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Remote Databricks Jobs in Ohio (NOW HIRING)

ComResource

Data Engineer Databricks (Remote)

Columbus, OH · Remote

$110K - $132K/yr

ComResource is looking for a Data Engineer - Databricks. Responsibilities: Data Engineering & Pipelines * Build scalable, production-grade ETL/ELT pipelines using Databricks, including PySpark, Spark ...

McKesson

Data Architect, Databricks

Columbus, OH · On-site +1

$61.50 - $79.25/hr

Our team is early in its Databricks maturity journey, and this hire will establish foundational ... full-remote candidate. * McKesson complies with all applicable U.S. immigration laws and ...

McKesson

Data Architect, Databricks

Columbus, OH · On-site +1

$61.50 - $79.25/hr

Our team is early in its Databricks maturity journey, and this hire will establish foundational ... full-remote candidate. * McKesson complies with all applicable U.S. immigration laws and ...

A-TEK Inc.

Health IT Data Engineer

Continental, OH · Remote

$125K - $135K/yr

This is a remote position requiring all work be performed in the continental United States. US ... Azure Data Factory, Synapse, Databricks, or Microsoft Fabric experience. * Power BI and Tableau ...

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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 are the most commonly searched types of Databricks jobs in Ohio? The most popular types of Databricks jobs in Ohio are:
What are popular job titles related to Remote Databricks jobs in Ohio? For Remote Databricks jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Remote Databricks jobs in Ohio look for? The top searched job categories for Remote Databricks jobs in Ohio are:
What cities in Ohio are hiring for Remote Databricks jobs? Cities in Ohio with the most Remote Databricks job openings:
Remote Databricks jobs near you
Infographic showing various Remote Databricks job openings in Ohio as of July 2026, with employment types broken down into 58% Full Time, and 42% Contract. Highlights an 100% Remote job distribution.
Data Engineer Databricks (Remote)

Data Engineer Databricks (Remote)

ComResource

Columbus, OH • Remote

$110K - $132K/yr

Full-time

Posted 13 days ago

Job description

ComResource is looking for a Data Engineer – Databricks.

Responsibilities:

Data Engineering & Pipelines

  • Build scalable, production-grade ETL/ELT pipelines using Databricks, including PySpark, Spark SQL, Delta Live Tables, and Workflows.
  • Ingest structured, semi-structured, and streaming data into Bronze, Silver, and Gold layers.
  • Develop optimized transformations, data quality rules, and reusable framework components.
  • Leverage built-in AI tooling for faster delivery where applicable.
  • Implement best practices for job orchestration, monitoring, alerting, and automation.

Data Modeling

  • Design and implement dimensional models including star and snowflake schemas for analytical workloads.
  • Apply normalization and denormalization strategies for performance and usability.
  • Create physical data models aligned to Delta Lake and Medallion architecture.
  • Ensure data quality, integrity, and alignment with enterprise governance policies.

Essentials:

  • 7–10+ years of experience in data engineering.
  • Proven experience building and deploying large-scale Databricks pipelines.
  • Advanced hands-on Databricks experience, including Spark, Delta Lake, Workflows, and Unity Catalog.
  • Strong understanding of Medallion architecture (Bronze/Silver/Gold).
  • Proficiency with PySpark, SQL, ETL/ELT frameworks, and Delta Lake optimizations.
  • Strong SQL programming and performance tuning skills.
  • Strong experience working with CI/CD, Git, and job orchestration tools.
  • Deep understanding of data modeling principles for warehousing and analytics.
  • Experience with cloud environments including AWS, Azure, or GCP.
  • Experience with modern data lakehouse concepts and distributed systems.

Req ID: AM71721771