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Remote Databricks Data Engineer Jobs in Columbus, OH

Data Engineer Databricks (Remote)

Columbus, OH ยท Remote

$110K - $132K/yr

Data Engineering & Pipelines * Build scalable, production-grade ETL/ELT pipelines using Databricks, including PySpark, Spark SQL, Delta Live Tables, and Workflows. * Ingest structured, semi ...

Data Engineer

Columbus, OH ยท Remote

$110K - $132K/yr

Of note, our Data Engineering Team is a highly technical group of results driven Engineers ... The ideal candidate brings strong Databricks expertise, experience working with large-scale ...

New

Data Engineer

Columbus, OH ยท Remote

$110K - $132K/yr

Of note, our Data Engineering Team is a highly technical group of results driven Engineers ... The ideal candidate brings strong Databricks expertise, experience working with large-scale ...

New

Data Engineer

Columbus, OH ยท Remote

$110K - $132K/yr

Of note, our Data Engineering Team is a highly technical group of results driven Engineers ... The ideal candidate brings strong Databricks expertise, experience working with large-scale ...

New

Data Architect, Databricks

Columbus, OH ยท On-site +1

$61.50 - $79.25/hr

You will partner closely with engineering, analytics, governance, and business teams to deliver ... full-remote candidate. * McKesson complies with all applicable U.S. immigration laws and ...

Data Architect, Databricks

Columbus, OH ยท On-site +1

$61.50 - $79.25/hr

You will partner closely with engineering, analytics, governance, and business teams to deliver ... full-remote candidate. * McKesson complies with all applicable U.S. immigration laws and ...

Senior Data Engineer

Dublin, OH ยท Remote

$91K - $163K/yr

Work with engineering leadership to implement and support inbound data integrations to ingest data ... Databricks experience and/or certifications - Lake House, Delta Lake, Unity Catalog, pipeline ...

Data Engineer Lead-1

Columbus, OH ยท On-site +1

$110K - $132K/yr

The Data Engineer Lead plays a pivotal role in building and operationalizing the minimally ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

New

Whether you're engineering advanced materials, transforming manufacturing technologies, or leading ... Develop and operationalize analytics and ML solutions using Databricks (Python / SQL / PySpark) for ...

Whether you're engineering advanced materials, transforming manufacturing technologies, or leading ... Develop and operationalize analytics and ML solutions using Databricks (Python / SQL / PySpark) for ...

Microsoft Fabric Data Architect

Columbus, OH ยท Remote

$65.25 - $84/hr

Strong knowledge of Azure data services including Data Factory, Synapse, Azure Storage, ADLS Gen2, Azure SQL, Azure Databricks, and Purview. * Proficiency in data governance, security, DevOps, FinOps ...

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Remote Databricks Data Engineer information

See Columbus, OH salary details

$43K

$125.3K

$171.4K

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

As of Jul 19, 2026, the average yearly pay for remote databricks data engineer in Columbus, OH is $125,293.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,600.00 and $132,800.00 per year, depending on experience, location, and employer.

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

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 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 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 the most commonly searched types of Databricks Data Engineer jobs in Columbus, OH? The most popular types of Databricks Data Engineer jobs in Columbus, OH are:
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Data Engineer Databricks (Remote)

Data Engineer Databricks (Remote)

ComResource

Columbus, OH โ€ข Remote

$110K - $132K/yr

Full-time

Posted 16 days ago


Job description

ComResource is looking for a Data Engineer โ€“ 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:

  • 7โ€“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