Staff Data Engineer

Lob is a company focused on transforming the way businesses use direct mail through technology. They are seeking an experienced Staff Data Engineer to lead the design and buildout of a unified event tracking platform that will enhance both customer-facing analytics and internal operational tracking. The role involves collaboration with various teams, mentoring engineers, and ensuring the health and maintainability of the data ecosystem.

Responsibilities:

• Collaborate with colleagues in the Data, Product, and Engineering teams to unify Lob’s foundational data ecosystem and enable the buildout of internal and external data products
• Create modular, reusable frameworks to enable other engineering teams to publish events to the unified platform
• Implement thorough monitoring and alerting to ensure the health of the data platform
• Apply software development best practices to ensure maintainability of the platform
• Partner with the Engineering Manager to set the Data team’s roadmap & define team processes
• Coach and mentor mid-level engineers on the Data team regarding technical best practices and problem-solving
• Create and maintain documentation for data products and systems
• Advise stakeholders on the constraints and assumptions of the data processed through the unified data platform
• Deprecate outdated legacy systems without negatively impacting core functionality for end users
• Monitor Cloud and SaaS spend for unusual spikes and seek out opportunities to save costs
• Participate in the team on-call rotation (approximately 1 in 4 weeks). Triage and resolve alerts as needed
• Coordinate with other Staff+ engineers on the broader the tech team to align decision making and execute strategic initiatives

Requirements:

• Bachelor's or Master's degree in a quantitative field, or equivalent work experience
• At least 8 years of combined experience in Data, ML, and/or Software Engineering
• Expertise in Cloud Data Warehousing
• Expertise in streaming data processing systems
• Expertise in modern software development fundamentals including APIs, version control, containerization, and CICD
• Expertise in a variety of database types, including transactional databases and document/vector databases
• Excellent verbal, written, and visual communication skills
• Excellent organizational and project management skills
• Ability to be decisive & adaptable in the face of ambiguity
• Proficient with project management tools
• 10 or more years of combined experience in Data, ML, and/or Software Engineering
• Snowflake
• Redshift
• Kafka
• Apache Flink
• PostgreSQL
• Elasticsearch
• dbt (data build tool)
• Apache Airflow
• Prefect
• Change Data Capture (CDC) patterns and methods
• AI-assisted coding tools like ClaudeCode or Cursor
• Jira