Senior Data Engineer
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Before you apply
SalaryNo pay range posted
LocationMiami, FL; Los Angeles, CA
Typefull-time
SenioritySenior
Experience7+ yrs
DepartmentData Engineering
Company size10,000+ people
PostedOct 19, 2026 · 2w ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related technical field
7+ years of experience in Data Engineering, Data Warehousing, or Big Data environments
Advanced proficiency in Python and SQL
Hands-on experience building and owning production-grade, end-to-end data pipelines
Strong experience with Google Cloud Platform (GCP), including BigQuery, Cloud Storage, Pub/Sub, Dataflow, and Cloud Composer; AWS experience will also be considered
Experience with workflow orchestration and transformation tools such as Airflow and dbt
Experience building real-time or near-real-time data pipelines
Strong understanding of data warehousing best practices, including relational and dimensional modeling
Experience with Infrastructure as Code (IaC) tools such as Pulumi or Terraform
Solid understanding of distributed data processing frameworks, including Spark
Strong analytical, troubleshooting, and problem-solving abilities
Experience supporting machine learning and data science workflows
Familiarity with data observability, data quality frameworks, and CI/CD practices
Experience working within subscription-based, media, streaming, or digital product organizations
Must be authorized to work in the United States
Employment/education will be verified
Skills
Google Cloud Platform (GCP)
BigQuery
Pub/Sub
Dataflow
Cloud Composer
Python
SQL
dbt
Airflow
Spark
Hadoop
Terraform
Pulumi
AWS
Benefits
PTO
Tuition reimbursement
Wellness programs
Employee support programs
401(k)
Life insurance
Health insurance
Dental insurance
Vision insurance
ABOUT THE ROLE & TEAM:
About the company
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 Senior Data Engineer will play a key role in the design, development, and deployment of our streaming data platform. You will own production data pipelines end to end, from real-time ingestion through modeled, analytics-ready data, and partner with data science, analytics, and product teams to understand their data needs and drive initiatives to completion.
The ideal candidate combines strong technical expertise with a collaborative mindset, a passion for solving complex data challenges, and a commitment to delivering high-quality solutions at scale.
ABOUT YOU:
You are a data engineering professional who thrives in a fast-paced, collaborative environment and enjoys transforming complex data into actionable business value.
You bring:
· Deep expertise in modern cloud-based data platforms, particularly Google Cloud Platform (GCP), including BigQuery, Pub/Sub, Dataflow, and Cloud Composer
· Strong proficiency in Python, SQL, and data transformation frameworks such as dbt
· Hands-on experience building both batch and real-time (streaming) data pipelines at scale
· Experience working with large-scale distributed systems and big data technologies, including Spark and Hadoop
· 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
Responsibilities
YOUR DAY-TO-DAY: (Responsibilities)
Data Platform Development
· Design, develop, and maintain scalable, reliable, and efficient batch data pipelines using Airflow (Cloud Composer), Python, SQL, and dbt
· Build and maintain real-time ingestion pipelines that land event data from Pub/Sub into Cloud Storage and BigQuery using Dataflow
· Build and optimize dimensional data models and workflows in the analytics data warehouse to support reporting, analytics, machine learning, and product initiatives
· 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
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
YOU HAVE: (Qualifications, Experience)
Required Experience & Skills
· Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related technical field
· 7+ years of experience in Data Engineering, Data Warehousing, or Big Data environments
· Advanced proficiency in Python and SQL
· Hands-on experience building and owning production-grade, end-to-end data pipelines
· Strong experience with Google Cloud Platform (GCP), including BigQuery, Cloud Storage, Pub/Sub, Dataflow, and Cloud Composer; AWS experience will also be considered
· Experience with workflow orchestration and transformation tools such as Airflow and dbt
· Experience building real-time or near-real-time data pipelines
· Strong understanding of data warehousing best practices, including relational and dimensional modeling
· Experience with Infrastructure as Code (IaC) tools such as Pulumi or Terraform
· Solid understanding of distributed data processing frameworks, including Spark
· Strong analytical, troubleshooting, and problem-solving abilities
Preferred Qualifications
· Experience supporting machine learning and data science workflows
· Familiarity with data observability, data quality frameworks, and CI/CD practices
· Experience working within subscription-based, media, streaming, or digital product organizations
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
OUR BENEFITS:
TelevisaUnivision believes that a happy, well-balanced employee is what makes our culture thrive. We offer a wide selection of perks and benefits including PTO, tuition reimbursement, wellness and employee support programs, 401(k), and life and other insurance plans.
This is in addition to a comprehensive and competitive health benefits package featuring medical, dental, and vision coverage options.
TelevisaUnivision is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to characteristics protected by law.
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