Senior Data Engineer

What you will do:

• Build, optimize, and maintain data pipelines that power our business
• Define and build out abstracted reusable data sets to be used for Business Intelligence, Marketing, and Data Science Research
• Design, build, and evangelize a federated data validation frameworks to be used to monitor potential data inconsistencies

The ideal candidate has:

• 4+ years of software/data engineering experience
• Expertise in SQL, job experience, and demonstrated strength with Python
• Expertise in building scalable data pipelines, query optimization, data modeling, and defining reusable datasets

Technologies we use:

• Postgres/SQL, Snowflake, Python, AWS, Terraform, Argo
• Airflow, Spark, DuckDB, Iceberg, Airbyte, DBT
• ElasticSearch, OpenTelemetry, Looker