Job Title: Data Engineer
Employment Type: Fulltime/Contract
Location: Fontana, CA (Hybrid)
Job Description:
This role will support the organization’s expanding cloud data platform and future enterprise analytics roadmap within Databricks. The Senior Data Engineer will work closely with internal business units and external engineering partners to support enterprise data pipelines, cloud database environments, operational analytics, system integrations, and future data development initiatives.
The position will play a key role in supporting current and future Databricks projects and sprint initiatives, including transportation and brokerage analytics, operational KPI reporting, driver payroll and activity-based pay analytics, telematics and reefer visibility integrations, customer visibility platforms, trailer and yard management integrations, AI and automation initiatives, and enterprise reporting solutions.
This role will support scalable cloud-based data solutions utilizing Databricks, SQL, Python, PySpark, AWS, Microsoft Azure, APIs, and modern ETL/ELT workflows across multiple operational systems and business units.
The ideal candidate will have experience working with large operational datasets, cloud data environments, transportation management systems, telematics platforms, APIs, and modern analytics workflows within a fast-paced logistics and transportation environment.
Key Duties and Responsibilities:
• Develop and maintain scalable data solutions within Databricks.
• Build and optimize ETL/ELT workflows using SQL, Python, and PySpark.
• Support Bronze, Silver, and Gold layer data architecture and scalable analytics workflows.
• Optimize Spark workloads and data transformations for scalability and performance.
• Support ingestion workflows from APIs, operational systems, and external data providers.
• Work with structured and semi-structured datasets including JSON, CSV, and API responses.
• Support AWS-based cloud environments and Databricks integrations.
• Write and optimize advanced SQL queries and transformations.
• Develop Python scripts and Databricks notebooks for automation, validation, and operational analytics.
Required Qualifications:
• 5+ years of experience in Data Engineering, Analytics Engineering, or related technical roles.
• Strong SQL skills required.
• Strong Python skills required.
• Experience with Databricks, PySpark, and Spark-based processing required.
• Experience working in AWS and Microsoft Azure cloud environments and modern ETL/ELT workflows.
Preferred Skills and Experience:
• Logistics / transportation industry experience preferred.
• Experience with Revenova, Samsara, and transportation operational datasets preferred.
• Bachelor’s degree in Computer Science, Data Analytics, Information Systems, Engineering, Mathematics, or related technical field preferred; equivalent experience accepted.
• Understanding of transportation workflows, APIs, JSON data structures, and operational analytics.
• Experience supporting hybrid AWS and Azure cloud architectures, integrations, and enterprise analytics environments preferred.
•Experience with Microsoft Azure services, Microsoft Entra ID (Azure AD), and enterprise identity/access management preferred.
Skills Required
- Bachelor's degree in Computer Science, Data Science, Engineering, or a related field
- 2+ years of experience in data engineering, analytics, or related roles with at least 2 years specifically working with DataBricks
- Proficient in programming languages such as Python, Scala, or SQL
- Strong experience with Databricks, Azure, or AWS cloud services
v4c.ai Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about v4c.ai and has not been reviewed or approved by v4c.ai.
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Flexible Benefits — Flexible work arrangements, including remote-first and hybrid options, are highlighted across roles and company materials. Flexibility is positioned as part of the benefits package supporting work–life balance.
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Wellbeing & Lifestyle Benefits — Wellbeing offerings such as wellness programs and regular social events are explicitly called out. These lifestyle benefits are framed as supporting employee happiness.
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Healthcare Strength — Comprehensive health insurance plans are stated as part of the package. Health coverage is presented as a core benefit alongside wellness support.
v4c.ai Insights
What We Do
v4c.ai is a premier IT services consultancy specializing in Databricks to help organizations unlock the full potential of their data. We partner with enterprises to accelerate their journey to becoming data-driven by delivering end-to-end Databricks services across Lakehouse implementation, data engineering, AI/ML, and governance. Our expertise in integration, optimization, and enablement empowers clients to unify disparate data sources, modernize analytics, and build AI-ready platforms. By aligning Databricks capabilities with strategic business goals, we help organizations achieve faster insights, stronger competitive advantage, and scalable innovation.
