Robert Half is partnering with a well-known brand seeking an experienced Data Engineer that's investing heavily in building out scalable data pipelines within an Azure ecosystem (Databricks / Synapse). This is a hands-on role focused on data transformation and modeling, not just maintaining reports or legacy ETL. You'd be partnering closely with business teams to drive analytics and decision-making, sitting right at the intersection of data engineering, business systems, and analytics on a highly collaborative team.
Responsibilities:
- Design, build, and optimize scalable data pipelines using Azure technologies (Databricks, Synapse)
- Develop and maintain data transformation workflows using Python and SQL
- Model and structure data to support analytics, reporting, and business intelligence use cases
- Partner with business stakeholders to translate requirements into technical data solutions
- Improve data quality, reliability, and performance across data pipelines
- Support integration of data from multiple internal and external sources
- Contribute to evolving best practices around data architecture, governance, and scalability
- Troubleshoot and resolve data issues, ensuring consistency and accuracy across environments
Requirements:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 4+ years of experience in data engineering or similar role
- Python (data processing / ETL development)
- SQL (advanced querying, data modeling)
- Proven experience building end-to-end data pipelines
- Strong understanding of data modeling concepts
- Experience working with large datasets and distributed data systems
- Ability to work cross-functionally and communicate with non-technical stakeholders
Other:
- Position is full time with full benefits
- Experience with Power BI is a big plus.
- 100% onsite in San Diego.
