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Senior Databricks Data Engineer Jobs in Kentucky

FISCHER HOMES

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 ...

Fischer Homes

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 ...

FISCHER HOMES

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 ...

Fischer Homes

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 ...

Pwc

GenAI Python Systems Engineer-Manager

Louisville, KY · On-site

$99K - $232K/yr

Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python and SQL - Experience with Docker and ...

Pwc

GenAI Python Systems Engineer-Director

Louisville, KY · On-site

$155K - $410K/yr

Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python and structured/unstructured data ...

Crew Career Center

Senior Data Engineer

Louisville, KY · On-site

$101K - $138K/yr

ABOUT THIS POSITION Waystar is seeking a highly skilled Senior Data Engineer to join our Business Data & Architecture team and help advance our enterprise Data Modernization Program on Google Cloud ...

Patientco

Senior Data Engineer

Louisville, KY · On-site

$101K - $138K/yr

ABOUT THIS POSITION Waystar is seeking a highly skilled Senior Data Engineer to join our Business Data & Architecture team and help advance our enterprise Data Modernization Program on Google Cloud ...

Pwc

Data Governance- Manager

Louisville, KY · On-site

$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 ...

Scalence L.L.C.

Azure Databricks Developer

Louisville, KY · On-site

$52.75 - $65.50/hr

C. is seeking a skilled developer specializing in Azure Databricks to join their dynamic team ... The role involves developing and optimizing data pipelines, collaborating with cross-functional ...

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Senior Databricks Data Engineer information

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 Kentucky?

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

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

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

What job categories do people searching Senior Databricks Data Engineer jobs in Kentucky look for?

The top searched job categories for Senior Databricks Data Engineer jobs in Kentucky are:

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

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

Senior Databricks Data Engineer jobs near you
Infographic showing various Senior Databricks Data Engineer job openings in Kentucky as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

SENIOR DATA ENGINEER

FISCHER HOMES

Erlanger, KY • On-site

$104K - $142K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 10 days ago

Job description

Job Summary
As a Senior Data Engineer, you will play a key role in building and evolving the data foundation that powers decision-making across The Fischer Group. You'll design, develop, and maintain scalable data pipelines and modern Lakehouse/Warehouse solutions on the Microsoft Fabric platform, ensuring business data is accurate, reliable, and analytics-ready. In this role, you'll help modernize our data ecosystem by migrating legacy solutions, establishing engineering best practices, and partnering with Analytics, Business Intelligence, and IT teams to deliver trusted data that drives business insights. If you enjoy solving complex data challenges, building cloud-native solutions, and shaping the future of enterprise analytics, this role offers the opportunity to make a lasting impact.
This position is 100% onsite, day 1 in our Erlanger, KY office.
You will thrive in this role if you:
  • Enjoy designing scalable data solutions that enable better business decisions.
  • Are passionate about building reliable, high-performing cloud data platforms.
  • Take ownership of data quality, governance, and pipeline reliability.
  • Enjoy solving complex technical challenges while continuously improving existing processes.
  • Thrive in collaborative environments where you partner with Analytics, Business Intelligence, and Software Development teams.
  • Stay current with emerging technologies and enjoy applying modern engineering practices to improve efficiency.
  • Like mentoring others and helping establish engineering standards across a growing team.

These skills will be used to:
  • Design, build, and maintain scalable ETL/ELT pipelines using Microsoft Fabric and related cloud technologies.
  • Develop and optimize Lakehouse and Data Warehouse architectures for performance, scalability, and cost efficiency.
  • Modernize legacy SSIS and on-premises data solutions by migrating them to cloud-based platforms.
  • Build reliable, automated data ingestion processes using incremental loading, orchestration, and monitoring best practices.
  • Implement data quality testing, validation, and governance to ensure trusted, analytics-ready datasets.
  • Partner with Analytics Engineering to deliver clean, curated data that supports enterprise reporting and self-service analytics.
  • Establish reusable engineering patterns, documentation, and development standards for the Data Engineering team.
  • Troubleshoot and resolve production pipeline issues while continuously improving reliability and operational performance.
  • Mentor junior engineers and contribute to continuous improvements in source control, CI/CD, and deployment processes.

Required Qualifications:
  • Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent professional experience.
  • Three (3)+ years of experience designing, building, and supporting enterprise data pipelines (ETL/ELT) in a production environment.
  • Strong proficiency in SQL and experience with Python (PySpark preferred).
  • Hands-on experience with Microsoft Fabric, Azure Data Factory, Azure Synapse, Databricks, Snowflake, or a similar cloud data platform.
  • Experience implementing data ingestion strategies, incremental loading, watermarking, and reliable pipeline architecture.
  • Experience with source control and CI/CD practices using Git or similar tools.
  • Strong analytical, problem-solving, communication, and organizational skills.

Preferred Qualifications:
  • Microsoft Certified: Fabric Data Engineer Associate (DP-700), or actively pursuing certification.
  • Experience migrating legacy SSIS or on-premises data environments to cloud-based Lakehouse architectures.
  • Experience with data quality frameworks, pipeline monitoring, and data contracts.
  • Familiarity with dimensional modeling (Kimball methodology).
  • Experience working in Agile environments using Scrum or Kanban methodologies.
  • Experience mentoring or leading other Data Engineers.
  • Understanding of AI, Machine Learning, and generative AI technologies.
  • Experience implementing AI-enabled solutions or machine learning models within enterprise data environments.

Physical Demands and Work Environment:
  • Must be able to use verbal communication skills to effectively interact with associates, business partners, and customers.
  • Must be able to perform repetitive motions and use fine motor skills while operating standard office equipment.
  • Must be able to lift and carry approximately 20-25 pounds unassisted.
  • Must be able to remain seated for extended periods with occasional standing, walking, and reaching.

The Value of a Career with The Fischer GroupThe Fischer Group is a family of companies focused on delivering exceptional experiences across homebuilding, financial services, and real estate. Through our businesses, we are committed to quality, growth, and long-term success for both our customers and our Associates.
We believe our success is driven by our people. We seek out talented individuals and provide the training, resources, and support needed to grow their careers and make a meaningful impact. The rewards for their efforts are:
  • Professional Development Training programs
  • Health Insurance
  • Tuition Reimbursement
  • Competitive Compensation
  • 401(k) with Company matching contributions and profit-sharing
  • Employee Life Insurance
  • Personal time off
  • Inclusive Leave

The Fischer Group holds the highest ethical standards of business. We are honest and straightforward and stand by our word. Our actions demonstrate respect, courtesy, and fairness.

Apply