Data Engineer
Tasks
- Build and maintain scalable data pipelines batch and streaming
- Create and manage curated datasets for analytics and reporting
- Define data contracts and ensure data consistency across systems
- Design develop and optimize ETL and ELT workflows
- Develop dashboards and reporting layers for marketing and business performance
- Implement data quality checks validations and alerting
- Implement reverse ETL pipelines to sync data to business tools
- Monitor pipeline performance and troubleshoot data issues
- Prepare and serve high quality datasets for RAG pipelines and AI agent systems
Perks/Benefits
- 401k match
- Flexible PTO
- Health and wellness allowance
- Health insurance
- Paid parental leave
- Technology stipend
- Work from home stipend
Skills/Tech-stack
AWS EMR | AWS Glue | AWS S3 | Airflow | Amazon Athena | Amazon Web Services | Apache Spark | Braze | DBT | Data Contracts | Data Modeling | Data Quality | Data Validation | Databricks | ELT | ETL | Embeddings | Fivetran | HubSpot | Kafka | Language Models | Large Language Models | MCP | PySpark | Python | RAG | Reverse ETL | SQL | Salesforce | Vector Databases | Web Services
Education
N/A
Roles
Regions
Countries
States
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