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Non Exempt Databricks Data Engineer Jobs in Kentucky

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 ...

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 ...

SENIOR DATA ENGINEER

Erlanger, KY · On-site

$104K - $142K/yr

Hands-on experience with Microsoft Fabric, Azure Data Factory, Azure Synapse, Databricks, Snowflake ... Fabric Data Engineer Associate (DP-700), or actively pursuing certification. * Experience migrating ...

SENIOR DATA ENGINEER

Erlanger, KY · On-site

$104K - $142K/yr

Hands-on experience with Microsoft Fabric, Azure Data Factory, Azure Synapse, Databricks, Snowflake ... Fabric Data Engineer Associate (DP-700), or actively pursuing certification. * Experience migrating ...

SENIOR DATA ENGINEER

Erlanger, KY · On-site

$104K - $142K/yr

Hands-on experience with Microsoft Fabric, Azure Data Factory, Azure Synapse, Databricks, Snowflake ... Fabric Data Engineer Associate (DP-700), or actively pursuing certification. * Experience migrating ...

SENIOR DATA ENGINEER

Erlanger, KY · On-site

$104K - $142K/yr

Hands-on experience with Microsoft Fabric, Azure Data Factory, Azure Synapse, Databricks, Snowflake ... Fabric Data Engineer Associate (DP-700), or actively pursuing certification. * Experience migrating ...

$106K - $127K/yr

Proven ability to work directly with business stakeholders, translate non-technical needs into ... Experience with Databricks and modern datalakehousearchitectures is preferred, including data ...

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 ...

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 ...

You will collaborate with product, engineering, EA Activation, security, data, and operations. You ... Hands-on architecture across Azure services and Snowflake/Databricks (data lake/data platform ...

You will collaborate with product, engineering, EA Activation, security, data, and operations. You ... Hands-on architecture across Azure services and Snowflake/Databricks (data lake/data platform ...

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Non Exempt Databricks Data Engineer information

What is the difference between Non Exempt Databricks Data Engineer vs Non Exempt Data Analyst?

AspectNon Exempt Databricks Data EngineerNon Exempt Data Analyst
CertificationsDatabricks certifications, SQL, cloud platform skillsExcel, SQL, data visualization tools
Work EnvironmentCloud-based data platforms, big data environmentsBusiness intelligence tools, spreadsheets, reports
Employer & IndustryTech, finance, healthcare using big data solutionsMarketing, retail, finance analyzing data trends

Non Exempt Databricks Data Engineers focus on building and maintaining data pipelines using Databricks and cloud platforms, often working with big data. Non Exempt Data Analysts interpret data to generate reports and insights. While both roles require SQL skills, Data Engineers need cloud and big data expertise, whereas Data Analysts focus on data visualization and reporting.

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Infographic showing various Non Exempt Databricks Data Engineer job openings in Kentucky as of June 2026, with employment types broken down into 67% Full Time, 25% Part Time, 4% Temporary, and 4% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Databricks Developer

Delan Associates, Inc

Louisville, KY • On-site, Remote

Contractor

Posted 9 days ago


Job description

We are looking for a highly skilled Databricks Developer with expertise in building and managing modern data platforms using the Databricks Lakehouse architecture. The ideal candidate will have strong experience in PySpark, Python, SQL, Delta Lake, data modeling, data quality frameworks, and enterprise-scale data engineering solutions. The role involves designing, developing, and optimizing scalable data pipelines that support analytics, reporting, and AI/ML initiatives.

Key Responsibilities

Design and implement scalable data solutions using Databricks Lakehouse Architecture.

Develop and maintain data pipelines using PySpark, Python, and SQL.

Build and optimize ETL/ELT workflows for batch and near real-time data processing.

Implement Delta Lake features including ACID transactions, time travel, schema evolution, and data versioning.

Design and maintain enterprise data models to support reporting and analytics requirements.

Ensure data quality through validation, monitoring, reconciliation, and governance controls.

Develop and manage data catalogs, metadata management, and data lineage processes.

Collaborate with business stakeholders, architects, and analytics teams to gather and translate requirements into technical solutions.

Optimize Databricks workloads for performance, scalability, and cost efficiency.

Implement security, access controls, and governance best practices within the Databricks ecosystem.

Support troubleshooting, root cause analysis, and production issue resolution.

Contribute to data platform modernization and cloud migration initiatives.

Required Technical Skills

Databricks

Strong experience with Databricks Architecture and platform administration.

Hands-on expertise in Databricks Lakehouse Architecture.

Deep understanding of Delta Lake concepts and implementation.

Experience with Unity Catalog / Data Catalog and metadata management.

Knowledge of Databricks Workflows, Jobs, Clusters, and Performance Tuning.

Data Engineering

Strong proficiency in PySpark for large-scale data processing.

Advanced Python programming skills.

Expert-level SQL development and query optimization.

Experience in building robust ETL/ELT pipelines.

Strong understanding of data modeling techniques including:

Star Schema

Snowflake Schema

Dimensional Modeling

Data Vault (preferred)

Data Governance & Quality

Experience implementing data quality frameworks and validation checks.

Knowledge of data lineage, metadata management, and governance processes.

Experience with data reconciliation, profiling, and monitoring tools.

Cloud & Platform Experience (Preferred)

Azure Databricks

Azure Data Lake Storage (ADLS)

Azure Data Factory

Azure Synapse Analytics

CI/CD pipelines (Azure DevOps, GitHub Actions)

Qualifications

Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, or a related field.

4-8 years of experience in Data Engineering and Analytics.

Minimum 3+ years of hands-on experience with Databricks and PySpark.

Experience working in Agile development environments.

Employment Type: CONTRACTOR