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Contract Databricks Data Engineer Jobs in Louisville, KY

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 ...

Data Engineer II

Louisville, KY · On-site

$110K - $132K/yr

As an experienced Data Engineer, you will have the ability to share new ideas and collaborate on ... Partner with stakeholders to translate requirements into well-defined datasets and data contracts.

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 ...

Define integration contracts and domain boundaries for provider data, EMR, and Snowflake/Databricks ... engineering, information security, or other specialized technology field. * 5+ years of solution ...

Define integration contracts and domain boundaries for provider data, EMR, and Snowflake/Databricks ... engineering, information security, or other specialized technology field. * 5+ years of solution ...

Define integration contracts and domain boundaries for provider data, EMR, and Snowflake/Databricks ... engineering, information security, or other specialized technology field. * 5+ years of solution ...

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials ...

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Contract Databricks Data Engineer information

See Louisville, KY salary details

$42.8K

$124.6K

$170.5K

How much do contract databricks data engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for contract databricks data engineer in Louisville, KY is $124,635.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,000.00 and $132,100.00 per year, depending on experience, location, and employer.

What is a contract Databricks data engineer?

Contract Databricks Data Engineers are professionals hired on a temporary or project basis to design, build, and maintain data infrastructure using Databricks, a unified analytics platform. They typically work with big data tools, cloud environments, and programming languages like Python or Scala to process and analyze large datasets. Their responsibilities often include developing data pipelines, optimizing data workflows, and collaborating with data scientists and analysts to support business objectives. Because they are contractors, their roles can vary by project and organization, offering flexibility and specialized expertise.

What skills and qualifications are needed to thrive as a contract Databricks data engineer?

To excel as a Contract Databricks Data Engineer, you need strong experience in data engineering, SQL, Spark, and cloud platforms, often supported by a degree in computer science or a related field. Familiarity with Databricks, Apache Spark, Python or Scala, and cloud services like AWS or Azure is typically required, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you work effectively in dynamic, project-based environments. These competencies ensure the efficient design and implementation of scalable data solutions, driving business insights and project success.

What are common challenges faced by contract Databricks data engineers when integrating data from multiple sources?

As a contract Databricks Data Engineer, you'll often encounter challenges related to integrating diverse data sources, such as on-premises databases, cloud storage, and APIs. These challenges may include handling inconsistent data formats, managing data quality, and ensuring secure data transfers. Additionally, adapting to clients' unique data architectures and optimizing ETL pipelines for performance in a cloud environment are common tasks. Collaboration with data scientists, analysts, and other engineers is critical to ensure data is both accessible and reliable for downstream analytics and machine learning.

How much does a Contract Databricks Data Engineer make?

A Contract Databricks Data Engineer typically earns between $70 and $150 per hour, depending on experience, location, and project scope. Contract roles often pay higher hourly rates compared to full-time positions and may require expertise in Spark, cloud platforms, and data pipeline development.

Is a Contract Databricks Data Engineer in demand?

Contract Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and the need for expertise in big data processing, Spark, and SQL. Organizations seek professionals with skills in data pipeline development, cloud environments, and tools like Apache Spark and Delta Lake, often offering competitive rates for contract roles. The demand is driven by ongoing digital transformation initiatives across industries.

What are the most commonly searched types of Databricks Data Engineer jobs in Louisville, KY?

The most popular types of Databricks Data Engineer jobs in Louisville, KY are:

What are popular job titles related to Contract Databricks Data Engineer jobs in Louisville, KY?

For Contract Databricks Data Engineer jobs in Louisville, KY, the most frequently searched job titles are:

What job categories do people searching Contract Databricks Data Engineer jobs in Louisville, KY look for?

The top searched job categories for Contract Databricks Data Engineer jobs in Louisville, KY are:

Databricks Developer

Delan Associates, Inc

Louisville, KY • On-site, Remote

Contractor

Posted 10 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