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Databricks Data Engineer Jobs in Kentucky (NOW HIRING)

Pwc

Data Governance- Manager

Louisville, KY

$99K - $232K/yr

... Databricks Certified Data Engineer / Data Analyst / ML Travel Requirements Up to 80% Job Posting End Date The salary range for this position is: $99,000 - $232,000. Actual compensation within the ...

Humana, Inc.

Senior Applied AI Engineer

Louisville, KY · On-site

$100K - $137K/yr

The hiring team owns a large data store in Databricks Unity Catalog containing all ITSM data that this role will leverage for their work. You will work closely with data engineering and business ...

Humana

Senior Applied AI Engineer

Louisville, KY · On-site +1

$100K - $137K/yr

The hiring team owns a large data store in Databricks Unity Catalog containing all ITSM data that this role will leverage for their work. You will work closely with data engineering and business ...

New

Humana

Senior Applied AI Engineer

Louisville, KY · On-site +1

$100K - $137K/yr

The hiring team owns a large data store in Databricks Unity Catalog containing all ITSM data that this role will leverage for their work. You will work closely with data engineering and business ...

New

Humana

Senior Applied AI Engineer

Louisville, KY · On-site +1

$100K - $137K/yr

The hiring team owns a large data store in Databricks Unity Catalog containing all ITSM data that this role will leverage for their work. You will work closely with data engineering and business ...

New

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Databricks Data Engineer information

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$112.7K

$154.2K

How much do databricks data engineer jobs pay per year?

As of Jul 12, 2026, the average yearly pay for databricks data engineer in Kentucky is $112,662.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,400.00 and $119,400.00 per year, depending on experience, location, and employer.

What is a Databricks Data Engineer job?

A Databricks Data Engineer is responsible for designing, building, and maintaining scalable data pipelines on the Databricks platform. They work with Apache Spark, Delta Lake, and cloud services to process large datasets efficiently. Their role involves data ingestion, transformation, optimization, and ensuring data quality for analytics and machine learning. Additionally, they collaborate with data scientists, analysts, and business teams to deliver reliable data solutions.

What does a typical day look like for a Databricks Data Engineer?

A typical day for a Databricks Data Engineer involves developing and maintaining scalable data pipelines, optimizing big data workflows using Spark, and collaborating with data scientists, analysts, and other engineers. You will regularly work within cloud environments to manage and process large datasets, conduct troubleshooting, and ensure data reliability and performance. Daily tasks may also include writing code, participating in team meetings, and implementing best practices for data security and governance. This role is highly collaborative, requiring frequent communication to align on project goals and address any technical challenges. The dynamic, project-based structure helps expand your skills and offers growth opportunities into senior engineering or data architecture roles.

What are the key skills and qualifications needed to thrive in the Databricks Data Engineer position, and why are they important?

To thrive as a Databricks Data Engineer, you need strong expertise in data engineering concepts, big data processing, and programming languages such as Python, Scala, or SQL, often supported by a degree in computer science or a related field. Proficiency in Databricks, Apache Spark, cloud platforms (like AWS, Azure, or GCP), and relevant certifications such as Databricks Certified Data Engineer are highly valued. Effective problem-solving, collaboration, and clear communication skills help engineers work efficiently within cross-functional teams. These skills are essential for designing scalable data pipelines, ensuring data quality, and delivering actionable analytics in dynamic business environments.

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Databricks Data Engineer jobs near you
Senior Data Modeler

Senior Data Modeler

BrightSpring Health Services

Louisville, KY • On-site

Full-time

Re-posted 9 days ago

BrightSpring Health Services rating

4.8

Company rating: 4.8 out of 10

Based on 62 frontline employees who took The Breakroom Quiz

216th of 235 rated social care providers

Job description

Our Company
BrightSpring Health Services
Overview
We are seeking a highly skilled Senior Data Modeler to join our Data Engineering & Architecture team. This role will play a critical part not only in designing, developing, and maintaining logical and physical data models, but also in architecting, building, and optimizing the data pipelines and platforms that power our enterprise data warehouse, analytics ecosystem, and business intelligence solutions. This position ensures that data assets are structured, engineered, and delivered in a scalable, high performance, and user-friendly manner across the organization.
Responsibilities
  • Design, implement, and optimize conceptual, logical, and physical data models to support enterprise reporting, analytics, and data science use cases.
  • Collaborate with data engineers, business analysts, and business stakeholders to translate business requirements into robust data structures.
  • Define and enforce data modeling standards, best practices, and naming conventions across the organization.
  • Develop and maintain data dictionaries, ER diagrams, and metadata documentation to ensure clarity and consistency.
  • Analyze existing data models and workflows to identify opportunities for improvement in performance, scalability, and maintainability.
  • Contribute to the development of enterprise data architecture patterns and reusable modeling frameworks.
  • Architect, build, and optimize scalable ETL/ELT pipelines using modern data engineering frameworks and cloud technologies.
  • Lead the design and development of distributed data processing workflows using Databricks, PySpark, Azure SQL and/or Azure Synapse.
  • Develop and optimize data ingestion frameworks (batch and streaming) from diverse sources including FHIR, APIs, files, databases, and event streams.
  • Ensure data pipelines meet enterprise standards for performance, reliability, observability, and recoverability.
  • Perform advanced SQL, PySpark, or Python optimization to maximize query speed and dataset availability for analytics and downstream applications.
  • Oversee data lake and data warehouse architecture, including partitioning strategies, delta lake management, schema evolution, and performance tuning.
  • Troubleshoot, diagnose, and resolve complex data engineering and pipeline issues across cloud environments.
  • Mentor junior engineers and modelers, influencing engineering patterns, coding standards, and architectural direction.
  • Collaborate with security teams to implement proper access controls, encryption, secrets management, and compliance processes.

Qualifications
  • Bachelor's degree in Computer Science, Information Systems, Data Management, or related field (or equivalent experience).
  • 7-10 years of experience in data modeling, data engineering, dimensional modeling, or data architecture roles.
  • Strong knowledge of relational, dimensional, and NoSQL data modeling techniques.
  • Advanced SQL skills and experience designing for cloud data platforms (Databricks, Synapse, Azure SQL Databases, Redshift, BigQuery, or similar).
  • Expertise in building scalable ETL/ELT processes using modern data engineering tools (Azure Data Factory, Databricks, Synapse Pipelines, SSIS, etc.).
  • Strong proficiency with Python, PySpark, or Scala for data engineering and scripting.
  • Hands-on experience with Azure cloud data services: Azure Data Factory, Azure SQL Database, Azure Synapse Analytics, Azure Data Lake Storage Gen2, Databricks.
  • Experience designing and optimizing data lakes, delta lakehouse architectures, and large-scale distributed data systems.
  • Experience working with DevOps concepts-CI/CD pipelines, Git branching strategies, automated testing, and deployment.
  • Ability to orchestrate and influence remote teams, ensuring successful implementation of complex data solutions.
  • Detail-oriented with excellent organizational skills.
  • Effective working in a cross-functional, dynamic, and remote environment.
  • Strategic thinker with the ability to balance short-term deliverables with long-term platform evolution.

Preferred
  • Hands-on experience designing, building, and operationalizing unified data platforms, including semantic layers, ontologies, and knowledge graphs, to enable AI/ML product development.
  • Experience with enterprise-scale analytics environments and BI tools (Power BI, Qlik, Tableau, Databricks AI/BI Dashboards).
  • Exposure to data governance, data cataloging, and MDM practices.
  • Knowledge of data vault modeling, star schema, and snowflake modeling.
  • Experience designing real-time/streaming data pipelines (Kafka, Event Hubs, Spark Streaming, etc.).
  • Familiarity with API platforms and tools such as Postman or API gateways.
  • Experience tuning large-scale Spark workloads and optimizing cloud compute costs.
  • Strong communication and collaboration skills across both technical and non-technical teams.

Key Competencies
  • Analytical and meticulous mindset with a strong ability to solve complex data design and engineering challenges.
  • Ability to balance short-term deliverables with long-term enterprise strategy.
  • Strong documentation and communication skills for presenting technical concepts to non-technical audiences.
  • Leadership qualities with the ability to mentor and guide junior team members.
  • Ability to think holistically across data modeling, data engineering, and data architecture disciplines.

About our Line of Business
BrightSpring Health Services provides complementary home- and community-based health solutions for complex populations in need of specialized and/or chronic care. Through the Company's service lines, including pharmacy, home health care, and rehabilitation, we provide comprehensive and more integrated care and clinical solutions in all 50 states to over 475,000 customers, clients and patients daily. BrightSpring has consistently demonstrated strong and industry-leading quality metrics across its services lines, while improving the health and quality of life for high-need individuals and reducing overall healthcare system costs. For more information, please visit www.brightspringhealth.com. Follow us on Facebook, LinkedIn, and X.

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