Senior Data Engineer at Robert Half

Robert Half is partnering with a well known brand seeking an experienced Data Engineer with Databricks experience. Working alongside data scientists and software developers, you’ll work will directly impact dynamic pricing strategies by ensuring the availability, accuracy, and scalability of data systems. This position is full time with full benefits and 3 days onsite in the Woodland Hills, CA area.Responsibilities:Design, build, and maintain scalable data pipelines for dynamic pricing models.Collaborate with data scientists to prepare data for model training, validation, and deployment.Develop and optimize ETL processes to ensure data quality and reliability.Monitor and troubleshoot data workflows for continuous integration and performance.Partner with software engineers to embed data solutions into product architecture.Ensure compliance with data governance, privacy, and security standards.Translate stakeholder requirements into technical specifications.Document processes and contribute to data engineering best practices.Requirements:Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.4+ years of experience in data engineering, data warehousing, and big data technologies.Proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL, SQL Server).Must have experience in Databricks.Experience working within Azure or AWS or GCP environment.Familiarity with big data tools like Spark, Hadoop, or Databricks.Experience in real-time data pipeline tools.Experienced with Python