Data Engineer Data Pipelines and ETL

The Data Engineering team is hiring a Data Engineer Data Pipeline & ETL. You will help build and maintain scalable data platforms and ETL/ELT pipelines in a fast-moving environment. In this role, you will build and support batch and real-time data systems powering analytics, ML, and AI applications. You will also grow your expertise in modern data architecture and cloud-native best practices., Build and Maintain Scalable Data Pipelines

Design, develop, and maintain scalable batch and streaming data pipelines for large-scale structured and unstructured datasets.

Build robust ETL/ELT frameworks supporting analytics, BI, experimentation, and machine learning use cases.

Optimize pipelines for performance, reliability, scalability, and cost efficiency.

Implement advanced ingestion patterns including CDC, incremental loads, and event-driven processing.

Data Modeling & Data Warehouse Architecture

Design scalable, dimensional, and hybrid data models optimized for analytics and ML use cases.

Develop reusable transformation layers (semantic layers) that serve BI, ML, and AI applications.

Write optimized, production-grade SQL for large-scale analytics workloads.

Contribute to query optimization, indexing, partitioning, and performance tuning across distributed systems and cloud warehouses.

Modern Data Pipeline Development

Build and maintain modular data components following established framework patterns.

Contribute to architectural decisions across streaming systems, data lakes, and warehouses.

Data Quality, Governance & Observability

Implement automated data validation, anomaly detection, and monitoring frameworks.

Establish data lineage and metadata standards to support reproducibility in ML workflows.

Enforce governance, privacy, and security best practices, particularly for sensitive AI datasets.

Ensure responsible AI data usage and compliance standards.

24+ years of experience building and scaling ETL/ELT pipelines in production environments.

Experience with workflow orchestration tools such as Airflow, Composer, or similar platforms.

Strong understanding 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.

Strong 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.

Familiarity integrating data pipelines with ML platforms such as Vertex AI (preferred), Databricks ML, or equivalent.

Streaming & Event-Driven Systems

Experience building real-time data pipelines using Kafka, Pub/Sub, or similar technologies.

Understanding of feature streaming, low-latency data processing, and event-driven architectures.

Ability 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.

Familiarity with vector databases, embeddings pipelines, and AI-serving infrastructure is a plus., Bachelor’s or Master’s degree in Computer Science, Engineering, or related field (or equivalent experience).

24+ years of experience in data engineering, data pipeline development, or related fields.

Strong foundation in modern data engineering principles, distributed systems design, and cloud-native architectures.

Demonstrated ability to design and operate large-scale production data systems.

Proven track record of technical leadership and cross-functional collaboration.

Strong problem-solving skills and ability to thrive in complex, fast-paced environments.

Detail-oriented and committed to engineering excellence and continuous improvement.

Understanding of feature streaming, low-latency data processing, and event-driven architectures. Work closely with the streaming team and architect/build Realtime 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 with vector databases, embeddings pipelines, and AI-serving infrastructure is a plus.

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., * 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.

Skydance is an equal opportunity employer (EOE)

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, youll 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 youre energized by the opportunity to help build the next-generation global media and entertainment company powered by creativity and technology, wed be thrilled to welcome you aboard. LETS GO!, 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.