Data Engineer

What you'll do:

• Design, build, and maintain scalable data pipelines and ETL processes
• Architect and optimize data models and storage solutions for analytics and operational use
• Collaborate with other data engineers to deliver trusted, high-quality datasets
• Own and evolve parts of our data platform, specifically the streaming pipeline and Data Lake
• Implement observability, alerting, and data quality monitoring for critical pipelines
• Drive best practices in data engineering, including documentation, testing, and CI/CD
• Contribute to the design and evolution of our next-generation data lakehouse architecture

What you bring:

• 4+ years of experience as a Data Engineer or Backend engineering role
• Strong programming skills in Java and Python
• Proficient in writing complex SQL and optimizing queries for performance
• Proficient in English, and strong communication skills, including the ability to speak to other engineers, analysts, and demo or explain new features to non-engineers
• Some experience using AWS cloud-native tools, like S3, SNS, SQS, EC2, or EMR

It's great if you also bring:

• Familiarity with streaming data pipelines or real-time processing
• Hands-on experience with distributed data tools  like Hadoop, HDFS, and Spark
• Know your way around Docker containers and the Linux command line
• Experience coding in Scala
• Exposure to HBase, Cassandra, or similar NoSQL data stores
• Experience using Databricks to write queries and notebooks
• Experience supporting data products in production
• An understanding of data privacy, security, and compliance best practices

Why you'll love working here:

• Data with purpose: Work on problems that directly impact how the world builds secure software
• Modern tooling: Leverage the best of open-source and cloud-native technologies, including very modern versions of Java
• Collaborative culture: Join a passionate team that values learning, autonomy, and impact