Senior Software Engineer, Data

What you'll do

What you bring

• 5+ years of software engineering experience building scalable, performant data platforms or backend services
• Strong proficiency in Python, PySpark, and SQL, with solid Computer Science fundamentals across data structures, algorithms, and relational/NoSQL databases (e.g., MongoDB)
• Experience building large-scale data processing pipelines using ETL/ELT, batch, and stream processing
• Familiarity with big data technologies such as Kafka, Spark, Iceberg, and data lakes, and the AWS stack (EKS, EMR, Glue, Athena, S3)
• Experience with data modeling, domain modeling, and system architecture, with a proven track record of writing clear, tested code
• Knowledge of security best practices and data privacy concerns, and a strong sense of ownership across the full development lifecycle
• Nice to have: experience with data processing platforms such as Databricks or Snowflake
• #LI-TD1
• Pay Transparency Disclosure
• We use geographic cost of labor as an input to develop ranges for our roles and as such, each location where we hire may have a different range. If this role is remote, we have listed the top to the bottom of the possible range, but we will specify the target range for an exact location when you are selected for a recruiting discussion. For more information on our compensation philosophy, see our website.