“NOTE: If selected for this position, you are required to perform ALL work within a commutable distance of your assigned Worksite Location. Three days a week onsite, Tues, Wed, Thurs, with Monday and Friday being remote” Data Engineer/Technical Lead for Culver City, CA for a 12-month Contract with possible extensions. Responsibilities: • Design and implement a standardized taxonomy across teams within a line of business • Align metadata structures with business processes and reporting needs • Document data definitions, hierarchies, and usage protocols for cross-team consistency • Drive the development and optimization of a cloud-based data warehouse in collaboration with data warehousing team • Collaborate with data engineers to build and maintain robust pipelines (ETL/ELT) connecting platforms such as Airtable, Aspera, Jira, and Zendesk. • Ensure data is properly normalized, deduplicated, and accessible for analytics • Deliver clean, reliable dashboards and ad hoc reports for finance, production, legal, operations, and other internal teams • Translate raw data into narratives that support operational planning and strategic forecasting • Support the development of self-serve reporting capabilities using tools like Tableau, Datahaiku and custom reporting tools • Partner with stakeholders to gather requirements, define KPIs, and validate data needs • Provide expertise on how best to leverage data across business operations and vendor-facing systems • Proactively identify opportunities to improve data clarity, trust, and usability across the organization Required Skills: • Experience establishing a unified data taxonomy, and streamline data flow across systems • Strong experience building build pipelines (ETL/ELT) • Experience with reporting and analytics, Tableau, Datahaiku and custom reporting tools • Media and/or Entertainment experience is mandatory • Ability to bridge technical expertise and business needs to deliver clear, actionable insights. • Big Data • Big Data Analytics • Core Data • Data Engineering • Data Migration • Data Science • Data Visualization • Database Technologies • Cloud based DataWarehousing