About the Senior Data Engineer Role at Robert Half

Join Robert Half's prestigious client in Beverly Hills, California, as a Senior Data Engineer. This is an exciting on-site opportunity for a hands-on professional who thrives in collaborative environments and loves owning data platforms from end-to-end. Located in the heart of West Hollywood, you'll work closely with technical and non-technical stakeholders to tackle complex data challenges and drive innovative cross-functional initiatives. If you're curious, independent, and ready to roll up your sleeves for foundational and ambiguous problems, this role is your chance to make an immediate impact.

Robert Half places top talent in high-impact roles like this, where you'll build resilient data systems and explore modern AI-enabled architectures. With a focus on scalability and ownership, you'll evolve data infrastructure that powers business success. Perfect for data engineers passionate about strategy and execution in a dynamic, fast-paced setting.

Key Responsibilities

• Design, build, and maintain scalable data pipelines leveraging Python and SQL for optimal performance and reliability.
• Develop and manage robust cloud-based data infrastructure across platforms like GCP, AWS, or Azure to support growing data needs.
• Own end-to-end data orchestration workflows, with preference for Prefect; experience with Airflow or Dagster is highly transferable.
• Implement advanced data modeling practices using dbt or similar tools, backed by strong SQL foundations for data integrity.
• Reconcile disparate data sources and pioneer master data management strategies to ensure unified, accurate data landscapes.
• Collaborate with diverse stakeholders to define requirements, track project deliverables, and lead cross-functional data initiatives.
• Support and optimize containerized workloads and data services utilizing Docker and Kubernetes for seamless deployment.
• Evaluate, integrate, and optimize low-code or no-code data syncing tools to enhance efficiency without compromising quality.

These responsibilities demand a builder's mindset—someone who can be pointed at a problem and run with it, blending strategic vision with tactical execution.

Required Qualifications

To excel in this Senior Data Engineer position, candidates should demonstrate:

• 5+ years of progressive data engineering experience, with a proven ability to own complex projects.
• Expert-level proficiency in Python and SQL for pipeline development and data manipulation.
• Hands-on experience with cloud platforms such as GCP, AWS, or Azure for infrastructure management.
• Strong background in data orchestration tools like Prefect, Airflow, or Dagster.
• Deep knowledge of data modeling, preferably with dbt, and mastery of SQL for analytical workloads.
• Familiarity with containerization technologies including Docker and Kubernetes.
• Experience reconciling multi-source data and implementing master data management.
• A curious mindset eager to explore AI-enhanced data architectures and emerging technologies.
• Excellent communication skills for partnering with technical and non-technical teams.
• Self-starter attitude with comfort in ambiguous environments and cross-functional collaboration.

Robert Half seeks candidates who embody ownership, curiosity, and a passion for resilient data systems.

Why Join Us?

At Robert Half, we connect exceptional talent like you with transformative opportunities. This role offers a competitive salary up to $170,000, comprehensive benefits including health insurance, 401(k) matching, and professional development. Work on-site in glamorous Beverly Hills, CA, USA, in a highly collaborative team that values impact from day one.

Push the boundaries of data engineering with AI integrations, enjoy career growth, and contribute to meaningful projects. For immediate consideration, connect with Reid Gormly on LinkedIn and apply now. Robert Half is an equal opportunity employer committed to diversity and inclusion.