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Remote Databricks Jobs in Cincinnati, OH (NOW HIRING)

Nexaminds

Technical Product Manager

Cincinnati, OH · On-site +1

$160K - $185K/yr

Familiarity with Databricks, Google Cloud Platform (GCP), or similar cloud-based data platforms ... Remote work options 🏠 * Flexible working hours 🕜 * Benefits above the law * But it's not just ...

Worldpay

Principal Data Scientist

Cincinnati, OH · On-site +1

$165K - $249K/yr

Candidates must be a US Citizen or Green Card Holder This position is remote in the Greater Boston ... Experience with cloud platforms (e.g., AWS,GCP,Snowflake, Databricks, Vertex AI) * Agile ...

Kemper

Data Scientist

Cincinnati, OH · On-site +1

Exposure to cloud platforms such as AWS, Azure, Databricks, or similar environments. * Exposure to ... Remote options are available for non-local candidate. * The range for this position is $93,300 to ...

All JobsDatabricks JobsRemote Databricks JobsRemote Databricks Jobs in Cincinnati, OH

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 popular job titles related to Remote Databricks jobs in Cincinnati, OH? For Remote Databricks jobs in Cincinnati, OH, the most frequently searched job titles are:
What job categories do people searching Remote Databricks jobs in Cincinnati, OH look for? The top searched job categories for Remote Databricks jobs in Cincinnati, OH are:
What cities near Cincinnati, OH are hiring for Remote Databricks jobs? Cities near Cincinnati, OH with the most Remote Databricks job openings:
Remote Databricks jobs near you
Infographic showing various Remote Databricks job openings in Cincinnati, OH as of July 2026, with employment types broken down into 57% Full Time, and 43% Contract. Highlights an 100% Remote job distribution.

Senior GCP Engineer with Vertex AI and MLOps - Remote (US)

Saransh Inc

Cincinnati, OH • Remote

$107K - $146K/yr

Contractor

Posted 6 days ago

Job description

Senior GCP Engineer with Vertex AI and MLOps
Remote (Cincinnati, OH)
Contract
 
Required:
  • Senior GCP engineer with atleast 7 years on project experience.
  • Worked with Vertex AI and ML/Ops.
  • Can work independently with the data science team. 
  • Overall Communication needs to be good.
Description:
  • As a Sr. Data Engineer, you will have the opportunity to lead the development of innovative data solutions, enabling the effective use of data across the organization.
  • You will be responsible for designing, building, and maintaining robust data pipelines and platforms to meet business objectives, focusing on data as a strategic asset.
  • A strong emphasis will be placed on expertise in GCP, Vertex AI, and advanced feature engineering techniques.

Key Responsibilities:

  • Provide Technical Leadership
  • Build and Maintain Data Pipelines: Design, build, and maintain scalable, efficient, and reliable data pipelines to support data ingestion, transformation, and integration across diverse sources and destinations, using tools such as Kafka, Databricks, and similar toolsets.
  • Drive Digital Innovation: Leverage innovative technologies and approaches to modernize and extend core data assets, including SQL-based, NoSQL-based, cloud-based, and real-time streaming data platforms.
  • Implement Feature Engineering: Develop and manage feature engineering pipelines for machine learning workflows, utilizing tools like Vertex AI, BigQuery ML, and custom Python libraries.
  • Implement Automated Testing: Design and implement automated unit, integration, and performance testing frameworks to ensure data quality, reliability, and compliance with organizational standards.
  • Optimize Data Workflows
  • Mentor Team Members
  • Draft and Review Documentation: Draft and review architectural diagrams, interface specifications, and other design documents to ensure clear communication of data solutions and technical requirements.
  • Cost/Benefit Analysis: Present opportunities with cost/benefit analysis to leadership, guiding sound architectural decisions for scalable and efficient data solutions