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Data Engineer

Topsort

Salary not specified
Oct 20, 2025
Somerville, MA, US
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Topsort is looking to solve the business problem 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. They aim to make advertising intuitive, intelligent, and genuinely cool, without creepy ads or cookie-obsession. The Senior Data Engineer will enable data-driven decision-making across the organization by ensuring the availability, reliability, and efficiency of data systems.

Requirements

  • Strong proficiency in SQL and database technologies with (e.g., PostgreSQL, MySQL, Snowflake, BigQuery).
  • 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.

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.

Other

  • 2+ years of experience in data engineering or a related field.
  • Strong problem-solving skills and the ability to work independently and collaboratively.
  • Work onsite at one of our offices in Santiago, Sao Paulo or Mexico City 4 days a week.
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Real-time data processing and streaming architectures (RisingWave, Kafka, Flink).