Senior Data Engineer, Streaming Platform

Univision communications inc; Miami (FL); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

PTO

Tuition reimbursement

Wellness program

Employee support programs

401(k)

Life insurance

Job summary

TelevisaUnivision is seeking a Senior Data Engineer to own end-to-end data pipelines for ViX, spanning real-time ingestion, batch processing, and analytics data warehouse development.

You will partner with Data Science, Analytics, Product, and Engineering to design scalable, cost-efficient solutions on Google Cloud Platform using BigQuery, Dataflow, and DBT. Strong collaboration and mentoring skills are valued.

Qualifications

• 7+ years of experience in Data Engineering, Data Warehousing, or Big Data environments.
• Advanced proficiency in Python and SQL.
• Hands-on experience building production-grade, end-to-end data pipelines.
• Strong experience with GCP: BigQuery, Cloud Storage, Pub/Sub, Dataflow, Cloud Composer; AWS experience considered.

Responsibilities

• Design, develop, and maintain scalable batch data pipelines using Airflow, Python, SQL, and dbt.
• Build real-time ingestion pipelines from Pub/Sub to BigQuery using Dataflow.
• Develop dimensional models in the analytics data warehouse for reporting and ML initiatives.
• Own pipelines end-to-end from design to production support, ensuring data quality and availability.
• Collaborate with product, data science, analysts, and engineering to meet requirements and optimize performance.

Skills

Python

SQL

Airflow

dbt

BigQuery

Pub/Sub

Dataflow

Cloud Composer

Spark

Terraform

Pulumi

Cloud Storage

AWS

Education

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

Tools

Airflow

dbt

BigQuery

Pub/Sub

Dataflow

Cloud Composer

Spark

Terraform

Pulumi

Job description

TelevisaUnivision is seeking a Senior Data Engineer to own end-to-end data pipelines for ViX, spanning real-time ingestion, batch processing, and analytics data warehouse development.

You will partner with Data Science, Analytics, Product, and Engineering to design scalable, cost-efficient solutions on Google Cloud Platform using BigQuery, Dataflow, and DBT. Strong collaboration and mentoring skills are valued.