Job Description

Staff Software Engineer





We are Thrasio – Builders Welcome!

At Thrasio, we’re reimagining how to make the world’s most-loved products accessible to everyone. We work with successful sellers, using a deep understanding of rankings, ratings, and reviews – plus supply chain and marketing smarts – to transform the art and science of commerce. We estimate that 1 in 6 households has purchased a Thrasio product! And our goal is for all of those households to be truly delighted by their purchase.

What Makes Us Unique

At Thrasio, we’re in building mode: block by block we’re working together to construct a great company. What does that look like? Everyone is a leader – we lean into opportunities, not titles. We expect everyone to behave and act like a leader. Our Leadership Principles inform the ways we work together to ensure the brands, products and services we offer truly delight our customers. Everyone is a builder – whether it’s gaining marketable new skills through project sprints outside of your own function, or standing up more efficient ways of work – we’re doing it from the ground up. Everyone belongs– a sense of belonging brings us all together. We operate as One Team.


Do complex data ingestion challenges interest you? What about building data warehousing solutions to help our company scale as we ingest data from hundreds of sources as we continue to accelerate our brand acquisition? The Data Engineering Team at Thrasio is responsible for all aspects of data sourcing/crawling, data integration, and warehouse engineering, including the web scraping, monitoring, development, maintenance, and administration of our rapidly scaling data warehouse! We’re looking for a hands-on staff-level software engineer to help lead the effort in designing and building the systems that will help Thrasio scale into our next phase of growth.

Key Responsibilities:

  • Architect and build robust systems for managing large scale data processing
  • Work closely with Data Scientists, Data Analytics Engineers, and Analysts
  • Architect and build processes for monitoring data sanity and checking for data availability and reliability.
  • Build connectors integrating APIs from external systems.
  • Build data ingestion pipelines
  • Build web scrapers
  • Support batch and real-time data processing built on Airflow, Snowflake, dbt, and Spark
  • Collaborate cross-functionally with other engineering teams, business stakeholders, and project management to ensure high-quality deliverables are met on time.
  • Provide technical leadership to team, analyze tradeoffs of designs, and partner with team members to arrive at the most optimal solution.
  • Mentor junior engineers and establish best engineering practices across the team by doing code reviews and ensuring accurate code documentation.

Required Qualifications:

  • A minimum of a Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, Software Development, or a related field, or equivalent alternative education, skills, and/or practical experience is required
  • At least 8 years of experience in software engineering
  • Solid understanding of system design, data structures, and algorithms
  • Exceptional coding skills in a structured language (e.g. Python, Java, C#, C++, etc.)
  • Solid SQL skills

Nice to have skills:

  • Strong background in data warehouse principles, architecture, design and its implementation at large scale
  • Experience with AWS cloud services
  • Experience working with data orchestration tools such as Airflow and dbt