Contract Data Engineer

Robert Half
San Francisco, CA, United States
18 days ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Data Analysis Business Process Modeling Custom Software Information Engineering Data Integrity Software Debugging Programming Tools Electronic Data Interchange (EDI) Middleware Python (Programming Language) Netsuite
+11 more
DataOps Salesforce.Com SQL Databases Data Streaming Systems Integration Enterprise Software Applications Snowflake Integration Frameworks Software Coding Data Pipelines Alteryx

Job description

We are looking for a Contract Data Engineer to support financial systems and data operations in San Francisco, California. This is a remote on-going contract. This role will work across Finance, Systems, and Engineering to improve data reliability, strengthen integrations, and enhance platforms that support billing, accounts payable, and quote-to-cash workflows. The ideal candidate brings deep technical expertise with NetSuite and Snowflake, along with strong coding skills to diagnose issues, streamline processes, and build scalable solutions in a complex systems environment.

Responsibilities:

Build, monitor, and refine data pipelines that move financial and transactional information across internal platforms and enterprise systems.

Investigate data issues, resolve integration failures, and improve the overall accuracy and consistency of business-critical datasets.

Develop and maintain middleware solutions that connect NetSuite, Salesforce, Snowflake, and custom applications.

Partner with Finance, Systems, and Engineering stakeholders to deliver technical enhancements that support accounting operations and downstream reporting.

Implement improvements within NetSuite and related financial systems to better support billing, accounts payable, and quote-to-cash processes.

Troubleshoot code and system behaviors using SQL, Python, and related tools to identify root causes and restore reliable performance.

Support integration workflows between Salesforce and NetSuite, ensuring stable data exchange and operational continuity.

Evaluate and contribute to automation initiatives, including AI-enabled workflow opportunities that can reduce manual effort and improve efficiency.

Requirements

Hands-on experience working with NetSuite in a technical or systems-focused capacity. Strong knowledge of Snowflake and SQL for data analysis, troubleshooting, and platform support. Proficiency in Python or comparable programming tools used for data engineering and integration work. Experience designing, maintaining, or debugging data pipelines and system integrations. Familiarity with middleware applications and cross-platform data flow management. Understanding of financial systems and accounting processes such as billing, accounts payable, and quote-to-cash. Experience with Salesforce to NetSuite integrations is preferred. Exposure to Alteryx or automation-focused tools is an advantage.

Benefits & conditions

Robert Half works to put you in the best position to succeed. We provide access to top jobs, competitive compensation and benefits, and free online training. Stay on top of every opportunity - whenever you choose - even on the go. Download the Robert Half app and get 1-tap apply, notifications of AI-matched jobs, and much more.

About the company

Robert Half is the world’s first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles.

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:41 min

Embedding artificial intelligence directly within enterprise data grids

Vitaly Friedman Vitaly Friedman · World Congress 2026 Europe

2:00 min

Separating dataset creation from low-level software implementation steps

Jan Zawadzki · World Congress 2022

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

5:19 min

Executing queries and scheduling pipeline jobs within DataWorks

Qiyang Duan · LIVE

2:57 min

Core technical practices for robust data engineering

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

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