Data Engineer

Ticketera is a Puerto Rico-based ticketing company that powers live events across the island. As a Data Engineer, you will design, build, and maintain the data infrastructure that powers analytics and reporting, ensuring data is accurate and accessible to the teams that depend on it.

Responsibilities:

• Design, build, and maintain ingestion pipelines from operational source systems into a unified data platform, handling schema changes, semi-structured data, updates, and deletes
• Model and structure raw data into clean, reliable tables that analysts and stakeholders can use directly and trust
• Build and own ETL/ELT processes end to end with limited oversight
• Ensure data quality, availability, and accessibility; troubleshoot and resolve data issues at the source
• Partner with operations, finance, and leadership to translate business needs into data solutions, and provide technical guidance to data consumers
• Build pipelines and data systems that are reliable and scalable, with monitoring and alerting that catches issues before stakeholders do
• Enable analytics and data science across the business: prepare analysis-ready datasets, run exploratory analysis, and turn data into insights that inform decisions
• Establish foundational practices (version control, testing, documentation, monitoring) as the data function grows

Requirements:

• Strong, proactive communicator who can manage stakeholder expectations and translate business requirements into technical work
• Strong analytical and problem-solving skills, with the ability to maintain and debug data systems independently
• Comfortable working directly with data to explore, analyze, and answer business questions, not just move it from one place to another
• Proficiency in Python and SQL
• Hands-on experience with Spark (PySpark) and Databricks
• Experience with MongoDB or other document / NoSQL stores, including extracting and structuring semi-structured data
• Solid grasp of data modeling and ETL/ELT design
• Comfortable with the command line, git, and CI/CD workflows
• Experience with a major cloud platform (AWS, Azure, or GCP) and its core data services
• 3+ years on a data or software engineering team, or an equivalent track record
• Change data capture and streaming pipelines (MongoDB change streams, Kafka, Spark Structured Streaming)
• Delta Lake and Unity Catalog
• Experience reconciling data across multiple source systems
• Background with transactional, ticketing, e-commerce, or events data
• Hands-on data science: statistics, experimentation, or machine learning
• Data visualization and BI tools for dashboards and reporting
• Scala or Java
• Strong software design and architecture fundamentals
• Experience standing up a data warehouse or platform from an early stage