Data Engineer Self Service Analytics and Real Time Data Platforms

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

Benefits offered by this job

Medical, dental, vision

401(k) plan

Paid time off

Job summary

Paramount is seeking a Data Engineer for the Self‑Service Analytics & Real‑Time Data Platforms team. You will design scalable ETL/ELT pipelines, build semantic layers, and enable governed, self‑service access to trusted data powering BI, analytics, AI apps, and conversational experiences.

Collaborate with Product, Analytics, BI, and Engineering to deliver data products; design data models for analytics and ML; implement observability, governance, and quality.

Qualifications

• 2–4+ years of data engineering experience in production.
• Strong SQL and data modeling for analytics and ML.
• Experience with cloud-native architectures and distributed systems.
• Experience building real-time data pipelines.
• Familiarity with ML data integration and AI platforms.

Responsibilities

• Design, build, and maintain scalable ETL/ELT pipelines.
• Develop semantic layers and curated data products.
• Enable self-service analytics with governed data models.
• Implement monitoring and data quality practices.
• Partner with Product, Analytics, BI, and Engineering teams.
• Drive real-time dashboards and AI-ready data platforms.

Skills

ETL/ELT pipelines

Airflow/Composer

SQL for analytics

Python for data processing

Spark

Real-time data platforms

ML data preparation

Data modeling for analytics

Cloud data architectures

Cross-functional collaboration

Education

Bachelor's or Master's in CS/Engineering or related

Tools

Airflow

Composer

Spark

Vertex AI

Databricks ML

Kafka

Pub/Sub

Superset

BigQuery

Job description

#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.

Data Modeling & Platform Architecture

• 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.
• Proven experience optimizing complex queries across multi‑terabyte datasets.

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.

Streaming & Event‑Driven Systems

• 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.

Cloud & Modern AI Data Platforms

• 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.

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.

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.