentation platforms help maintain alignment across distributed teams. You'll often contribute to shared Databricks notebooks and participate in sprint planning to ensure data pipelines and analytics workflows meet business requirements. Effective communication and proactive documentation are key to successful remote collaboration in this role.

What are remote Databricks jobs?

Remote Databricks jobs are positions that involve working with the Databricks data analytics platform from a location outside of a traditional office, typically from home or another remote setting. These roles often focus on developing data pipelines, analyzing big data, building machine learning models, or managing cloud infrastructure using Databricks. Employees use collaboration tools and cloud-based environments to connect with their teams and access the Databricks platform securely. Remote Databricks jobs may be available for data engineers, data scientists, machine learning engineers, and DevOps professionals. The flexibility of remote work allows professionals to collaborate with global teams while leveraging Databricks’ powerful data processing and analytics capabilities.
What job categories do people searching Remote Databricks jobs in Canton, MI look for? The top searched job categories for Remote Databricks jobs in Canton, MI are:
What cities near Canton, MI are hiring for Remote Databricks jobs? Cities near Canton, MI with the most Remote Databricks job openings:
Remote Databricks jobs near you
Databricks Architect

Databricks Architect

TMS

Troy, MI • Remote

$66.25 - $87/hr

Contractor

Posted 21 days ago

Job description

Role: Databricks Architect
Duration: 12 months
Location: Troy, MI- Remote
Minimum exp.- 14-15 yrs.
 

Role Overview

We are looking for a Databricks Architect to design and lead modern Lakehouse data platforms using Databricks. The role focuses on building scalable, high-performance data pipelines and enabling analytics and AI use cases on cloud-native data platforms.

Key Responsibilities

  • Architect and implement Databricks Lakehouse solutions for large-scale data platforms
  • Design and optimize batch & streaming data pipelines using Apache Spark (PySpark/SQL)
  • Implement Delta Lake best practices (ACID, schema enforcement, time travel, performance tuning)
  • Build and manage Databricks jobs, workflows, notebooks, and clusters
  • Enable data governance using Unity Catalog (access control, lineage)
  • Integrate Databricks with cloud data services (ADLS / S3, ADF, Synapse, etc.)
  • Support analytics, BI, and AI/ML workloads (MLflow exposure is a plus)
  • Lead solution design discussions and mentor data engineering teams

Must-Have Skills

  • 10+ years in data engineering / data architecture
  • 5+ years of strong hands-on experience with Databricks
  • Expert in Apache Spark, PySpark, SQL
  • Strong experience with Delta Lake & Lakehouse architecture
  • Cloud experience on Azure Databricks / AWS Databricks
  • Proven experience in designing high-volume, scalable data pipelines

Good-to-Have

  • Unity Catalog, MLflow, Databricks Workflows
  • Streaming experience (Kafka / Event Hubs)
  • CI/CD for Databricks (Azure DevOps / GitHub)