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With a strong presence across America and Europe , we're proud to be one of the highest-rated recruitment agencies in the market.We're currently partnering with a fast-growing US-based cybersecurity startup .
The company is building innovative security solutions that help organizateanse & prepare, store data and develop data products aligned with defined architecture patterns
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Required Qualifications:+ BS in Computer Science, Management Information Systems, Computer Engineer or related fields or equivalent experience.
+ +5 years in Data Engineer Role+ Knowledge and/or experience with: data acquisition, preparation and validation; data movement and transformation; analytics solution architecture; big data computing; cloud computing, core data architecture; information security technologies and software engineering using technologies such as: Azure Data Factory (ETL), Databricks, DevOps, CI/CD Pipeline Deployment, Python, Java, Ansible, Azure SQL, Azure Synapse, GIT, ADO, Azure Data Lake, Azure Analysis Services, Logic Apps, Microsoft Data Flows, Kimball Data Warehousing Methodology+ Analytical thinking, Consulting, Critical Thinking
Relocation Options
Relocation may be considered.
International Considerations
Expatriate assignments will not be considered.
Chevron regrets that it is unable to sponsor employment Visas or consider individuals on time-limited Visa status for this position
Chevron participates in E-Verify in certain locations as required by law.
Chevron Corporation is one of the world's leading integrated energy companies.




Through its subsidiaries that conduct business worldwide, the company is involved in virtually every facet of the energy industry.
Chevron explores for, produces and transports crude oil and natural gas; refines, markets and distributes transportation fuels and lubricants; manufactures and sells petrochemicals and additives; generates power; and develops and deploys technologies that enhance business value in every aspect of the company's operations.
Chevron is based in Houston, Texas.
More information about Chevron is available at .
Chevron is an Equal Opportunity / Affidantiive Action employer.
Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status, or other status protected by law or regulation.
WHY JOIN US
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!
ABOUT THE ROLE
We are looking for a Data Engineer with strong Databricks and GCP experience to develop scalable ETL/ELT pipelines and productionize agentic workflows for data engineering automation.
WHAT YOU WILL DO
Design, develop, and optimize scalable ETL/ELT data pipelines using Databricks, PySpark, and SQL.




Build and operationalize agentic workflows to automate data engineering and operational processes such as data validation, issue identification, troubleshooting, and workflow execution.
Integrate agentic capabilities with existing Databricks, GCP, BigQuery, and Delta Lake environments.
Develop data pipelines and processing solutions to support new business requirements and datasets.
Build reusable frameworks and components that can be leveraged across multiple data engineering and business use cases.
Implement data quality checks, monitoring, validation, exception handling, and production controls.
Optimize PySpark and SQL workloads for performance, reliability, and scalability.
Support testing, deployment, productionization, and ongoing enhancement of data and agentic solutions.
Troubleshoot complex data and production issues and implement sustainable solutions.
Collaborate with business, data engineering, and platform teams to identify further automation opportunities.
MUST HAVES
5+ years of strong hands-on experience with Databricks and PySpark.
Advanced SQL and data-processing skills.
Hands-on experience with GCP, particularly BigQuery.
Experience with Delta Lake and modern data lake/lakehouse architectures.
Strong understanding of ETL/ELT, data pipeline design, performance optimization, and data quality.
Experience building reliable, scalable, production-grade data solutions.
Strong analytical and troubleshooting skills.
Understandine that embraces modern AI-assisted development workflows.Company-provided laptop and equipment.Generous PTO and regional holidays.High ownership, autonomy, and direct influence on technical decisions.
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