Senior Data Engineer

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 Senior Data Engineer will play a key role in the design, development, and deployment of our data platform. The ideal candidate will have a strong technical background in data engineering and be experienced in building and maintaining large‑scale data systems. The Senior Data Engineer will work closely with other teams, such as data science and product development, to understand their data needs and ensure initiatives are driven 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)

Strong proficiency in Python, SQL, and data transformation frameworks such as dbt

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

Data Platform Development

Design, develop, and maintain scalable, reliable, and efficient data pipelines using Airflow, Python, SQL, and dbt to support business requirements

Build and optimize data models and workflows to support analytics, reporting, machine learning, and product initiatives

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

Drive data architecture discussions and contribute to 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

Monitor, troubleshoot, and resolve data pipeline and platform issues

Implement best practices for data governance, observability, and operational excellence

Leadership & Team Contribution

Mentor and support junior data engineers through technical guidance and knowledge sharing

Contribute to architectural decisions and engineering best practices

Participate in technical interviews and help grow a high-performing data engineering team

Qualifications

Required Experience & Skills

Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related technical field

5+ years of experience in Data Engineering, Data Warehousing, or Big Data environments

Advanced proficiency in Python and SQL

Hands‑on experience building and maintaining production-grade data pipelines

Strong experience with cloud data platforms, preferably Google Cloud Platform (GCP); AWS experience will also be considered

Experience with workflow orchestration and transformation tools such as Airflow and dbt

Experience with Infrastructure as Code (IaC) tools such as Pulumi or Terraform

Solid understanding of distributed data processing frameworks, including Spark

Experience working with modern data warehousing and storage technologies

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

Must be willing to work from our Miami, Florida office

Employment and educational background verification required

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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