Description
We are looking for an experienced Data Engineer to strengthen and scale an enterprise data environment in California. This contract opportunity with potential for a permanent role is ideal for someone who enjoys building reliable cloud-based data solutions, shaping reporting-ready datasets, and connecting information from diverse business platforms. The role offers meaningful ownership across data modeling, pipeline development, and analytics enablement while working closely with stakeholders in a collaborative setting.
Responsibilities:
Create and refine scalable data structures that support reporting, analytics, and long-term platform growth.
Develop and maintain curated datasets that are dependable, well-organized, and ready for business intelligence use.
Connect data from multiple enterprise applications and align it into a consistent, usable format.
Build and manage mappings, reference relationships, and cross-system data associations to improve data consistency.
Enhance existing ingestion and transformation workflows to support expanding business and analytics needs.
Strengthen platform stability through better monitoring, testing practices, and operational improvements.
Tune and optimize data processing performance while contributing to ongoing platform enhancements.
Produce clear documentation for lineage, transformation rules, and support procedures to improve maintainability.
Collaborate with business partners to deliver high-confidence data assets that support reporting and decision-making.
Help establish engineering standards, documentation practices, and technical guidelines across the data platform.
Requirements
At least 5 years of practical experience in data engineering roles.
Minimum 3 years of hands-on Snowflake experience in production data environments.
Strong knowledge of dimensional data modeling, including star schema design for reporting solutions.
Solid programming ability in Python for data processing and platform development.
Experience with code-driven transformation tools such as SQLMesh, dbt, or comparable frameworks.
Background building and supporting ETL or data ingestion pipelines across multiple source systems.
Familiarity with enterprise data integration, data harmonization, and crosswalk design across complex applications.
Proficiency with Git-based source control workflows and effective collaboration in team development environments.
Technology Doesn't Change the World, People Do.
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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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.
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Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: rhalfint
- Position Id: 01300-0013537487
- Posted 1 hour ago
