Staff Software Engineer, Data Products
Tasks
- Define shared feature definitions across models
- Design batch and streaming pipelines for ML ready datasets
- Design build maintain reusable feature datasets for machine learning
- Ensure data quality with testing anomaly detection schema validation pipeline monitoring
- Establish self service dataset creation foundations
- Improve reproducibility by standardizing feature computation
- Mentor engineers on distributed data processing and scalable data modeling
- Optimize distributed processing for performance scalability cost
- Support near real time feature generation
- Transform validate and publish production grade datasets
- Translate modeling requirements into production feature pipelines
Perks/Benefits
- 401k retirement savings plan
- Flexible time off
- Generous parental leave
- Health, dental, and vision insurance
- Lifestyle spending account mental health support solutions
- Remote first work from home
Skills/Tech-stack
AWS | AWS Lambda | Amazon Athena | Amazon Redshift | Amazon S3 | Anomaly Detection | Apache Airflow | Apache Flink | Apache Kafka | Apache Spark | CI/CD | Data Quality | Databricks | Docker | Feature Store | Iceberg | Java | Kubernetes | Lakehouse Architecture | MLOps | Observability | PostgreSQL | Python | SQL | Scala | Schema Validation | Snowflake | Spark Structured Streaming | Streaming Data | Structured Streaming
Education
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