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Freelance Databricks Data Engineer Jobs in Ohio (NOW HIRING)

Data Engineer

Columbus, OH · 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 ...

Data Engineer

Columbus, OH · 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 ...

Data Engineer

Columbus, OH · 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 ...

Data Engineer

Columbus, OH · On-site +1

$110K - $132K/yr

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

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and future business needs - Developing and documenting data ...

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and future business needs - Developing and documenting data ...

Data Engineer

Columbus, OH · On-site +1

$110K - $132K/yr

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

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and future business needs - Developing and documenting data ...

Data Engineer

Dayton, OH

$120K - $135K/yr

We are seeking a skilled, customer-focused Data Engineer with experience in Databricks, Apache Spark, Python, AWS, Microsoft 365, and SharePoint. Ideal candidates will have a solid grasp of supply ...

Senior Data Engineer

Cincinnati, OH · On-site

$101K - $138K/yr

Sr. Data Engineer for Cincinnati OH Will work on the projects from inception to end using Azure ... Databricks and Azure Data Explorer. Will stage, transform, and load structured and semi-structured ...

Lead Data Engineer

Cincinnati, OH · On-site

$98K - $129K/yr

LEAD DATABRICKS ENGINEER LOCATION: CINCINNATI, OH (HYBRID) IMMEDIATE HIRE | F2F INTERVIEW | RAVEL ... Azure Databricks PySpark Delta Lake Unity Catalog CI/CD (Data Engineering) Enterprise Data ...

Senior Data Engineer

Hudson, OH · On-site

$96K - $131K/yr

Design, develop, and optimize ETL/ELT pipelines using SQL, Python, Talend, and Databricks to ... Mentor junior data engineers and serve as a technical resource across the team. What You'll Bring ...

Senior Data Engineer

Cincinnati, OH · On-site

$101K - $138K/yr

SENIOR DATA ENGINEER Location: Cincinnati, OH - Onsite Contract Interview: onsite interview for the final round (12+ yrs exp) skilled in Azure, Databricks, Unity Catalog, Delta Tables, and Data Lake ...

$102.76 - $137.02/hr

Wir suchen Sie in Aretsried (bei Augsburg) oder in Freising (bei München)als Senior Data Engineer Azure & Databricks (m/w/d). * Sie entwickeln und betreiben Datenlösungen auf Azure Databricks und ...

New

Senior Data Engineer

Hudson, OH · On-site

$96K - $131K/yr

Guide the phased replacement of Talend with Databricks-native processes; assist in evaluating and ... Mentor junior data engineers and serve as a technical resource across the team. What You'll Bring ...

Data Architect, Databricks

Columbus, OH · On-site

$61.50 - $79.25/hr

You will partner closely with engineering, analytics, governance, and business teams to deliver ... Databricks adoption across teams * Design and implement secure, compliant data access frameworks ...

Showing results 21-40

Freelance Databricks Data Engineer information

How do freelance Databricks data engineers typically collaborate with client teams during projects?

Freelance Databricks Data Engineers often work remotely and interact with client teams through regular virtual meetings, project management platforms, and collaboration tools like Slack or Microsoft Teams. Clear communication is crucial, as you'll coordinate closely with data scientists, analysts, and IT stakeholders to understand requirements, deliver solutions, and troubleshoot issues. Establishing a structured workflow and providing frequent progress updates help ensure alignment and project success. Flexibility and proactive problem-solving are especially important in adapting to each client's unique data infrastructure and business goals.

What is the difference between Freelance Databricks Data Engineer vs Freelance Data Engineer?

AspectFreelance Databricks Data Engineer

Required SkillsProficiency in Databricks, Spark, Python, SQL, cloud platforms
Work EnvironmentRemote, project-based, client-specific
CertificationsDatabricks certifications, cloud platform credentials
Industry UsageData analytics, big data projects, AI/ML integrations

Freelance Databricks Data Engineers specialize in building and maintaining data pipelines using Databricks and Spark, often working on big data projects in cloud environments. Freelance Data Engineers may have broader skills across various tools and platforms but might not focus specifically on Databricks. Both roles are remote, project-based, and require similar certifications, but the Databricks-specific expertise makes the Freelance Databricks Data Engineer more specialized in Databricks ecosystems.

What is a freelance Databricks data engineer?

Freelance Databricks Data Engineers are independent professionals who specialize in designing, building, and maintaining data pipelines and analytics solutions using the Databricks platform. They work on a contract basis, often helping organizations with data integration, ETL processes, and leveraging Apache Spark for big data analytics. These engineers typically have expertise in cloud platforms, SQL, Python, and other data engineering tools, and they offer flexible support based on project needs.

What are the key skills and qualifications needed to thrive as a freelance Databricks data engineer?

To thrive as a Freelance Databricks Data Engineer, you need strong skills in data engineering, SQL, Python or Scala, and a solid understanding of big data concepts, often supported by a degree in computer science or related fields. Proficiency with Databricks, Apache Spark, cloud platforms (such as AWS or Azure), and relevant certifications (like Databricks Certified Data Engineer) is highly valued. Excellent problem-solving, communication, and self-management skills are essential for collaborating remotely with clients and handling diverse projects. These skills enable efficient data pipeline development, scalable analytics, and successful client delivery in dynamic freelance environments.
What are the most commonly searched types of Databricks Data Engineer jobs in Ohio? The most popular types of Databricks Data Engineer jobs in Ohio are:
What are popular job titles related to Freelance Databricks Data Engineer jobs in Ohio? For Freelance Databricks Data Engineer jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Freelance Databricks Data Engineer jobs in Ohio look for? The top searched job categories for Freelance Databricks Data Engineer jobs in Ohio are:
What cities in Ohio are hiring for Freelance Databricks Data Engineer jobs? Cities in Ohio with the most Freelance Databricks Data Engineer job openings:

Data Engineer

McKesson

Columbus, OH • Remote

$110K - $132K/yr

Full-time

Posted 21 days ago


McKesson rating

7.9

Company rating: 7.9 out of 10

Based on 209 frontline employees who took The Breakroom Quiz

48th of 86 rated pharmaceutical


Job description

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care.

What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you.

CoverMyMeds' is seeking aSpecialist, Data Engineeringto join our Data Engineering team.Of note, our Data Engineering Team is a highly technicalgroup of results driven Engineers, Analysts and Architectsfocused on providing our internal and external clients with high quality, repeatable and scalable data solutions.Together with our various business units, the work our Data Engineeringteam does ultimately helps get more people the medicine they need to live healthier lives.

We are looking for a hands-on Data Engineer who can quickly contribute to the design, development, and support of scalable data pipelines and data solutions. This role focuses on building and maintaining reliable data integrations, transforming complex data into trusted business assets, and supporting analytics and reporting initiatives across the organization.

The ideal candidate brings strong Databricks expertise, experience working with large-scale datasets, and the ability to partner effectively with business and technical stakeholders. This individual will help deliver high-quality data solutions while contributing to a collaborative team environment and supporting the growth of junior team members.

What You'll Do

Data Engineering & Pipeline Development

  • Design, build, and maintain scalable data pipelines that support reporting, analytics, and operational business needs.

  • Develop data ingestion and integration processes from a variety of structured and unstructured data sources.

  • Create and optimize data transformations using SQL, Databricks, and Azure-based technologies.

  • Support both batch and real-time data processing solutions.

  • Implement data quality, validation, and monitoring processes to ensure trusted and reliable data assets.

  • Troubleshoot and resolve data pipeline performance, reliability, and data quality issues.

Data Modeling & Business Support

  • Develop conceptual and logical data models based on business reporting requirements.

  • Partner with business stakeholders, analysts, and technology teams to understand data needs and translate them into scalable solutions.

  • Work with application development teams to understand source systems and build efficient data flows into enterprise data environments.

  • Support data governance initiatives through standardization, documentation, and quality controls.

Team Collaboration

  • Partner closely with Data Systems Analysts, Analytics teams, and Technology partners to solve business problems with data.

  • Communicate technical concepts clearly to both technical and non-technical audiences.

  • Leverage modern engineering practices and AI-assisted development tools to improve solution delivery and efficiency.

  • Share knowledge and provide guidance to less experienced team members.

Minimum Qualifications

  • Bachelor's degree in Computer Science, Information Systems, or related field, or equivalent experience.

  • 4+ years of experience in a dedicated Data Engineering role.

  • 4+ years of hands-on experience building and supporting data pipelines and data integration solutions.

  • Strong experience with Databricks in a production environment.

  • Strong SQL development skills.

  • Experience working with Azure-based data services.

  • Experience supporting reporting, analytics, systems integration, and data governance initiatives.

  • Demonstrated expertise in conceptual and logical data modeling.

  • Experience working with both structured and unstructured data.

  • Strong written and verbal communication skills.

Preferred Qualifications

  • Experience with data streaming and event-driven architectures such as Kafka.

  • Experience with Infrastructure as Code tools such as Terraform.

  • Experience supporting large-scale cloud migration or modernization programs.

  • Familiarity with AI-assisted development tools such as Claude Code, GitHub Copilot, or similar technologies.

  • Experience supporting business-critical applications and highly available data platforms.

  • Experience mentoring junior engineers or providing technical guidance within a collaborative team environment.

We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, pleaseclick here.

Our Base Pay Range for this position

$106,500 - $177,500

McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind:
McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.


McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.

McKesson job postings are posted on our career site: careers.mckesson.com.

McKesson is an Equal Opportunity Employer

McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.

McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) Disability_Accommodation@McKesson.com or (Canada) Accessibility@mckesson.ca. Resumes or CVs submitted to this email box will not be accepted.

Join us at McKesson!


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