About this role

Design, implement, scale, and maintain backend systems that process large volumes of data.
Work on event-driven and API-based integrations.
Contribute to migration efforts toward a more domain-based and scalable architecture.
Build and optimize software for performance-sensitive workflows.
Investigate technical problems and propose solutions together with the team.
Collaborate closely with data science and engineering colleagues on technical solutions.
Participate in a collaborative development model where work is shared rather than handled alone.

10+ years of backend software engineering experience, with strong technical depth.
Familiarity with heavy data processing tools and technologies such as Spark, Apache ecosystem tools, Delta Lake, Parquet, Kafka, and Avro.
Experience with Python and/or PySpark.
Experience building or maintaining complex, real-time, high-volume systems with high-throughput and low-latency.
Experience with Docker, SQL, and NoSQL databases.
Experience with REST APIs and event-driven integrations.
Strong problem-solving skills and a proactive, collaborative working style.
Ability to communicate well with engineers and data science partners.
Academic Background: Computer science, computer engineering or a related field is preferred.

Staff Software Engineer – Data Solutions, Measurement

Key skills