1

Manager Databricks Data Engineer Jobs in Kentucky

$84K - $101K/yr

Manage and improve Databricks workspace configurations, including clusters, job scheduling, access ... Finance Data Engineering Support Required Qualifications * 6-9 years of overall experience in data ...

$112K - $179K/yr

Implement Databricks Unity Catalog for centralized data governance, metadata management, active ... Databricks Certified Data Engineer Associate or Professional certification Peraton Overview Peraton ...

New

$78K - $106K/yr

Livefront is hiring a remote candidate for Senior Data Engineer (Databricks). This is a full time position. Work location: USA. The role typically involves technologies such as SQL, CI/CD, Kafka ...

$84K - $101K/yr

... Databricks, Oracle, SQL Server, and Azure Database services to build and manage enterprise data ... Utilize Azure DevOps and GitHub to plan, execute, and measure project deliverables. * Participate ...

$84K - $101K/yr

Days-to-Bill * Denial management * Payer performance * Payment/remittance reconciliation ... Mentor Data Engineers andestablishreusable Databricks engineering and visualization patterns across ...

$90K - $119K/yr

Who you are You are a Databricks-focused Data Engineer who understands that great data platforms are only as valuable as the products, AI workflows, and experiences they enable. You bring deep ...

Program Manager, Databricks & Enterprise Data Platforms Fractal is a strategic AI partner to ... The person will partner with senior client stakeholders, data product owners, engineering leaders ...

$84K - $101K/yr

Design, build, maintain, and optimize data pipelines using Python, SQL, PySpark, Databricks, and ... Strong organizational skills and ability to manage multiple priorities in a fast‑paced ...

$88K - $105K/yr

R7257Join Mizuho as a Data Engineer!The IT Data team is responsible for design and development of ... on Databricks. Data Mesh is a decentralized data architecture where data is owned and managed by ...

$84K - $101K/yr

Apply Databricks development standards and data engineering best practices. * Administer and ... management. * Strong stakeholder engagement, communication, collaboration, and problem-solving ...

$84K - $101K/yr

The Data Engineer will design, implement, and manage scalable data pipelines, databases, and ... Develop and manage workflows on Databricks to support ETL/ELT processes. * Optimize Databricks ...

$92K - $127K/yr

You Will Design and architect a unified MLOps and forecasting platform on Databricks, leveraging ... A proven track record of leading large-scale architectural migrations and managing technical debt.

$84K - $101K/yr

As a Lead Data Engineer, you will serve as the technical leader for our Databricks Lakehouse ... Strong understanding of data governance, metadata management, data quality, observability, security ...

$78K - $106K/yr

The Senior Data Engineer is the lead delivery role for structured data engineering in Databricks. This role owns lakehouse execution across bronze, silver, and gold; common data model implementation;

$84K - $101K/yr

Databricks Development * Build, optimize, and maintain data pipelines using Databricks, Delta Lake ... AWS Cloud Engineering * Design and manage data ingestion, storage, and processing using AWS ...

$182K - $250K/yr

Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the ... What we look for: * 6+ years experience in data engineering, data platforms & analytics, or ...

$126K - $208K/yr

As a Data Engineer, you will play a key role in growing and transforming our analytics landscape ... Incorporate core data management competencies including data governance, data security and data ...

$84K - $101K/yr

... Data Engineer with expert-level knowledge to assume a key role in managing data, both at rest and ... Databricks Expertise: Optimize data processing by using your expertise in Databricks, develop Spark ...

$84K - $101K/yr

We are looking for a Data Engineer to join our team to support the Army Material Command. This ... Manage pipelines in a large Databricks AWS Data Lake (via Databricks:S3 > Glue >S3 via SQL and ...

New

$182K - $250K/yr

You will provide data engineering, data science, and cloud technology projects which require ... Collaborate with the Databricks Technical, Project Manager, Architect and Customer teams to ensure ...

next page

Showing results 1-20

Manager Databricks Data Engineer information

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

AspectManager Databricks Data EngineerData Engineer
Primary FocusTeam leadership, project management, strategic planningData pipeline development, data modeling, ETL processes
Required SkillsLeadership, Databricks platform knowledge, data architectureSQL, Spark, Python, cloud platforms
CertificationsDatabricks certifications, leadership credentialsDatabricks certifications, technical skills
Work EnvironmentManagement, cross-team collaboration, strategic oversightHands-on data processing, coding, pipeline implementation

The Manager Databricks Data Engineer oversees data engineering teams and manages projects on the Databricks platform, focusing on strategy and leadership. In contrast, a Data Engineer primarily handles technical tasks like building data pipelines and coding. Both roles require Databricks platform knowledge and relevant certifications, but the managerial role emphasizes leadership and project management, while the Data Engineer role is more technical and execution-focused.

How much does a Manager Databricks Data Engineer make?

A Manager Databricks Data Engineer typically earns between $120,000 and $160,000 annually, depending on experience, location, and company size. They often require strong skills in Spark, SQL, and cloud platforms like Azure or AWS, along with leadership responsibilities. Compensation may also include bonuses and stock options.

Is a Manager Databricks Data Engineer in demand?

Manager Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and the need for advanced data processing skills. They typically require expertise in Spark, SQL, and cloud environments, making their roles critical in data-driven organizations seeking scalable analytics solutions.

What are the most commonly searched types of Databricks Data Engineer jobs in Kentucky?

The most popular types of Databricks Data Engineer jobs in Kentucky are:

What are popular job titles related to Manager Databricks Data Engineer jobs in Kentucky?

For Manager Databricks Data Engineer jobs in Kentucky, the most frequently searched job titles are:

What cities in Kentucky are hiring for Manager Databricks Data Engineer jobs?

Cities in Kentucky with the most Manager Databricks Data Engineer job openings:

Infographic showing various Manager Databricks Data Engineer job openings in Kentucky as of August 2026, with employment types broken down into 84% Full Time, 13% Part Time, 2% Contract, and 1% Nights. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution.

DataBricks Data Engineer USA Remote (United States)

On-site

$84K - $101K/yr

Other

Posted 5 days ago


Job description

Role Overview

We are looking for an experienced Databricks Data Engineer to support, maintain, and enhance existing Databricks-based data applications and pipelines. The role focuses on ensuring reliability, performance, and scalability of production Databricks workloads rather than building net-new platforms from scratch. You will work closely with data, analytics, and engineering teams to keep critical data applications stable, optimized, and aligned with business needs.

Key Responsibilities
  • Support and maintain existing Databricks applications, notebooks, jobs, and Delta Lake pipelines in production.
  • Monitor, troubleshoot, and resolve issues related to job failures, performance degradation, data quality, and cluster utilization.
  • Optimize existing Spark jobs, SQL queries, and Delta tables for cost, performance, and reliability.
  • Manage and improve Databricks workspace configurations, including clusters, job scheduling, access controls, and Unity Catalog (where applicable).
  • Implement and maintain data quality checks, logging, alerting, and basic observability for Databricks workloads.
  • Collaborate with stakeholders to understand requirements for enhancements or bug fixes on existing applications.
  • Perform incremental improvements, refactoring, and technical debt reduction on current Databricks solutions.
  • Ensure adherence to best practices around security, governance, and cost management within the Databricks environment.
  • Document existing pipelines, dependencies, and operational runbooks.
  • Participate in on-call or support rotations as needed to maintain production stability
  • Finance Data Engineering Support
Required Qualifications
  • 6–9 years of overall experience in data engineering, with strong hands‑on experience in Databricks.
  • Solid proficiency in Apache Spark (PySpark and/or Scala) and SQL.
  • Proven experience supporting and optimizing production Databricks workloads (jobs, notebooks, Delta Lake, workflows).
  • Strong understanding of Delta Lake concepts (ACID transactions, time travel, optimization techniques such as Z‑ordering, vacuum, optimize).
  • Experience with Databricks Job clusters, Interactive clusters, and performance tuning (partitioning, caching, shuffle optimization, autoscaling).
  • Familiarity with data modeling, ETL/ELT patterns, and production data pipeline support.
  • Experience working with cloud platforms (preferably Azure, AWS, or GCP) in the context of Databricks.
  • Ability to troubleshoot complex Spark and Databricks issues independently.
Preferred Qualifications
  • Experience with Unity Catalog, Databricks SQL, or Lakehouse architecture.
  • Knowledge of CI/CD practices for Databricks (e.g., Databricks Asset Bundles, Git integration, Terraform/ARM templates).
  • Familiarity with orchestration tools (Airflow, Azure Data Factory, or Databricks Workflows).
  • Exposure to data quality frameworks, monitoring tools, or cost optimization initiatives on Databricks.
  • Experience supporting analytics or BI teams consuming Databricks data products.
  • Collaborative remote environment with regular syncs and support responsibilities
#J-18808-Ljbffr