- 4+ years of professional software development experience with a focus on data-intensive systems
- Working knowledge of AWS (S3, IAM, EC2, MSK or equivalents) and of instrumenting jobs with metrics, logs and alerts
- Experience with a data lake stack: parquet on object storage, a data catalog such as AWS Glue, and an open table format such as Apache Iceberg or Delta Lake
- Streaming experience: Kafka producers and consumers, Apache Flink, and/or Spark Structured Streaming
- Experience with a workflow orchestrator such as Apache Airflow: authoring DAGs, backfills, dependency management and on-call for scheduled pipelines
- Experience with open table format internals: schema evolution, partitioning, and compaction
- Experience with deploying services on Kubernetes with Docker
- Experience building and maintaining a data platform that powers a user-facing product including infrastructure and tools for streaming and batch data ingestion, building ETL pipelines, data permissions management, and data discovery.
- BS/MS/PhD in Computer Science, Mathematics, Physics or a related field, or equivalent practical experience
As part of our team you’ll enjoy
- Competitive compensation
- Exceptional benefits package
- Flexible Vacation & Paid Time Off
- Employer-matched 401(k) plan
The US base salary range for this full-time position is $135,000 - $185,000. Our salary ranges are determined by role, level, and location, and the range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location, role-related knowledge and skills, depth of experience, relevant education or training, and additional role-related considerations.
Depending on the position offered, equity, bonuses, commission, or other forms of compensation may also be provided as part of a total compensation package, in addition to a full range of medical, financial, and other benefits.
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