Data Engineer Self Service Analytics and Real Time Data Platforms

Paramount Pictures; Burbank (CA); On-site; USD 98,400 - 147,600; Full time

Benefits offered by this job

Bonus eligible

Job summary

Paramount Pictures in Burbank is seeking a Data Engineer for Self-Service Analytics & Real-Time Data Platforms. You will build scalable data products, semantic layers, and real-time data platforms enabling trusted, governed self-service access to data powering BI, analytics, AI applications and chatbot experiences.

You will collaborate with Product, Analytics, BI, and Engineering teams to deliver data solutions, design scalable models for analytics and real-time reporting, and implement

Qualifications

• 2–4+ years building and scaling ETL/ELT pipelines in production.
• Workflow orchestration tools such as Airflow, Composer, or similar platforms.
• SQL & Data Modeling for Analytics & ML
• Expert-level SQL for large-scale transformation and analytics.
• Design scalable warehouse schemas and ML-ready data layers.

Responsibilities

• Design, develop, and maintain scalable batch (ETL/ELT) and near real-time streaming data pipelines.
• Design and maintain semantic layers, metrics frameworks, and curated data products.
• Enable self-service analytics through governed, 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 to support ML, 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 providing consistent business definitions.
• Drive data quality, governance, metadata, and discoverability.

Skills

ETL/ELT pipelines

Airflow/Composer

Distributed processing

SQL for analytics

ML data modeling

Real-time data platforms

Education

Bachelor's or Master's in CS/Engineering

Tools

Airflow

Spark

Vertex AI

Databricks ML

Kafka

Superset

Job description

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Data Engineer Self Service Analytics and Real Time Data Platforms

45939

Research

Burbank

Full-Time

On-Site

#WeAreParamount on a mission to unleash the power of content ... you in?

We’ve got the brands, we’ve got the stars, we’ve got the power to achieve our mission to entertain the planet – now all we’re missing is ... YOU! Becoming a part of Paramount means joining a team of passionate people who not only recognize the power of content but also enjoy a touch of fun and uniqueness. Together, we co-create moments that matter – both for our audiences and our employees – and aim to leave a positive mark on culture.

Overview

The Data Engineering team is seeking a Data Engineer – Self-Service Analytics & Real-Time Data Platforms. In this role, you will help build scalable data products, semantic layers, and real-time data platforms. These platforms enable trusted, governed, and self-service access to data. You will develop solutions that power BI, analytics, experimentation, AI applications, agents, and conversational analytics experiences.

Key Responsibilities

Self-Service Analytics & Real-Time Data Platforms

• 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.

Required Technical Skills

Advanced Data Pipeline & ETL/ELT Expertise

• 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.
• SQL & Data Modeling for Analytics & ML
• Expert-level SQL skills for large-scale transformation and analytics.
• Experience designing scalable warehouse schemas and ML-ready data layers.

Programming & ML Data Integration

• Proficiency in Python (or similar language) for data processing and ML 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 with lakehouse architectures and cloud data warehouses.
• Knowledge of vector databases, embeddings pipelines, and AI-serving infrastructure is a plus.

Qualifications

• 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 EntertainmentTM. 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®.

Additional Information

Hiring Salary Range: $98,400.00 - 147,600.00.

The hiring salary range for this position applies to New York, California, Colorado, Washington state, and most other geographies. Starting pay for the successful applicant depends on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education. The benefits available for this position include medical, dental, vision, 401(k) plan, life insurance coverage, disability benefits, tuition assistance program and PTO or, if applicable, as otherwise dictated by the appropriate Collective Bargaining Agreement.This position is bonus eligible.

What We Offer:

• Attractive compensation and comprehensive benefits packages. Check out our full list of benefits here: https://www.paramount.com/careers/benefits
• Generous paid time off.
• An exciting and fulfilling opportunity to be part of one of Paramount’s most dynamic teams.
• Opportunities for both on-site and virtual engagement events.
• Unique opportunities to make meaningful connections and build a vibrant community, both inside and outside the workplace.
• Explore life at Paramount: https://www.paramount.com/careers/life-at-paramount

Paramount is an equal opportunity employer (EOE) including disability/vet.

At Paramount, the spirit of inclusion feeds into everything that we do, on-screen and off. From the programming and movies we create to employee benefits/programs and social impact outreach initiatives, we believe that opportunity, access, resources and rewards should be available to and for the benefit of all. Paramount is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, and Veteran status.

If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access https://www.paramount.com/careers as a result of your disability. You can request reasonable accommodations by calling 212.846.5500 or by sending an email to [e-mail]. Only messages left for this purpose will be returned.