2 months ago
Mexico City, MexicoMid Level
Responsibilities
- Write well-crafted, well-tested, readable, and maintainable code.
- Promote appropriate technology and engineering best practices.
- Partner with teams across Lyft on organizational privacy initiatives.
- Design, build, and maintain systems that enhance privacy across the organization.
- Lead tasks independently from idea to execution.
- Participate in code reviews and knowledge-sharing activities such as brown bags and tech talks.
- Develop controls and continuous testing, and design remediation and risk-mitigation solutions.
- Partner with cross-functional stakeholders to enable privacy by design in products, services, and business processes.
- Anticipate problems and suggest architectural improvements.
Requirements
- Proficiency in at least one general-purpose programming language such as Python, Java, or Go.
- Exposure to at least one operational or analytical data system such as DynamoDB, Aurora, Redis, or Databricks.
- Proficiency in at least one query language, including SQL, Cypher, MQL, or PL/SQL.
- Familiarity with distributed systems and the ability to build scalable solutions while learning new technologies rapidly.
- Ability to write thorough, scalable, and clear design documentation.
- Ability to manage an independent workload with guidance from senior engineers.
- Good written and verbal communication skills.
- Experience using AI-assisted development tools responsibly, such as GitHub Copilot, Cursor, or AI agents.
- Willingness to work through ambiguity and develop deployable solutions to complex problems.
- Knowledge of privacy or security engineering is preferred.
- Experience with ETL tools such as Airflow, Spark, or Jupyter Notebooks is preferred.
- Familiarity with CCPA, GDPR, and other privacy regulations is preferred.
- Experience with automation and creating tools for distributed systems is preferred.
Tech Stack
Categories
Data EngineeringSecurity
About Lyft
Lyft is a NASDAQ-listed transportation marketplace that connects riders with drivers and offers bike and scooter rentals in one app. Founded in 2012 and headquartered in San Francisco, it operates across the U.S. and parts of Canada. Its revenue comes from service fees on rides and rentals, enterprise programs, and consumer subscriptions such as Lyft Pink.