Senior Data Engineer
Tasks
- Apply infrastructure as code practices
- Build batch and streaming pipelines
- Collaborate with ML engineers on feature pipelines
- Design ETL and ELT processes
- Ensure data quality and data governance
- Implement data monitoring and drift detection
- Integrate REST APIs and third party SaaS sources
- Model data for analytics and ML features
- Orchestrate workflows with Airflow
- Own data pipelines on GCP
- Retire legacy warehouse and migrate to GCP
Perks/Benefits
- 401k match
- Annual leave
- Dependent care FSA
- Fully remote
- Healthcare FSA
- Home-office allowance
- Life and AD D Insurance
- Long-term disability
- Medical, dental, and vision
- Paid conferences
- Paid parental leave
- Short-term disability
- State-of-the-art equipment
- Training budget
Skills/Tech-stack
Airflow | Apache Beam | BigQuery | Bigtable | CDC | CI/CD | ClickHouse | Cloud Composer | Cloud Storage | DBT | Data Modeling | Data Quality | Dataflow | Dimensional Modeling | Docker | Feature Store | Flink | GCP | GitHub Actions | Infrastructure as Code | Kafka | Kubernetes | Pub/Sub | Python | REST APIs | SQL | Spark Structured Streaming | Structured Streaming | Vertex AI | “as-code”
Education
N/A
Roles
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