About Topsort
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. Founded in 2021, the company has grown rapidly, gaining customers in 40+ countries across retail, marketplaces, and delivery apps and is quickly approaching the #1 position in the industry.
What it’s like to work at Topsort
Our team is focused on straightforward communication, embraces feedback, and fosters a super collaborative environment. We thrive on working in the open, lifting each other up, and getting things done with a sense of urgency. The pace is fast—if it can be done today, we’re all about getting it done today.
What is this role like?
You will be a Data Engineer responsible for designing, building, and maintaining scalable data infrastructure and pipelines. You will collaborate with cross‑functional teams to ensure data systems are available, reliable, and efficient, enabling data‑driven decision‑making across the organization.
Responsibilities
- 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.
What (we think) you need to be successful
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 such as PostgreSQL, MySQL, Snowflake, BigQuery.Experience with data pipeline orchestration tools such as 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 (RisingWave, 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).Why it’s awesome to work at Topsort
Direct Feedback and Rapid Growth – 96% of Topsorters report that we work hard, set aggressive goals, and execute flawlessly to accomplish them. We give candid feedback, push each other to set higher goals, and produce more impact by always thinking "how do we do this faster and better".Be part of an elite and collaborative sports team – Startup scale‑up is like a team sport. We collaborate internally, compete externally, and are always focused on achieving results together.Company Offsite and Industry Exposure – Once a year, Topsorters get together as a whole and meet customers, spending time to gather feedback and grow together.Working Equipment and Hubs – Our team is global and centered around hubs. You’re welcome to create a hybrid work schedule, travel to other hubs to collaborate, and receive working devices and surprise swag for special events.Flexible PTO schedule with floating holidays – We encourage Topsorters to take time off and recharge, respecting different cultural norms with floating holidays tailored to your celebrations.Meditation App, Birthday and Anniversary Celebrations – We like little surprises and remember key moments to celebrate with you!Seniority level
Entry level
Employment type
Full‑time
Job function
Information Technology
Industries
Technology, Information and Internet
Location : Santiago, Santiago Metropolitan Region, Chile
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