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Contract Databricks Data Engineer Jobs in Columbia, SC

Ourhrconnect

Data Scientist

Columbia, SC · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are one of the nation's leading administrators of government contracts. We operate one of the ... Strong programming, analytical, and problem-solving skills. * Knowledge of statistical techniques ...

Booz Allen Hamilton

Data Scientist

Sumter, SC · On-site

$99 - $225/hr

  • Medical

  • Life

  • Retirement

  • PTO

... programming languages for data analysis 5+ years of experience analyzing structured and ... as well as contract-specific affordability and organizational requirements. The projected ...

Phase2 Technology

Data Scientist

Sumter, SC · On-site

$99 - $225/hr

  • Medical

  • Life

  • Retirement

  • PTO

... programming languages for data analysis * 5+ years of experience analyzing structured and ... as well as contract-specific affordability and organizational requirements. The projected ...

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

Contract Databricks Data Engineer information

See Columbia, SC salary details

$41.2K

$120K

$164.2K

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 Columbia, SC is $120,005.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,900.00 and $127,200.00 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 Columbia, SC?

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

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

The top searched job categories for Contract Databricks Data Engineer jobs in Columbia, SC are:

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

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

Contract Databricks Data Engineer jobs near you

Specialist, Field Monitoring - Technical Field Data

Scout Motors Inc.

Blythewood, SC • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Job Summary:
Scout Motors Inc. is a company dedicated to reviving an iconic American vehicle brand with a focus on innovation and quality. The Field Monitoring Quality Specialist will analyze vehicle and field data to identify issues impacting customer experience and vehicle performance, collaborating closely with engineering teams to enhance product quality and customer trust.
Responsibilities:
• Serve as a VoC quality expert, ensuring timely and accurate feedback loops into engineering
• Design and implement customer surveys and feedback frameworks to assess product satisfaction
• Analyze large volumes of unstructured data (social media, web forums, call center logs, customer verbatims) to identify key customer pain points and trends
• Support end-to-end root cause analysis (RCA) of customer issues across full vehicle systems, including powertrain, high-voltage battery, and connected features
• Identify patterns in fleet data to enable early detection of emerging quality issues
• Drive faster resolution through data-driven insights and cross-functional collaboration
• Define and implement strategies for collecting, organizing, and analyzing large-scale connected vehicle data
• Partner with engineering teams to establish vehicle data policies, signal strategies, and telemetry requirements
• Perform advanced data analysis to correlate vehicle behavior, software versions, and customer-reported issues
• Develop and deploy AI/ML models for: Anomaly detection, Failure prediction, Sentiment analysis
• Leverage analytics to improve customer satisfaction, reliability, and warranty performance
• Act as the bridge between software-defined vehicle data policies and real-world engineering insights
• Ensure data pipelines are robust, accurate, and actionable
• Enable a VIN-level (Vehicle 360) view for comprehensive lifecycle traceability
• Work closely with: Vehicle engineering (hardware & software), Connected vehicle and app development teams, Service, warranty, and customer support organizations
• Enhance data collection capabilities, user interfaces, and reporting standards across systems
Qualifications:
Required:
• A bachelor’s degree in engineering, computer science and/or data science.
• 5+ years in an environment related to technical data processing, preferably within a vehicle manufacturer or supplier environment.
• Experience in automotive engineering, quality, or field issue analysis, ideally in EV or connected vehicle environments.
• Hands-on experience with data analytics tools and large datasets (e.g., Databricks, SQL, Python, cloud platforms).
• Experience in running Java Script, Python, SQL, HTML/CSS.
• Experience in deploying AI-based solutions and tools for data processing.
• Ability to build full-scale AI-powered products from scratch using available open AI.
• Familiarity with AI/ML concepts and applications in anomaly detection or predictive analytics.
• Understand data warehouse systems like Basic AWS or Azure data services or Databricks.
• Strong understanding of vehicle systems (powertrain, battery, diagnostics, telematics).
• Ability to work across functions and translate data insights into engineering actions.
• Experience working with customer feedback systems and VoC analytics.
• Experience with PBI and PowerApps, building app own-made solutions for data analytics.
• Strong interpersonal skills, with experience working in multicultural and team-oriented environments.
Company:
Scout is more than just a brand, it’s a legacy steeped in a culture of exploration, caretaking, and hard work. Founded in 2022, the company is headquartered in Washington, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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