Senior Engineer responsible for hands - on development of backend systems and user - friendly interfaces. Collaborating with founders to improve product and codebase for Hiive's liquidity platform.
About the role
- Intermediate Backend Engineer developing data infrastructure for Atreides’ analytics systems. Building data pipelines and deploying scalable services in cloud-native environments.
Responsibilities
- 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.
Requirements
- 3-5 years of experience in data engineering, ideally working with large-scale or geospatial systems.
- Proficiency in Python and SQL (Spark SQL preferred); experience with distributed data processing frameworks such as Spark, Flink, or Beam.
- Familiarity with orchestration frameworks (e.g., Airflow, Temporal, Dagster) and workflow automation principles.
- Experience with cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes).
- Exposure to batch and streaming architectures and understanding of modern data lake or lakehouse patterns (e.g., Iceberg, Delta, Hudi).
- Knowledge of geospatial data formats, processing libraries, and coordinate systems is a plus.
- Strong problem-solving skills and an interest in building reliable, scalable, and observable data systems.
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
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