📋 Description

• Build data pipeline, ELT and infrastructure solutions to power internal data analytics/science and
• Create automated monitoring, auditing and alerting processes that ensure data quality and
• Work with business and application/solution teams to implement data strategies, build data flows
• Build next-generation analytics by delivering trusted data and metrics via AI/LLM tools (e.g.
• Seek ways to continually improve the operations, monitoring and performance of the data warehouse
• Influence and communicate with all levels of stakeholders including analysts, developers, business

🎯 Requirements

• Typically, 5+ years experience in a data engineering related role with a track record of building
• 3+ years designing and building data pipelines and models to ingest, transform and deliver large
• Experience with Snowflake, BigQuery, MySQL, Postgres, RDS, AWS, GCP
• Experience building data pipelines powering external, customer-facing analytics
• Knowledge of Kimball and Inmon data warehousing methodologies
• Experience with ETL tools (FiveTran, dbt, Python) and workflow engines (Airflow, Cloud Composer)

🎁 Benefits

• Medical, dental and vision plans
• Retirement plan with employer contribution
• Flexible Time Off
• Paid Parental Leave
• Monthly Remote Life and Merchant stipends