Senior Software Engineer – Data, Backend

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November 20

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Soda

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SaaS • Enterprise • Artificial Intelligence

Soda is a GenAI-first platform focused on data quality and data observability. It helps organizations ensure their data products and pipelines are reliable by embedding declarative data quality checks into existing workflows. Soda provides a seamless experience for data validation, allowing monitoring of data quality health using out-of-the-box observability and tests. The platform offers integrations with existing tools and frameworks, making it suitable for various personas within data teams to contribute to maintaining high data standards. Soda is trusted by over 100 organizations to streamline their data quality processes in production environments.

11 - 50 employees

☁️ SaaS

🏢 Enterprise

🤖 Artificial Intelligence

💰 Series A on 2021-02

📋 Description

• Design and implement robust backend systems and data APIs in Java and Python • Design and build systems for streaming data ingestion, real-time observability, and large-scale data analytics • Lead efforts to make Soda’s platform even more robust, testable, and efficient, improving how we validate, benchmark, and scale our systems • Work with product and engineering teams to design new Data Observability and Data Quality features • Contribute to Soda Core, our open-source data testing and observability library • Participate in technical discussions, code reviews, and mentorship within the team

🎯 Requirements

• Strong proficiency in Python and comfort working with one or more additional backend languages such as Java, Go, or Rust • Proven experience building and maintaining data-centric backend services at scale and improving them through better testing, validation, benchmarking and scalability practices • Solid understanding of data engineering fundamentals, including pipelines, streaming and analytical processing • Good knowledge of SQL and modern data warehouses or lakehouses • Thorough understanding of software engineering best practices such as testing, CI/CD, design patterns, performance optimization, and observability • Proactive, independent, and comfortable working in a distributed team. • Excellent communication skills in English. • Good-to-haves • Experience with multi-tenant SaaS systems and large-scale data processing • Experience in high-growth startups or fast-paced product environments • Experience in the Data Quality, Data Observability, or ML monitoring industry • Contributions to open-source projects

🏖️ Benefits

• The opportunity to be a part of the exciting early stages of a well-funded, European-based Open Source start-up with significant traction and massive venture potential • Fully remote working environment with an option to work from our Belgian office when desired • Compensation: up to 120 000 EUR/year + equity