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Senior Databricks Data Engineer Jobs in Cincinnati, OH

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager ... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data ...

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 ...

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 ...

Azure Data Engineer

Cincinnati, OH · On-site

$111K - $134K/yr

This is a W2 role Short We need a strong Azure Data Engineer with expertise in Databricks, including Unity Catalog experience), strong Pyspark and understanding of CI/CD and Infrastructure as Code ...

H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status) As a Senior Data Engineer ... Our data engineers use PySpark/Python, Databricks, and other data engineering technologies and ...

Senior Data Engineer

Blue Ash, OH · On-site

$97K - $132K/yr

Key Responsibilities Create and leverage Databricks notebooks to source, shape and store data using ... First round with HM 30 min, second round panel with Tech lead, PM and another Engineer HM will be ...

SENIOR DATA ENGINEER

Erlanger, KY · On-site

$104K - $142K/yr

Job Summary As a Senior Data Engineer, you will play a key role in building and evolving the data ... Hands-on experience with Microsoft Fabric, Azure Data Factory, Azure Synapse, Databricks, Snowflake ...

SENIOR DATA ENGINEER

Erlanger, KY · On-site

$104K - $142K/yr

Job Summary As a Senior Data Engineer, you will play a key role in building and evolving the data ... Hands-on experience with Microsoft Fabric, Azure Data Factory, Azure Synapse, Databricks, Snowflake ...

SENIOR DATA ENGINEER

Erlanger, KY · On-site

$104K - $142K/yr

Job Summary As a Senior Data Engineer, you will play a key role in building and evolving the data ... Hands-on experience with Microsoft Fabric, Azure Data Factory, Azure Synapse, Databricks, Snowflake ...

SENIOR DATA ENGINEER

Erlanger, KY · On-site

$104K - $142K/yr

Job Summary As a Senior Data Engineer, you will play a key role in building and evolving the data ... Hands-on experience with Microsoft Fabric, Azure Data Factory, Azure Synapse, Databricks, Snowflake ...

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

Cincinnati, OH · On-site

$103K - $140K/yr

They are seeking a Senior Data Engineer to design cutting edge analytic solutions, optimize data ... Databricks and DBT experience is a plus • Experience building and optimizing data pipelines ...

Data Engineer

Mason, OH · On-site

$55 - $60/hr

Experience with big data technologies (Spark, Hadoop, Databricks - optional but preferred). * Familiarity with CI/CD, DevOps practices, and version control tools. Responsibilities: * Design, develop ...

DATA ENGINEER IV

Cincinnati, OH · On-site

$68 - $70/hr

Data Engineer IV Location: Cincinnati, OH - onsite Payrate $70/hr on W2. USC and GC Holder ... Familiarity with ML tools like SageMaker or Databricks is helpful but not required - we're happy to ...

Lead Data Engineer (P4519)

Cincinnati, OH · On-site

$125K - $207K/yr

Our developers use Databricks (Spark, SQL, PySpark), Databricks Workflows, Python, JSON, and SQL to ... senior resources to ensure consistent development practices Bring new perspectives to problems and ...

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Senior Databricks Data Engineer information

See Cincinnati, OH salary details

$57.1K

$121.4K

$176.1K

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

As of Aug 26, 2026, the average yearly pay for senior databricks data engineer in Cincinnati, OH is $121,428.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,300.00 and $137,700.00 per year, depending on experience, location, and employer.

What is a Senior Databricks Data engineer?

Senior Databricks Data Engineers are experienced professionals who design, develop, and optimize large-scale data processing pipelines using the Databricks platform. They work with big data technologies like Apache Spark, Delta Lake, and cloud platforms such as Azure or AWS. Their responsibilities include building and maintaining ETL processes, ensuring data quality, and collaborating with data scientists and analysts to deliver reliable, high-performance data solutions. As senior engineers, they also mentor junior team members and contribute to architectural decisions.

How does a Senior Databricks Data engineer typically collaborate with data scientists and analysts on large-scale projects?

A Senior Databricks Data Engineer works closely with data scientists and analysts to design, build, and optimize data pipelines that enable advanced analytics and machine learning initiatives. They often participate in cross-functional meetings to understand data requirements, translate them into scalable ETL processes, and ensure data quality and accessibility. Regular collaboration also involves troubleshooting data issues, optimizing Spark jobs for performance, and sharing best practices for data management. This close teamwork ensures that analytical teams have reliable, timely, and well-structured data to drive insights and decision-making.

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

To thrive as a Senior Databricks Data Engineer, you need advanced expertise in data engineering concepts, big data technologies, and proficiency in programming languages like Python or Scala, usually backed by a bachelor's degree in computer science or a related field. Familiarity with Databricks, Apache Spark, cloud platforms (Azure, AWS, or GCP), and certifications like Databricks Certified Data Engineer are typically required. Strong problem-solving skills, effective communication, and the ability to collaborate across teams distinguish top performers in this role. These skills are essential to efficiently design scalable data solutions, optimize data workflows, and drive business insights in complex data environments.

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

AspectSenior Databricks Data EngineerData Engineer
CredentialsTypically requires experience with Databricks, Spark, cloud platforms, and often certifications like Databricks Certified Data Engineer AssociateRequires knowledge of data pipelines, SQL, ETL tools, and often cloud platform experience, but less specialized in Databricks
Work EnvironmentWorks primarily within Databricks environment, focusing on big data processing and analyticsWorks across various data tools and platforms, including traditional ETL and cloud services
Industry UsageCommon in organizations leveraging Databricks for big data analytics and machine learningWidely used across industries for general data pipeline development and data management

The main difference is that a Senior Databricks Data Engineer specializes in using Databricks and Spark for big data solutions, often requiring specific certifications and experience. A Data Engineer has a broader focus on data pipeline development across various tools and platforms, with less emphasis on Databricks-specific skills.

Is a Senior Databricks Data Engineer in demand?

A Senior Databricks Data Engineer is in high demand due to the increasing adoption of cloud-based data platforms and the need for advanced data processing skills. Professionals with expertise in Spark, SQL, and cloud environments like Azure or AWS are particularly sought after in data-driven industries.

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 Senior Databricks Data Engineer jobs in Cincinnati, OH?

For Senior Databricks Data Engineer jobs in Cincinnati, OH, the most frequently searched job titles are:

What job categories do people searching Senior Databricks Data Engineer jobs in Cincinnati, OH look for?

The top searched job categories for Senior Databricks Data Engineer jobs in Cincinnati, OH are:

What cities near Cincinnati, OH are hiring for Senior Databricks Data Engineer jobs?

Cities near Cincinnati, OH with the most Senior Databricks Data Engineer job openings:

Senior Databricks Engineer

Kanak Elite Services Inc

Cincinnati, OH • On-site

$100K - $137K/yr

Contractor

Re-posted 14 days ago


Job description

Hello There,

My name is Gunjan Sharma, and I serve as the Sr. Technical Recruiter at Kanak-IT INC. I am reaching out to share an excellent career opportunity for the role of  Sr. Databricks Engineer with our esteemed client. If you are interested then please share your updated resume.

Role- Sr. Databricks Engineer
Location - Cincinnati, OH Locals only (f2f interview)
Duration- 6+ months
About the job

We are seeking a Senior Databricks Engineer with deep hands-on experience designing and implementing large-scale data solutions on Azure Databricks. The ideal candidate has real-world experience building and troubleshooting production-grade data pipelines, optimizing Spark workloads, managing Delta Lake architecture, and implementing DevOps best practices using IaC and CI/CD automation.

Key Responsibilities

  • Design, develop, and maintain data pipelines and ETL solutions in Azure Databricks using PySpark and Delta Lake.
  • Implement data integration frameworks and API-based ingestion using tools like Apigee or Kong.
  • Analyze, design, and deliver enterprise data architecture solutions focusing on scalability, performance, and governance.
  • Implement automation tools and CI/CD pipelines using Jenkins, Ansible, or Terraform.
  • Troubleshoot production failures and performance bottlenecks — fix partitioning, caching, shuffle, cluster sizing, and Z-ordering issues.
  • Manage Unity Catalog, enforce data security (row/column-level access), and maintain data lineage.
  • Administer Databricks clusters, jobs, and SQL warehouses, optimizing costs through auto-stop, job clusters, and Photon usage.
  • Collaborate with cross-functional teams to drive data strategy and standards across domains.
  • Create and maintain detailed architectural diagrams, interface specs, and data flow documentation.
  • Mentor junior engineers on Databricks, Spark optimization, and Azure data best practices.

Required Skills & Experience

  • 5+ years of experience as a Data Engineer with strong hands-on experience in Azure Databricks and PySpark.\
  • Solid understanding of Delta Lake, Z-ordering, partitioning, OPTIMIZE, and ACID transactions.

Thanks & Regards

Gunjan Sharma

Sr. Technical Recruiter

Email: Gunjan@kanakits.com

LinkedIn: https://www.linkedin.com/in/gk-s-5238053a5/

Kanak IT is an equal opportunity employer. We consider all applicants for employment without regard to citizenship, immigration status, race, gender, disability, or any other protected category.