SENIOR DATA ENGINEER

Pave Agency - San Francisco, CA

Full-time - Mid Level

San Francisco, CA

101-250 employees

Food Services and Drinking Places

About the position

The Data Engineer position at Pave focuses on leveraging data to provide valuable insights and optimize business operations. The role involves building and maintaining data infrastructure, ensuring data quality, and collaborating with various teams to support analytics and product features. The ideal candidate will have a strong background in data engineering and a passion for driving data-driven decision-making within the organization.

Responsibilities

• Creating and maintaining data pipelines to support analytics, metrics reporting, machine learning, and product features.
• Collecting and synthesizing business requirements to align infrastructure with data and business strategy.
• Designing and maintaining the data warehouse, documenting architectural decisions for collaboration and scalability.
• Maintaining and developing tooling to support the Data team.
• Ensuring reliable access to quality data to power the product roadmap.
• Collaborating with the integrations team to unify data from multiple sources.
• Driving technical excellence across the entire Data team.

Requirements

• 4-6+ years of experience in a data engineering or similar functional role.
• Bachelor's degree or advanced degree in a quantitative discipline: Computer Science, Math, Statistics, Engineering, or a related field.
• Expert knowledge of Python and SQL.
• Expert knowledge of development best practices including query optimization, version control, and documentation.
• Experience maintaining and proactively optimizing data pipelines and ETL processes.
• Experience developing robust data models.
• Experience implementing monitoring and data quality assurance frameworks.
• Exceptional knowledge of data warehouse design and management.
• Experience with modern data storage and processing techniques (e.g., Airflow, BigQuery, DBT, or similar).
• Strong communication skills.
• Comfortable working in fast-paced environments.
• Ability to lead strategically across data and software engineering teams.

Benefits

• Choice of medical, dental, and vision insurance.
• Access to mental health services.
• Monthly learning and development stipend.
• Catered lunch, dinner, and snacks throughout the day.