ZipRecruiter

Log In

1

Temporary Databricks Data Engineer Jobs in Charlestown, IN

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 ...

next page

Showing results 1-20

All JobsDatabricks Data Engineer JobsTemporary Databricks Data Engineer JobsTemporary Databricks Data Engineer Jobs in Charlestown, IN

Temporary Databricks Data Engineer information

See Charlestown, IN salary details

$40.9K

$119.3K

$163.2K

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

As of Sep 8, 2026, the average yearly pay for temporary databricks data engineer in Charlestown, IN is $119,272.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,300.00 and $126,400.00 per year, depending on experience, location, and employer.

What is the difference between Temporary Databricks Data Engineer vs Temporary Spark Data Engineer?

AspectTemporary Databricks Data EngineerTemporary Spark Data Engineer
Required SkillsDatabricks platform, Spark, SQL, Python, cloud servicesApache Spark, Scala, Python, SQL, cloud environments
CertificationsDatabricks Certified Data Engineer, cloud certificationsApache Spark certifications, cloud certifications
Work EnvironmentCloud-based Databricks platform, collaborative environmentOn-premises or cloud Spark clusters, flexible environments
Industry UsageData engineering projects leveraging Databricks platformBig data processing using Spark in various environments

While both roles involve Spark and cloud skills, a Temporary Databricks Data Engineer specializes in the Databricks platform, offering integrated tools and collaborative features. A Temporary Spark Data Engineer focuses on Spark core technology, often working in diverse environments. The choice depends on the specific platform and tools used by the employer.

What cities near Charlestown, IN are hiring for Temporary Databricks Data Engineer jobs?

Cities near Charlestown, IN with the most Temporary Databricks Data Engineer job openings:

Temporary Databricks Data Engineer jobs near you

Databricks Developer

Delan Associates, Inc.

Louisville, KY • On-site, Remote

Contractor

Posted 15 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.

Apply