Data Engineer

We’re quickly growing and super excited for you to join us!

At Topsort, we believe in the mission of democratizing the secret technologies of the walled gardens and creating a privacy‑first cookie‑free world of clean advertising with modern tech, friendly products, and AI. We believe in making advertising intuitive, intelligent, and genuinely cool, without any of the creepy ads or cookie‑obsession (well, maybe just the chocolate ones). In a rapidly changing industry, we’re on a mission to democratize monetization access for all and ensure that advertising doesn’t leave any brand or seller feeling confused or overwhelmed.

Today, Topsort has 5 major hubs worldwide, and employees in 13+ countries, including Menlo Park, Boston, Santiago Chile, Sao Paulo Brazil, Barcelona Spain, and Sydney Australia. We are a truly global company that was born in the pandemic that’s had rapid growth since out of a genius product, a customer‑first mentality, and a hardworking team of talented individuals. Since our founding in 2021, we’ve gained customers in retail, marketplaces, and delivery apps in 40+ countries and quickly approaching the #1 position in the industry.

Do you enjoy a fast‑paced environment? Do you like seeing your work create real‑time impact, being part of a rocket ship from the very beginning? Let’s do the unimaginable – let’s make ads clean and cool again, with AI and modern technology.

Our team is all about straightforward communication, embracing feedback without taking it personally, and fostering a super collaborative environment. It’s a sports team that’s hyper focused on winning, collaborative internally, and competitive externally – never the other way around. We thrive on working in the open, lifting each other up, and getting things done with a sense of urgency. We’re the kind of team that loves making bold choices, sharing extraordinary opinions, and maintaining a 100 mph pace.

No endless meetings here — if it can be done today, we’re all about getting it done today.

As a Senior Data Engineer
, you will be responsible for designing, building, and maintaining scalable data infrastructure and pipelines. You will collaborate with cross‑functional teams to ensure the availability, reliability, and efficiency of data systems, enabling data‑driven decision‑making across the organization.

• Design, develop, and maintain robust ETL/ELT pipelines to process and transform large datasets efficiently.
• Optimize data architecture and storage solutions to support analytics, machine learning, and business intelligence.
• Work with cloud platforms (AWS) to implement scalable data solutions.
• Ensure data quality, integrity, and security across all data pipelines.
• Collaborate with data scientists, analysts, and software engineers to support data‑driven initiatives.
• Monitor and troubleshoot data workflows to ensure system performance and reliability.
• Create APIs to provide analytical information to our clients.

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 2+ years of experience in data engineering or a related field.
• Strong proficiency in SQL and database technologies with (e.g., Postgre
  
  SQL, MySQL, Snowflake, Big Query).
• Experience with data pipeline orchestration tools (e.g., Apache Airflow, Prefect, Dagster).
• Proficiency in programming languages such as Python and Scala.
• Hands‑on experience with AWS cloud data services.
• Familiarity with big data processing frameworks like Apache Spark.
• Knowledge of data modeling, warehousing concepts, and distributed computing.
• Experience implementing CI/CD for data pipelines.
• Real‑time data processing and streaming architectures (Rising Wave, Kafka, Flink).
• Database performance tuning and query optimization.
• Strong problem‑solving skills and the ability to work independently and collaboratively.
• ETL/ELT pipeline development and automation.
• Cloud computing and infrastructure management on AWS (nice to have).
• Work onsite at one of our offices in Santiago,…