Collaborate with people across teams and functions that hold deep curiosity for data.
Work with hefty data systems at the global scale of Strava.
Deliver value more through software, leaning into tooling and automation rather than repetitive toil.
Grow your expertise in the steadily evolving technologies and ecosystem of data.

Requirements

3+ years of experience developing data-intensive software using languages like Python, Scala, Java, Go, or Ruby
Comfortable reading and reasoning about SQL queries in data pipeline contexts
Hands-on experience working with distributed data processing tools like Spark, Flink, Kafka
Built or maintained data pipelines using cloud data warehouses like Snowflake, BigQuery, Redshift
Understand the underlying infrastructure needed to serve production data platforms including experience deploying and managing data infrastructure components

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonScalaJavaGoRubySQLSparkFlinkKafkaSnowflake

Soft Skills

collaborationcuriosityproblem-solvingadaptability