Principal Data Engineer

Univision communications inc; Florida; On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Health benefits

401(k) matching

PTO and wellness programs

Tuition reimbursement

Job summary

TelevisaUnivision in the United States is seeking a Principal Data Engineer to lead architecture and engineering for ViX data platform. You will design, implement, and deploy high-volume pipelines, mentor engineers, and partner with product and analytics teams to drive data-driven decisions.

You will shape multi-quarter strategy, ensure data quality and security, and optimize performance and cost across the data ecosystem while collaborating with executives and technical peers.

Qualifications

• 10+ years in data engineering, data warehousing, or big data environments.
• 2+ years in a tech-lead role setting technical direction across teams.
• Experience mentoring junior and mid-level engineers.
• Proven track record running real-time data platforms in production at scale.

Responsibilities

• Design platform architecture and technical strategy for data platform.
• Build reference implementations, frameworks, and reusable libraries.
• Lead real-time pipelines on Pub/Sub and Dataflow with exactly-once processing.
• Own pipelines end-to-end from design to production support.
• Ensure data quality, security, and availability across the data ecosystem.
• Collaborate with Product, Data Science, Analysts, and Eng teams.
• Drive cost efficiency and performance optimization for data storage and processing.
• Lead incident reviews and drive systemic fixes.
• Mentor engineers and contribute to architectural decisions.
• Evaluate emerging tech including AI-assisted data tooling.

Skills

GCP BigQuery

Pub/Sub

Dataflow

Cloud Composer

Cloud Storage

Python

SQL

dbt

Airflow

Pulumi

Terraform

Architecture design

Mentoring

Education

Bachelor's or Master's in Computer Science, Engineering, Information Systems, or related field

Tools

Pulumi

Terraform

Airflow

Job description

About the role & team

At TelevisaUnivision, we are the world's leading Spanish-language media company, reaching millions of consumers across digital, streaming, social, audio, linear television, and live events. As we continue expanding our global streaming platform, ViX, we are investing heavily in technology, data, and innovation to deliver exceptional subscriber experiences and drive long-term business growth. The Data Engineering team designs, builds, and operates the high-volume, high-velocity data pipelines that power ViX, including playback and engagement events, subscription data, advertising data, and the analytics data warehouse that turns them into business decisions. The team works closely with Engineering, Product, Data Science, and Analytics teams across TelevisaUnivision. The Principal Data Engineer will play a key role as a technical leader in the design, development, and deployment of our data platform. You will be critical in setting the architecture and multi-year technical direction for our data platform, stay hands-on with the hardest real-time and batch data problems, and mentor junior and mid-level engineers to raise the engineering bar across the team.

You are

You are a hands-on technical leader who designs platforms, not just pipelines. You are equally comfortable writing production code, defending an architecture in a design review, pairing with a junior engineer on a tricky problem, and explaining trade-offs to executives. You bring: Expert-level knowledge of Google Cloud Platform data services, especially BigQuery, Pub/Sub, Dataflow (Apache Beam), Cloud Composer, and Cloud Storage Deep experience designing real-time and event-driven architectures with exactly-once semantics, late-arriving data, and schema evolution Mastery of Python and SQL, and data transformation frameworks such as dbt A track record of setting technical direction for a platform used by many teams, and seeing it through multi-quarter delivery Experience with Infrastructure as Code (IaC) tools such as Pulumi or Terraform Excellent problem-solving skills with the ability to design scalable and efficient solutions Strong attention to detail and the ability to manage multiple priorities effectively Outstanding communication and collaboration skills, with the ability to partner across technical and non-technical teams A continuous improvement mindset and passion for mentoring and knowledge sharing A passion for mentoring junior engineers and building a strong engineering culture

Responsibilities

• Data Platform Architecture, Development & Technical Strategy
• Build reference implementations, frameworks, and reusable libraries that other engineers adopt, covering ingestion templates, dbt and Airflow patterns, and IaC modules in Pulumi
• Lead the design of real-time pipelines on Pub/Sub and Dataflow, including event schemas, schema registry and evolution, exactly-once processing, watermarking, and late-data handling
• Own assigned pipelines end to end, from design and development through testing, deployment, and production support
• Ensure data quality, integrity, security, and availability across the data ecosystem
• Cross-Functional Collaboration
• Partner with Product Managers, Data Scientists, Analysts, and Engineering teams to understand business requirements and translate them into technical solutions
• Contribute to data architecture discussions and long-term platform strategy
• Collaborate with stakeholders to identify opportunities for process improvements and operational efficiencies
• Performance & Optimization
• Optimize data storage, processing, and orchestration for performance, scalability, and cost efficiency, including BigQuery query and storage costs
• Monitor, troubleshoot, and resolve data pipeline and platform issues, and contribute to incident reviews
• Implement best practices for data governance, observability, testing, and CI/CD
• Lead incident response for severe data incidents, run blameless postmortems, and drive systemic fixes
• Leadership & Team Contribution
• Mentor and support junior data engineers through technical guidance, code reviews, and knowledge sharing
• Contribute to architectural decisions and engineering best practices
• Participate in technical interviews and help grow a high-performing data engineering team
• Evaluate and drive adoption of emerging technologies, including AI-assisted engineering workflows and LLM-enabled data tooling, while maintaining strong quality and security standards

Qualifications & Experience

• Required Experience & Skills Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related technical field, or equivalent experience
• 12+ years of experience in Data Engineering, Data Warehousing, or Big Data environments
• 2+ years in a Tech-lead role setting technical direction across teams
• Demonstrated experience mentoring and developing junior and mid-level engineers
• Proven track record designing and running real-time data platforms in production at high volume, for example billions of events per day
• Expert-level experience with GCP: BigQuery, Pub/Sub, Dataflow (Apache Beam), Cloud Composer (Airflow), and Cloud Storage; AWS experience will also be considered
• Expert-level Python and SQL, and production experience with dbt
• Deep knowledge of stream processing concepts: event time vs. processing time, windowing, watermarks, exactly-once delivery, and backpressure; Kafka, Flink, or Spark
• Expert understanding of data modeling for analytics, including dimensional modeling, event modeling, and lakehouse table formats such as Apache Iceberg
• Strong experience with Infrastructure as Code (Pulumi or Terraform), CI/CD, and automated testing for data pipelines
• Demonstrated ownership of data reliability: SLOs, data observability, incident management, and postmortems
• Demonstrated success reducing cloud data platform cost at scale
• Excellent written, verbal, and presentation skills, including design documents and communication with technical and executive audiences

Preferred Qualifications

• Experience in subscription, streaming video (OTT), media, or sports organizations, including playback quality, engagement, and ad-supported (AVOD) data
• Experience supporting ML and data science workloads: feature pipelines, real-time features, recommendation and personalization data
• Experience with data contracts, schema registries, and data catalog or lineage tools

Eligibility Requirements

Must be authorized to work in the United States Employment/education will be verified Applicants must be currently authorized to work in the United States on a full-time basis

Benefits

• PTO, tuition reimbursement, wellness and employee support programs, 401(k), and life and other insurance plans
• Comprehensive and competitive health benefits package featuring medical, dental, and vision coverage options

Equal Opportunity Employment

TelevisaUnivision is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to characteristics protected by law.

About TelevisaUnivision

TelevisaUnivision is the world's leading Spanish-language media company. Powered by the largest library of owned Spanish-language content and a prolific production capability, TelevisaUnivision is the top producer of original content in Spanish across news, sports and entertainment verticals. This original content powers all of TelevisaUnivision's platforms, which include market-leading broadcast networks Univision, Las Estrellas, Canal 5 and UniMás, and a portfolio of 38 cable networks, which include TUDN, Galavisión, Distrito Comedia and TL Novelas. The company also operates the leading Mexican movie studio, Videocine, and owns and operates the largest Spanish-language audio platform in the U.S. across 35 terrestrial stations and the Uforia digital platform. TelevisaUnivision is also the owner of ViX, the largest Spanish-language streaming platform in the world. For more information, please visit televisaunivision.com.

Sobre TelevisaUnivision

TelevisaUnivision es la compañía líder de medios en español en el mundo. Impulsada por la biblioteca propia más grande de contenido en español y una alta capacidad de producción, TelevisaUnivision es el más grande productor de contenido para las verticales de noticias, deportes y entretenimiento. Este contenido original es lo que impulsa las plataformas de TelevisaUnivision, que incluyen las cadenas de transmisión líderes Univision, las estrellas, Canal 5, y UniMás, y un portafolio de 38 canales de televisión de paga, que incluyen TUDN, Galavisión, Distrito Comedia, y TL Novelas. La compañía además opera el estudio de producción cinematográfica líder en México, Videocine, y posee y administra las plataformas más grandes de audio en español en Estados Unidos en 35 estaciones y la plataforma digital Uforia. TelevisaUnivision también es propietaria de ViX, el servicio de streaming en español más grande del mundo. Para más información, por favor visita televisaunivision.com.