Principal Data Engineer

Build and lead the platform behind ViX at Univision communications inc. In this on-site role in Miami, FL, you will design, develop, and deploy a high-volume data platform that supports real-time and batch pipelines, along with an analytics data warehouse used to drive business decisions. You will combine hands-on work in streaming and distributed systems with technical strategy, while mentoring engineers and partnering across Product, Data Science, Analytics, and Engineering.

What you will do

• Develop reference implementations, frameworks, and reusable libraries, including ingestion templates, dbt and Airflow patterns, and Infrastructure as Code modules in Pulumi
• Lead real-time pipeline design 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
• Partner with Product Managers, Data Scientists, Analysts, and Engineering teams to translate business requirements into technical solutions
• Contribute to data architecture discussions and long-term platform strategy
• Improve operational efficiency by collaborating with stakeholders and identifying process improvements
• Optimize storage, processing, and orchestration for performance, scalability, and cost efficiency, including BigQuery query and storage costs
• Monitor, troubleshoot, and resolve pipeline and platform issues, contributing 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
• Mentor and support junior data engineers through technical guidance, code reviews, and knowledge sharing
• 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

Skills and experience required

• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or 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 knowledge of Google Cloud Platform data services, especially BigQuery, Pub/Sub, Dataflow (Apache Beam), Cloud Composer, and Cloud Storage
• Deep experience with real-time and event-driven architectures, including exactly-once semantics, late-arriving data, and schema evolution
• Mastery of Python and SQL, plus transformation frameworks such as dbt
• Deep knowledge of stream processing concepts: event time vs. processing time, windowing, watermarks, exactly-once delivery, and backpressure; experience with Kafka, Flink, or Spark
• Expert understanding of analytics data modeling, including dimensional modeling, event modeling, and lakehouse table formats such as Apache Iceberg
• Strong experience with Infrastructure as Code tools (Pulumi or Terraform), CI/CD, and automated testing for data pipelines
• Ownership experience across data reliability: SLOs, data observability, incident management, and postmortems
• Demonstrated success reducing cloud data platform costs at scale
• Excellent written, verbal, and presentation skills, including design documents and communication with technical and executive audiences

Helpful background (preferred)

• 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

Team context

The Data Engineering team designs, builds, and operates 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 across TelevisaUnivision.

Benefits

• PTO
• Tuition reimbursement
• Wellness and employee support programs
• 401(k)
• Life and other insurance plans
• Medical coverage
• Dental coverage
• Vision coverage options

Eligibility

• 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