Santa Monica, United States of America On-site Full-time USD 112,000 – 160,000 / year

Red Bull is hiring a Data Engineer

Responsibilities

  • Design, build, and maintain data pipelines using modern orchestration tools (e.g., Dagster, Airflow, or equivalent)
  • Develop and optimize Snowflake data models — including dynamic tables, streams, tasks, and materialized views — for performance and reliability
  • Ingest and process structured and semi-structured data (CSV, JSON, Parquet) via automated ELT workflows
  • Write Python for data manipulation, automation, and pipeline development — following engineering best practices including testing, documentation, and code optimization
  • Manage version control and collaboration through GitHub, adhering to branching strategies and code review standards
  • Build and maintain CI/CD pipelines to automate testing, validation, and deployment of data assets
  • Contribute to data lake design and maintenance, ensuring data integrity, lineage, and quality standards
  • Build clean, AI-ready data layers that support agentic analytics and intelligent querying use cases on Snowflake Cortex
  • Contribute to semantic layer development alongside senior engineers, supporting clean, consistent data access patterns for AI and analytics consumers
  • Support the team's work in AI for analytics on Snowflake Cortex — executing on agent-driven workflows and automated insight pipelines under the guidance of senior engineers
  • Monitor and troubleshoot pipelines to ensure uptime, data quality, and SLA compliance
  • Implement testing frameworks within your transformation layer to validate accuracy and catch issues early
  • Identify opportunities to optimize pipeline performance, reduce latency, and lower compute cost
  • Partner with business analysts and Sales, Distribution, Operations, and Finance teams to translate requirements into technical solutions
  • Engage business stakeholders with a service-first mindset — proactively communicating, setting clear expectations, and following through
  • Document pipeline designs, data flows, and technical decisions to support team knowledge and auditability
  • Build relationships with global data engineering teams to align on standards and shared solutions
  • Contribute to the Analytics roadmap for short, medium, and long-term business needs
  • Innovate and enhance our data lakes and data fabric, ensuring alignment with business goals
  • Stay current with industry trends and emerging technologies, particularly in the Snowflake ecosystem and AI-driven analytics
  • Own your work end-to-end — manage priorities, track commitments in Jira, and don't wait to be asked
  • Collaborate openly across engineering, analytics, and business teams in a high-trust, low-bureaucracy environment
  • Bring a white-glove mindset to business stakeholders — responsive, clear, and solutions-oriented

Requirements

  • Hands-on experience with Snowflake, dbt, Dagster, and Python
  • Experience developing, implementing, and maintaining robust data pipelines and analytical solutions
  • Ability to interact directly with business stakeholders to transform business requirements into technical solutions
  • Service mindedness, a white-glove-service approach, communication skills, and pro-activity

Nice to Have

  • Experience with modern orchestration tools such as Airflow
  • Familiarity with Snowflake Cortex for AI and intelligent analytics
  • Experience contributing to semantic layer development
  • Knowledge of industry trends and emerging technologies in the Snowflake ecosystem and AI-driven analytics

Work Arrangement

On-site — Santa Monica, CA

Additional Information

  • This position is required to sit onsite in Santa Monica, CA
  • We are in the office 4 days per week with the 5th business day being remote
Required Skills
SnowflakePython
About company
Red Bull
The Media Technologies Engineer will work under the direction of the Manager of Media Technologies, supporting the Red Bull Media House (RBMH) infrastructure and post-production operations. This position is part of the enterprise IT department and will collaborate closely with both the IT infrastructure team and RBMH teams.The Media Technologies Engineer will be responsible for maintaining, troubleshooting, and deploying 24/7 post-production media systems that provide secure, highly available editing and finishing workflows. These systems include shared storage, media asset management, ingest and transcoding services, non-linear editing (NLE) applications, and archiving/backup platforms.The ideal candidate will have hands-on experience with modern post-production workflows in both on-premises and cloud-connected environments. Job Description: POST-PRODUCTION INFRASTRUCTUREMonitor system health and availability in a 24/7 post-production environment and respond to incidents.Support Elements and Dell PowerScale shared storage, including permissions, performance tuning, and client connectivity.Provide connectivity support for editing workstations, edit bays, and finishing suites (Windows and macOS).Support media asset management, including content indexing, search, and retrieval workflows.Support recording, ingest, transcoding, proxy generation, and media delivery tools and services.Maintain archive and backup workflows, including restoration, retention management, and overall media lifecycle management.POST-PRODUCTION WORKFLOW SUPPORTSupport the Media Technologies Manager in collaborating with editors, producers, and finishing teams to define and maintain day-to-day workflows.Troubleshoot issues with non-linear editing (NLE) applications—especially Adobe Premiere, Avid Media Composer, and DaVinci Resolve—as well as related integration points (including storage, MAM, transcoding, and review systems).Help optimize workflows for content handoff among field, post-production, and distribution teams.Provide end-user training and guidance on post-production systems and best practices.Offer direct technical support and collaboration to the Director of Post-Production and the post-production team to meet delivery deadlines and workflow requirements.Drive continuous improvements in system reliability, performance, and user experience.Provide event and on-location support for production workstations, end users, and recording workflows as needed.Stay current with post-production technology trends and standards and share relevant insights with the team.Assist in evaluating new tools and vendors, including performing basic testing and gathering stakeholder feedback.IT INFRASTRUCTUREExperienced in troubleshooting and configuring Linux, Windows, and macOS systems.Skilled in deploying, patching, and managing workstations and servers (both physical and virtual) using client management tools.Proficient in troubleshooting and configuring network services and devices (with a preference for Cisco) that support media workflows.Collaborates with enterprise support partners to define, implement, and maintain standards.Maintains on-premises and remote data center racks, cabling, and media technology equipment.Committed to continually enhancing digital security across post-production infrastructure and workflows.WAYS OF WORKINGWork collaboratively across functions with stakeholders in post-production, production, and IT.Provide regular updates and escalate risks, incidents, and decision points to the Media Technologies Manager as needed.Experience with ticketing systems and Agile/SCRUM methodologies is a plus.Communicate directly with end users to diagnose issues, set expectations, and provide status updates.Able to work effectively both as part of a team and independently as a self-starter. Qualifications: Strong understanding of production and post-production workflows, frame rates, codecs, and common media file formatsExtensive experience with creative workstation and server hardware in both physical and virtual environments5+ years of experience with IT infrastructure, including networking, servers, storage, and backup solutions5+ years of experience administering and troubleshooting Linux, macOS, and Windows, including deployment/imaging and endpoint management toolsSolid understanding of network topology and network troubleshooting (Cisco experience preferred)Experience with virtualization platforms (preferably Dell VxRail/VMware) and data center infrastructureExperience working with cloud services and environments, including cloud storage and compute resourcesScripting and automation experience is an advantageWorking knowledge of IT Service Management processes, including Incident, Problem, and Change managementDemonstrated ability to collaborate across teams in a global organization and to adhere to shared standardsStrong communication, documentation, and customer support skills, with an approachable, team-oriented mindsetStrong analytical, organizational, and prioritization skillsWillingness to work outside core business hours when necessaryBachelor’s degree or equivalent relevant professional experience Additional Information: This position is open to U.S. citizens, U.S. permanent residents, or individuals who are currently authorized to work in the United States on a valid visa. The base salary range for this position is $112,000 - 168,000 + cash incentives. Actual salary offers may vary based on work experience. The base pay range is subject to change and may be modified. Our current Benefits include: Comprehensive Medical, Dental and Vision Plans, 401k Match, Family Leave, PTO & Paid Holiday Schedule, Pet, Legal, and Life Insurance, Tuition Reimbursement (Benefits listed may vary depending on the nature of your employment and/or work location)Red Bull North America, Inc. is an Equal Opportunity Employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status, age, or any other classification protected by Federal, state, or local law. We will consider for employment all qualified Applicants, including those with Criminal Histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance.
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Job Details
Department Enterprise Analytics & Data Engineering
Category Data & ML
Posted 6 days ago