Senior Data Engineer

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.

Your Day-to-Day

• 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 & Experience

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

Benefits

• PTO
• Tuition reimbursement
• Wellness and employee support programs
• 401(k)
• Life and other insurance plans
• Comprehensive and competitive health benefits package featuring medical, dental, and vision coverage options