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Remote Databricks Jobs in Canton, MI (NOW HIRING)

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Remote Databricks information

What is a remote Databricks engineer?

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.

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

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.

What are the most commonly searched types of Databricks jobs in Canton, MI?

The most popular types of Databricks jobs in Canton, MI are:

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

Software Engineer II - Business Intelligence

Ann Arbor, MI • On-site, Remote

Torc Robotics
Trucking • 501 - 1,000 employees
Learn more about Torc Roboticsexternal

$95K - $130K/yr

Full-time

Posted 8 days ago

Job description

Meet the Team: 

Torc's BI team partners across the business to bring visibility and reporting that help leadership and teams make faster, better-informed decisions. This is an exciting opportunity to help define how data engineering and BI work together at Torc, with real influence over the architecture and tooling. 

What You'll Do: 

  • Design, build, and maintain ETL/ELT pipelines that power our data architecture. 
  • Structure and optimize tables and views to support fast, reliable reporting and dashboard performance. 
  • Build data quality checks, validation, and documentation so stakeholders can trust the numbers behind leadership and board-level reporting. 
  • Partner with BI analysts and business stakeholders to understand how data will be consumed downstream, translating reporting needs into data models and pipelines.
  • Support and help evolve leadership-critical deliverables, including the enterprise SPI dashboard and consolidated TES/WBR metrics reporting. 
  • Help migrate existing AWS/Athena-based data delivery to our Databricks platform. 
  • Define, instrument, and maintain business KPIs from scratch using SQL and Python. 
  • Contribute to hands-on dashboard development as interest and BI tooling needs align.

What You'll Need to Succeed: 

  • Bachelor's degree in Computer Science, Data Engineering, or a related field, with 4+ years of professional experience in data engineering or software engineering (equivalent experience considered).
  • Hands-on data engineering experience - building and maintaining ETL pipelines, data quality checks, and structuring tables vs. views for reporting performance. 
  • Proficiency in Python, PySpark, or similar for pipeline / ETL development, and experience with pandas, numpy, or other data analysis tooling. 
  • Strong SQL or similar skills. 
  • Understanding of how data is consumed downstream and willingness to work with consumers on improvements.  
  • Experience with BI tools such as Tableau, Power BI, or QuickSight. 
  • Comfort working with ambiguous, evolving requirements and partnering directly with stakeholders across the business. 

Bonus Points: 

  • Experience with the Databricks platform, particularly for serving data, visualizations, and jobs.
  • AWS experience, particularly Athena, Glue, or other managed data services. 
  • Knowledge of relational, NoSQL, vector, and data warehouse architectures. 
  • Hands-on dashboard-building experience, or strong interest in developing it. 
  • Experience scaling data for ML/AI workloads (e.g., Ray). 
  • Background in automotive, AV, robotics, or other safety-critical data environments. 

Work Location: 

Ann Arbor, MI is the hiring hub for this role; remote candidates are considered. 

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