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Remote Databricks Data Engineer Jobs in Cincinnati, OH

System One

Data Engineer

Fairfield, OH · Remote

$55 - $60/hr

Data Engineer Location: Cincinnati, Ohio Type: Contract To Hire Compensation: $55-60 Work Model ... Remote - offsite Hours: 40.0 Security Clearance: (not specified) Overview NO C2C ONLY W2 cannot ...

System One

Data Engineer

Fairfield, OH · Remote

$55 - $60/hr

Data Engineer Location: Cincinnati, Ohio Type: Contract To Hire Compensation: $55-60 Work Model ... Remote - offsite Hours: 40.0 Security Clearance: (not specified) Overview NO C2C ONLY W2 cannot ...

System One

Data Engineer

Fairfield, OH · Remote

$55 - $60/hr

Data Engineer Location: Cincinnati, Ohio Type: Contract To Hire Compensation: $55-60 Work Model ... Remote - offsite Hours: 40.0 Security Clearance: (not specified) Overview NO C2C ONLY W2 cannot ...

Paychex

Data Solutions Engineer

Cincinnati, OH · On-site +1

$91K - $156K/yr

Overview The Data Solutions Engineer will play a key role in integrating, architecting, and ... Databricks, Snowflake, and Informatica IDMC. Develop automation frameworks and CI/CD pipelines ...

Infinite Lambda

Data/AI Solutions Architect

Cincinnati, OH · Remote

$180K - $210K/yr

... sales and engineering, driving growth in a fast-growing consultancy focused on data and AI ... LOCATION & WORK ARRANGEMENTS The role is remote, but you will be expected to travel occasionally to ...

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 ... In this role, you will collaborate closely with ML software engineers, product managers, and other ...

System One

Principal Engineer

Evendale, OH · Remote

$150K/yr

Hybrid - onsite and remote Responsibilities * Serve as the primary technical authority for the ... Elevate the technical bar across the application and data teams through shared standards ...

System One

Principal Engineer

Evendale, OH · Remote

$150K/yr

Hybrid - onsite and remote Responsibilities * Serve as the primary technical authority for the ... Elevate the technical bar across the application and data teams through shared standards ...

System One

Principal Engineer

Evendale, OH · Remote

$150K/yr

Hybrid - onsite and remote Responsibilities * Serve as the primary technical authority for the ... Elevate the technical bar across the application and data teams through shared standards ...

System One

Principal Engineer

Evendale, OH · On-site

$150K/yr

Principal Engineer Location: North Cincinnati, Ohio Type: Direct Hire Compensation: $150k ... Elevate the technical bar across the application and data teams through shared standards ...

System One

Principal Engineer

Evendale, OH · Remote

$150K/yr

Hybrid - onsite and remote Responsibilities * Serve as the primary technical authority for the ... Elevate the technical bar across the application and data teams through shared standards ...

System One

Principal Engineer

Evendale, OH · Remote

$150K/yr

Hybrid - onsite and remote Responsibilities * Serve as the primary technical authority for the ... Elevate the technical bar across the application and data teams through shared standards ...

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All JobsDatabricks Data Engineer JobsRemote Databricks Data Engineer JobsRemote Databricks Data Engineer Jobs in Cincinnati, OH

Remote Databricks Data Engineer information

See Cincinnati, OH salary details

$42.7K

$124.5K

$170.3K

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 Cincinnati, OH is $124,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,900.00 and $131,900.00 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 Cincinnati, OH? The most popular types of Databricks Data Engineer jobs in Cincinnati, OH are:
What are popular job titles related to Remote Databricks Data Engineer jobs in Cincinnati, OH? For Remote Databricks Data Engineer jobs in Cincinnati, OH, the most frequently searched job titles are:
What job categories do people searching Remote Databricks Data Engineer jobs in Cincinnati, OH look for? The top searched job categories for Remote Databricks Data Engineer jobs in Cincinnati, OH are:
What cities near Cincinnati, OH are hiring for Remote Databricks Data Engineer jobs? Cities near Cincinnati, OH with the most Remote Databricks Data Engineer job openings:
Remote Databricks Data Engineer jobs near you
Infographic showing various Remote Databricks Data Engineer job openings in Cincinnati, OH as of July 2026, with employment types broken down into 87% Full Time, 3% Part Time, and 10% Contract. Highlights an 100% Remote job distribution, with an average salary of $124,460 per year, or $59.8 per hour.

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

Saransh Inc

Cincinnati, OH • Remote

$107K - $146K/yr

Contractor

Re-posted 28 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