ZipRecruiter

Log In

1

Contract Databricks Data Engineer Jobs in Summerville, SC

Stahl Companies

SME- Data Architect

Charleston, SC · On-site

$59.75 - $76.75/hr

Contract / Temp Location: NIWCSSS-NAVWAR-NIWC-231999-SC Description Subject Matter Expert (SME) 5 - ... to data engineers and database teams. Qualifications • Technical training in Data Design ...

Munich Re

Principal Data Scientist

Charleston, SC · On-site +1

Experience in multiple programming languages, including R and Python. * Deep understanding of GLMs ... Experience with Databricks or similar big data platforms is highly desirable. * Strong ...

New

previous pagenext page

Showing results 21-40

All JobsContract Databricks Data Engineer JobsContract Databricks Data Engineer Jobs in Summerville, SC

Contract Databricks Data Engineer information

See Summerville, SC salary details

$39.9K

$116.4K

$159.2K

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

As of Aug 18, 2026, the average yearly pay for contract databricks data engineer in Summerville, SC is $116,370.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,700.00 and $123,400.00 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 popular job titles related to Contract Databricks Data Engineer jobs in Summerville, SC?

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

What cities near Summerville, SC are hiring for Contract Databricks Data Engineer jobs?

Cities near Summerville, SC with the most Contract Databricks Data Engineer job openings:

Contract Databricks Data Engineer jobs near you

Engineer Data (Multiple Positions) (REF291620F)

Bosch Group

Charleston, SC • Hybrid

$109K - $131K/yr

Full-time

Re-posted 4 days ago

Job description

Company Description

Robert Bosch LLC seeks Engineer Data (Multiple Positions) at its facility located at 8101 Dorchester Road, Charleston, SC 29418. Provide data to end users by creating and maintaining data pipelines allowing them to do data analytics and data mining. Create and maintain optimal data pipelines for test and experimental data. 10% Work with data warehouses, data lakes and cloud-based environments. Extract, transform and load the data from a wide variety of sources using Python, SQL, and/or MS Azure. 10% Assemble and analyze large, complex datasets from different sources that meet business requirements. 15% Build analytics tools that utilize data pipelines to provide actionable insights into development and manufacture process improvements, operational efficiency, testing supervision, test evaluation. 10% Work with design, testing and manufacturing engineers to assist with data-related issues and support data infrastructure needs, including predictive maintenance and performance evaluation. 15% Work with an international team of data and analytics experts to strive for greater functionality in data systems and digitalization efforts. 10% Monitor release testing progress and implement new tracing metrics, applying machine learning and visualization methods to classify and evaluate test data. 10% Identify, design and implement internal process improvements, including physics-based modeling and automating analysis pipelines. 5% Build processes supporting data transformation and data structures, demonstrate through Python-based pipelines for test and experimental data. 5% Ability to manipulate, process and extract value from large connected and disconnected datasets in both experimental and production environments. 10% REQS: This position requires a bachelor's degree or foreign equivalent in Mechanical Engineering, Aerospace Engineering, Computer Science, Informatics, Information Systems or a related field, and 3 years of experience as a Mechanical Engineer, Data Scientist or in an occupation involving data processing, designing mechanical components, testing and validating components. Additionally, the applicant must have employment experience with: (1) Cloud environments such as Azure and Databricks, and proficiency in Python for large-scale data analysis in development, testing and production environment; (2) PySpark or Scala, and Python for transformation, modeling, and analysis of high-volume test and experimental data coming from different sources like test benches, vehicle data, simulations and production equipment; (3) Collecting, processing, and analyzing data from multiple internal and external sources to perform root cause analysis related to vehicle dynamics and system performance, identifying improvement opportunities, developing data driven solutions, and validating results through numerical simulations and test data correlation; (4) Performing root cause analysis on production-related troubleshooting through vibration, durability, and hydraulic system data; (5) Machine learning algorithms for classification, predictive maintenance, and test data analysis; (6) Manipulating process and extract insights from large experimental and production datasets; and (7) Hydraulic Systems, Tableau, Power BI, Qlik, PySpark, Scala, Python, Azure, Databricks, Siemens NX and Teamcenter, MS Project, MATLAB, Ansys Fluent, and Abaqus. Travel Requirements: 10% domestic and international travel. Telecommuting: 1 day work from home/4 days on site per week. Applicants who are interested in this position should apply via https://www.bosch.us/careers/, search [Engineer Data (Multiple Positions) /

REF291620F].

Additional Information

All your information will be kept confidential according to EEO guidelines.

Apply