Sr. Data Engineer

Our Global Technology & Operations - Business Systems Team is adding two Sr. Data Engineers to the team. These roles will partner with a fast-paced team to design and deliver senior-level data technology solutions that enable actionable insights and support the development of next-generation digital products and strategies. The positions also contribute to building and optimizing internal data pipelines to advance the organization’s digital data strategy.

Role & Responsibilities:

• Analyze brand and enterprise data warehouse and reporting requirements to inform data architecture, modeling, and design decisions.

• Design and implement scalable ETL/ELT processes, database queries, and data access models to support reliable data aggregation and insight delivery.

• Develop high-quality, efficient, and maintainable code that meets business and technical requirements.

• Demonstrate a continuous learning mindset and proactively adopt improvements in daily engineering practices.

• Deliver end-to-end JIRA user stories in alignment with team quality standards.

• Collaborate with cross-functional and matrixed teams, including Operations, Technology, PMO, Product, and Data Strategy/Insights, to design, build, test, and deploy data warehouse solutions and reporting tools.

• Perform ad hoc data analysis across multiple datasets to support various business units.

• Participate in quality assurance testing for data pipeline initiatives and enhancements to analytics platforms.

Ecosystems, Team Player, Entertainment and Media, Business Solutions, Data Management, Product Strategy, Technical Operations, Data Warehousing, Analysis Skills, Data Modeling, * Bachelor’s degree in computer science or similar discipline.

• 5+ years of experience in software/data engineering.

• Proficiency in one of the modern programming language JavaScript/TypeScript, React.js, Node.js, and Python.

• Experience with backend frameworks like Express.js, Django, or FastAPI.

• Strong understanding of RESTful APIs, GraphQL, and microservices architecture.

• Advanced working SQL knowledge and experience working with big data platforms e.g. Snowflake, Databricks.

• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

• Experience building and optimizing ‘big data’ data pipelines, architectures, and data sets.

• Experience with AWS cloud services - Athena, Quick sight, Kinesis, Lambda, IAM Policies.

• Experienced in software delivery through continuous integration (for example git, bitbucket, Jenkins, etc.).

• Experience with data pipeline and workflow management tools e.g., airflow.

• Experienced with Atlassian Suite (JIRA, Confluence).

• Strong familiarity with CI/CD pipelines is essential for automating testing and deployment processes to ensure efficient and reliable software delivery.

Storytelling is, and will always be, the heart of what we do at Skydance.

Our vision is to build a thriving entertainment ecosystem where stories and worlds are imagined, brought to life and experienced. We create for every age and audience, anchored by the strength of our content and experiences and the depth of our connection with fans. We are creator-first, audience-focused, tech-forward, globally scaled.

Here, you’ll work with talented teams that move fast, think boldly and collaborate with purpose to deliver results. We aim high, champion the best ideas and win together, earning the trust of our employees, creators, partners and audiences every day.

If you’re energized by the opportunity to help build the next-generation global media and entertainment company powered by creativity and technology, we’d be thrilled to welcome you aboard. LET’S GO!, Skydance is a next-generation global media and entertainment company, comprised of three business segments: Studios, Direct-to-Consumer, and TV Media. Skydance’s portfolio unites legendary brands, including Paramount, Warner Bros., HBO and HBO Max, Paramount+, Pluto TV, CBS, CNN, CBS Sports, TNT Sports, Nickelodeon, Cartoon Network, MTV, Food Network, BET, HGTV, and Comedy Central.