Remote Senior Data Engineer Job in San Francisco, CA StyleSeat

Who you are

• Expert SQL skills.
• 4+ years experience with:
• Scaling and optimizing schemas.
• Performance tuning ETL pipelines.
• Building pipelines for processing large amounts of data.
• Proficiency with Python, Scala and other scripting languages.
• Experience with:
• MySQL and Redshift.
• NoSQL data stores, methods and approaches.
• Kinesis or other data streaming services.
• Airflow or other pipeline workflow management tools.
• EMR, Spark and ElasticSearch.
• Docker or other container management tools.
• Developing infrastructure as code (IAC).
• Ability to effectively work and communicate with cross-departmental partners and non-technical teams.

Desirables

• Experience with Segment customer data platform with integration to Braze.
• Terraform.
• Tableau.
• Django.
• Flask.

What the job involves

• Handle data engineering tasks in a team focused on improving search functionality and customer search experience.
• Design, develop, and own ETL pipelines that deliver data with measurable quality.
• Scope, architect, build, release, and maintain data oriented projects, considering performance, stability, and an error-free operation.
• Identify and resolve pipeline issues while discovering opportunities for improvement.
• Architect scalable and reliable solutions to move data across systems from multiple products in nearly real-time.
• Continuously improve our data platform and keep the technology stack current.
• Solve critical issues in complex designs or coding schemes.
• Monitor metrics, analyze data, and partner with other internal teams to solve difficult problems creating a better customer experience.