Atreides is seeking an Intermediate Data Engineer to develop data infrastructure that powers the company's core analytics systems. The ideal candidate will have experience in data engineering, proficiency in Python and SQL, and knowledge of distributed data processing frameworks and cloud platforms.
Requirements
- Design and build cloud-based data pipelines for ingesting, transforming, and storing large volumes of data.
- Implement scalable, fault-tolerant systems using modern frameworks such as Spark, Temporal, Airflow or Dagster.
- Develop APIs and services that expose reliable data access, transformation, and orchestration capabilities.
- Contribute to geospatial data processing workflows using tools such as Apache Sedona and native Iceberg geospatial functionality.
- Assist in developing and maintaining shared platform tooling and libraries that improve productivity and promote self-service capabilities across engineering and analytics teams.
- Monitor, tune, and troubleshoot the performance, cost, and reliability of data infrastructure components.
- Collaborate closely with cross-functional teams to ensure platform systems integrate smoothly with analytics, visualization, and downstream applications.
Benefits
- Competitive salary
- Comprehensive health, dental, and vision insurance plans
- Flexible remote work environment
- Additional benefits like flexible hours, work travel opportunities, competitive vacation time and parental leave