Senior Data Engineer
Tasks
- Enforce data quality standards
- Maintain runbooks and architecture documentation
- Operate production databases and data serving APIs
- Orchestrate and automate data workflows
- Own AWS cloud cost optimization
- Own big data pipelines end to end
- Partner with data science on feature pipelines and serving paths
- Run lakehouse on S3
- Ship infrastructure as code
Perks/Benefits
- Flex PTO
- Full-time remote work
- Growth opportunities
- HMO bonus
- Home office upgrade bonus
- Ongoing development budget
- Profit share bonus
- Team building potential
Skills/Tech-stack
API Gateway | AWS CloudFormation | AWS Glue | AWS Glue Data Catalog | AWS IAM | AWS Lambda | AWS Step Functions | Amazon Athena | Amazon Aurora | Amazon Aurora PostgreSQL | Amazon DynamoDB | Amazon EMR | Amazon EventBridge | Amazon S3 | Amazon SQS | Apache Airflow | Apache Hudi | Apache Iceberg | Aurora PostgreSQL | CI/CD | CloudWatch | Data Catalog | Data Modeling | Data QA | Data Quality | Data quality monitoring | Delta Lake | ELT | ETL | FIPS | GitHub Actions | Glue Data Catalog | Grafana | IAM | Infrastructure as Code | Partitioning | PostgreSQL | PySpark | Python | Quality monitoring | Query Optimization | SQL | Schema Contracts | Scikit-learn | Step Functions | Structured Logging | Terraform | VPC | XGBoost | “as-code”
Education
Roles
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