Senior Data Engineer

Univision communications inc; Florida; On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

PTO

Tuition reimbursement

Wellness and employee support programs

401(k)

Life and other insurance plans

Comprehensive health benefits package

Job summary

Univision communications inc, a leader in Spanish-language media, is seeking a Senior Data Engineer to design, develop, and deploy data platforms. The role involves working with Python, SQL, and Google Cloud Platform, while mentoring junior engineers.

The ideal candidate will have extensive experience in data engineering and cloud technologies. Benefits include a competitive health package, 401(k), and tuition reimbursement.

Qualifications

• 5+ years of experience in Data Engineering, Data Warehousing, or Big Data environments.
• Hands-on experience building and maintaining production-grade data pipelines.
• Solid understanding of distributed data processing frameworks, including Spark.

Responsibilities

• Design, develop, and maintain scalable data pipelines using Airflow, Python, SQL, and dbt.
• Build and optimize data models and workflows to support analytics and reporting.
• Monitor, troubleshoot, and resolve data pipeline and platform issues.

Skills

Python

SQL

Data engineering

Google Cloud Platform (GCP)

Airflow

dbt

Spark

Education

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

Tools

Terraform

Pulumi

Job description

At TelevisaUnivision, we are the world's leading Spanish-language media company. The Senior Data Engineer will play a key role in the design, development, and deployment of our data platform.

Responsibilities

• 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.
• 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.
• 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.
• 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

• 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 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 for designing scalable and efficient solutions.
• Strong attention to detail and ability to manage multiple priorities.
• Outstanding communication and collaboration skills, partnering across technical and non‑technical teams.
• Continuous improvement mindset and passion for mentoring and knowledge sharing.
• Required: 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 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 with modern data warehousing and storage technologies.
• Strong analytical, troubleshooting, and problem‑solving abilities.
• Preferred: Experience supporting machine learning and data science workflows; familiarity with data observability, data quality frameworks, and CI/CD practices; experience in subscription‑based, media, streaming, or digital product organizations.
• 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.

Benefits

• PTO, tuition reimbursement, wellness and employee support programs, 401(k), and life and other insurance plans.
• Comprehensive 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.