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Senior Databricks Developer Jobs in Ohio (NOW HIRING)

$92.09 - $138.14/hr

(Senior) Data & AI Engineer (all genders) mit Schwerpunkt Databricks Die OPITZ CONSULTING Deutschland GmbH ist Partner für digitale Transformation - mit über 400 Kolleginnen und Kollegen, für ...

$102.76 - $137.02/hr

... München)als Senior Data Engineer Azure & Databricks (m/w/d). * Sie entwickeln und betreiben ... Kenntnisse in Azure Data Services wie Azure Data Factory, Storage oder DevOps setzen Sie ...

$82 - $105.42/hr

We are looking for a Senior Data Engineer & Databricks Specialist to join our team in Germany with a start-up style atmosphere and Nordic-based work culture. We have offices in Munich and Berlin with ...

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 ...

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Senior Databricks Engineer

Cincinnati, OH • On-site

$100K - $137K/yr

Contractor

Re-posted 13 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.