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TelevisaUnivision

Principal Data Engineer

TelevisaUnivision
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24 days ago
Miami, FL, USA or Los Angeles, CA, USAStaff+

Responsibilities

  • Set the architecture and multi-year technical direction for the ViX data platform.
  • Build reusable ingestion templates, dbt and Airflow patterns, frameworks, libraries, and infrastructure-as-code modules.
  • Design and lead real-time pipelines using Pub/Sub and Dataflow, including schemas, schema evolution, exactly-once processing, watermarking, and late-data handling.
  • Own data pipelines end to end through design, development, testing, deployment, and production support.
  • Ensure data quality, integrity, security, availability, observability, and governance across the data ecosystem.
  • Partner with Product Managers, Data Scientists, Analysts, and Engineering teams to translate requirements into scalable technical solutions.
  • Optimize storage, processing, orchestration, query performance, scalability, and cloud platform costs.
  • Monitor and troubleshoot pipeline and platform issues, lead severe-incident response, and drive postmortems and systemic fixes.
  • Mentor junior and mid-level data engineers through technical guidance, code reviews, and knowledge sharing.
  • Contribute to architecture decisions, technical interviews, engineering practices, and adoption of emerging AI-assisted engineering and LLM-enabled data tooling.

Requirements

  • 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.
  • At least 2 years in a tech-lead role setting technical direction across teams.
  • Demonstrated experience mentoring and developing junior and mid-level engineers.
  • Experience designing and operating high-volume real-time data platforms in production, including platforms processing billions of events per day.
  • Expert-level experience with GCP, especially BigQuery, Pub/Sub, Dataflow with Apache Beam, Cloud Composer with Airflow, and Cloud Storage; AWS experience is also considered.
  • Expert-level Python and SQL skills and production experience with dbt.
  • Deep knowledge of stream processing concepts including event time, processing time, windowing, watermarks, exactly-once delivery, and backpressure, with experience in Kafka, Flink, or Spark.
  • Understanding of analytics data modeling, including dimensional modeling, event modeling, and lakehouse table formats such as Apache Iceberg.
  • Strong experience with Pulumi or Terraform, CI/CD, and automated testing for data pipelines.
  • Demonstrated ownership of data reliability, including SLOs, data observability, incident management, and postmortems.
  • Demonstrated success reducing cloud data platform costs at scale.
  • Excellent written, verbal, and presentation skills for technical and executive audiences.
  • Preferred experience in subscription, streaming video, OTT, media, or sports organizations.
  • Preferred experience supporting ML and data science workloads, including feature pipelines, real-time features, recommendation, and personalization data.
  • Preferred experience with data contracts, schema registries, and data catalog or lineage tools.

Benefits

  • PTO, tuition reimbursement, wellness programs, and employee support programs.
  • 401(k), life insurance, and other insurance plans.
  • Medical, dental, and vision coverage options.
  • Applicants must be authorized to work full-time in the United States.

Tech Stack

Apache AirflowApache BeamApache FlinkApache KafkaApache SparkAWSdbtGoogle BigQueryGoogle Cloud PlatformPythonSQLTerraform

Categories

Data Engineering
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