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# Snowflake Data Engineer

- **Company:** Robert Half
- **Location:** Wayne, PA, United States
- **Contract:** Temporary contract
- **Skills:** JavaScript (Programming Language), Adaptable Database Systems, Application Programming Interfaces (APIs), Artificial Intelligence, Business Logic, ARM Architecture, Automation of Tests, Microsoft Azure, Code Review, Continuous Integration, Information Engineering, Data Security, Data Structures, Data Systems, Python (Programming Language), Machine Learning, Netsuite, OpenFlow, Software Engineering, SQL Databases, Cloud Platform System, Data Ingestion, Snowflake, Apache Kafka, Virtual Agents, Software Version Control, Data Pipelines
- **Published:** September 25, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3404592255&tx=JJ10195LFR&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* Investigate and resolve issues affecting pipelines, semantic models, applications, and data quality while partnering across technical and business teams to deliver durable solutions. Requirements - Proven experience in a Snowflake-focused engineering role, such as data engineering, analytics engineering, or AI engineering, delivering production-ready solutions.
 * Strong hands-on expertise in Snowflake SQL and experience building optimized pipelines, transformations, and data models.
 * Proficiency in Python and familiarity with software engineering disciplines including version control, testing, CI/CD, and peer code review.
 * Experience developing AI, machine learning, or generative AI solutions using Snowflake Cortex AI or comparable technologies.
 * Knowledge of semantic modeling approaches that translate business logic into reusable, governed structures for analytics and AI.
 * Background working with event-driven or connector-based ingestion tools such as Kafka, Snowpipe, APIs, Openflow, or similar frameworks.
 * Experience supporting cloud-based data platforms in Azure and working within enterprise identity, security, and governance standards.
 * Ability to troubleshoot complex issues across data pipelines, application behavior, performance, and data quality in cross-functional environments. Technology Doesn't Change the World, People Do., All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information.

## Description

* Architect and maintain scalable data pipelines, transformation workflows, and structured data models within Snowflake to support reporting, analytics, and AI use cases.
 * Develop and deploy AI and machine learning capabilities using Snowflake-native tools, including intelligent agents, search-driven experiences, and customer-facing applications where applicable.
 * Define and manage semantic views and business logic layers that provide governed, consistent definitions for analytics and AI consumption.
 * Implement and support data ingestion frameworks using technologies such as Kafka, Snowpipe, APIs, Openflow, and third-party connectors, including integrations with enterprise platforms like NetSuite.
 * Create reusable engineering utilities and automation with SQL, SnowSQL or related Snowflake tooling, Python, and JavaScript when appropriate.
 * Establish strong production standards through automated testing, data quality validation, observability, exception handling, and controlled deployment processes.
 * Tune queries, pipelines, AI workloads, and data structures to improve performance, scalability, maintainability, and downstream usability.
 * Design secure data-sharing solutions and data-product delivery patterns for internal stakeholders, external partners, and customers.
 * Collaborate with platform administrators and security teams to align access controls, governance requirements, identity integration, and production readiness for Snowflake solutions.