Data Engineer Self Service Analytics and Real Time Data Platforms

About Paramount Paramount is a leading media and entertainment company that creates premium content and experiences for audiences worldwide. Driven by iconic studios, networks and streaming services, Paramount's portfolio of consumer brands includes CBS, Showtime Networks, Paramount Pictures, Skydance Animation, Skydance Sports, Nickelodeon, MTV, Comedy Central, BET, Paramount+, Skydance Games, and Pluto TV, among others. Paramount delivers the largest share of the U.S. television audience and boasts one of the industry's most important and extensive libraries of TV and film titles. In addition to offering innovative streaming services and digital video products, the company provides powerful capabilities in production, distribution and advertising solutions.

Paramount

P

paramount.com

10,001+ employees

Entertainment Providers

New York

Public Company

759k LinkedIn followers

• 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!
• Design, develop, and maintain scalable batch (ETL/ELT) and near real-time
• streaming data pipelines. These pipelines will process large-scale structured
• and unstructured datasets.
• Design and maintain semantic layers, metrics frameworks, and curated data
• products.
• Enable self-service analytics through governed and reusable business data
• models.
• Implement monitoring, observability, and operational best practices.
• Develop governed data access patterns for AI, conversational analytics, and
• MCP-based applications.
• Build AI-ready data products that support machine learning, GenAI, AI agents,
• and chatbot applications.
• Partner with Product, Analytics, BI, and Engineering stakeholders to deliver
• trusted data solutions.
• Design scalable data models optimized for analytics, real-time reporting, and
• AI use cases.
• Develop reusable semantic and transformation layers that provide consistent
• business definitions.
• Drive best practices for data quality, governance, metadata, and
• discoverability.
• 2–4+ years of experience building and scaling ETL/ELT pipelines in production
• environments.
• Proven experience with workflow orchestration tools such as Airflow,
• Composer, or similar platforms.
• Working knowledge of distributed data processing concepts.
• Expert-level SQL skills for large-scale transformation and analytics.
• Experience designing scalable warehouse schemas and ML-ready data layers.
• Proven experience optimizing complex queries across multi-terabyte datasets.
• pipeline integration.
• Experience with distributed processing frameworks such as Spark.
• Experience integrating data pipelines with ML platforms such as Vertex AI
• (preferred), Databricks ML, or equivalent. This includes model training,
• batch/online inference, and pipeline orchestration.
• Experience building real-time data pipelines using Kafka, Pub/Sub, or similar
• technologies.
• Knowledge of feature streaming, low-latency data processing, and event-driven
• architectures.
• Ability to work closely with the streaming team to architect and build
• real-time dashboards using Superset.
• Experience designing cloud-native data architectures (GCP preferred).
• Experience with lakehouse architectures and cloud data warehouses.
• Knowledge of vector databases, embeddings pipelines, and AI-serving
• infrastructure is a plus.

• Bachelor's or Master's degree in Computer Science, Engineering, or a related
• field (or equivalent experience).
• 2–4+ years of experience in data engineering, data pipeline development, or
• related fields.
• Solid foundation in modern data engineering principles, distributed systems
• design, and cloud-native architectures.
• Demonstrated ability to design and operate large-scale production data
• systems.
• Excellent problem-solving skills with the ability to work in dynamic,
• high-velocity environments.
• Motivated, thorough, and committed to engineering excellence and ongoing
• improvement.
• Paramount Streaming, a division within Paramount Global, is the home to the
• company's direct-to-consumer services spanning free and paid in the form of
• Pluto TV and Paramount+. Pluto TV is the global leader in free ad-supported TV,
• delivering more than 1,400 global channels and an extensive library of streaming
• content, including live and original channels. Paramount+, digital subscription
• video-on-demand and live streaming service, combines live sports, breaking news,
• and A Mountain of Entertainment™. Paramount+ features an expansive library of
• original series, hit shows and popular movies across every genre from
• world-renowned brands and production studios, including SHOWTIME®.

• Attractive compensation and comprehensive benefits packages. Check out our
• full list of benefits here [http://www.skydance.com/careers/benefits].
• Generous paid time off.
• Complimentary subscriptions to HBO Max, Paramount+, and other Skydance
• streaming services and digital news products.
• Robust employee engagement opportunities, including access to exclusive
• screenings and events, speaker series, volunteer activities and more.
• We embrace the opportunity to build a workforce that reflects a wide array of