Data Engineer

About Ticketera

Ticketera is a Puerto Rico-based ticketing company that powers live events across the island. We connect fans with concerts, live entertainment, and major events, and we give venues and promoters the technology and operational support to run them successfully. We are a growing, technology-driven team investing in the platform and data capabilities that will shape the next stage of live entertainment in Puerto Rico.

About the role

As a Data Engineer, you will design, build, and maintain the data infrastructure that powers analytics and reporting across the company. You will integrate data from multiple operational systems into a unified data platform, build and maintain reliable pipelines, and ensure data is accurate, available, and accessible to the teams that depend on it. This is a hybrid role: beyond building the pipelines, you will work directly with the data to surface insights and lay the groundwork for analytics and data science. Working closely with stakeholders across the business, you will translate business questions into durable data solutions that support informed, day-to-day decision-making.

What you'll do

• 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

What we're looking for

• 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

Even better

• 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

How you'll be successful

• Own your daily work and proactively spot opportunities to improve workflows and processes
• Communicate roadblocks and progress against timelines early
• Understand how your work connects to broader business goals
• Contribute productively to team and company culture
• Collaborate well across the data function and with business counterparts