3 publicaciones de empleo destacadas de data analyst engineer en centro (área 1) cdmx (¡Están contratando!)

Senior Software Engineer, Privacy
Lyft —Ciudad de México, CDMX
- Inglés
- Investigación
- Java
Software Engineer, Privacy
Lyft —Ciudad de México, CDMX
- Inglés
- Investigación
- Java
Capital Markets Tech Lead
GFT Technologies SE —San Miguel Chapultepec I Sección, CDMX
- Azure
- Administración de personal
- Experiencia en ventas
- Seguro dental
- Seguro de vida

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Senior Software Engineer, Privacy

Lyft -
Ciudad de México, CDMX

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Información del empleo

Cualificaciones

Go
Ingeniería de software
Spark
Inglés
Investigación
Java
Bash
SQL
JavaScript
Redis
Capacitación
Ruby
Desarrollo de software
Seguridad
DynamoDB
PL/SQL
Python
Shell Scripting

Descripción completa del empleo

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

Lyft is a global company that connects people to transportation to change the way we live and get around our communities. Our drivers and passengers entrust Lyft with their personal information and travel details to get where they are going and expect us to keep that data safe. Lyft's Privacy team is composed of engineers and analysts dedicated to ensuring appropriate data protections are applied to our drivers' and passengers' data. Our goal is to make privacy the default setting for our internal engineers and our customers. We help design architectures, build a scalable data platform, and define policies to reduce the exposure of user data and ensure appropriate privacy and security protections are applied across the company.

We are looking for a highly motivated, collaborative, team-focused and technically strong Senior Software Engineer to join our Privacy team. As a member of this team, you will design and build systems that make privacy the default at Lyft. Every day, you'll partner with engineering, product, legal, and compliance stakeholders on high-impact projects — from building data redaction pipelines to enabling users to exercise their privacy rights to deploying data management systems across a diverse set of Lyft services. You'll bring strong engineering instincts, a passion for privacy, and the ability to lead large projects from idea to execution.

Responsibilities:

Design, build, and maintain systems that enhance privacy across the organization
Independently lead large projects from idea to execution
Advocate for user privacy throughout the organization, consulting engineering teams throughout the software development lifecycle and escalating potential privacy concerns
Write well-crafted, well-tested, readable, and maintainable code
Participate in code reviews to ensure code quality and distribute knowledge
Share knowledge by giving brown bags, tech talks, and championing appropriate tech and engineering best practices
Contribute to the development of controls and continuous testing, and design remediation and risk mitigation solutions
Partner closely with cross-functional stakeholders to enable privacy by design in our products, services, and business processes
Anticipate problems and proactively suggest architectural improvements to stay ahead

Experience:

5-7 years of experience in software engineering
Proficiency in at least one general-purpose programming language (e.g., Python, Java, Go)
Experience in operational and analytical data systems (e.g., DynamoDB, Aurora, Redis, Databricks, etc.)
Skills in scripting languages (Python, Ruby, Bash)
Proficient in at least one query language (SQL, Cypher, MQL, PL/SQL)
Experience developing distributed systems
Experience working with cross-functional stakeholders (Compliance, Legal, Product, Infrastructure)
Ability to learn and research new technologies rapidly, analyze systems for privacy impact, and build scalable solutions to tackle problems
Ability to write thorough, scalable, and clear design documentation
Ability to own and manage high priority projects and multiple tasks
Excellent written and verbal communication skills and a love for documentation and collaboration
Experience mentoring junior engineers through code reviews and project task breakdown, scoping, and sequencing
Experience using AI-assisted development tools responsibly (e.g. GitHub Copilot, Cursor, AI agents), or experience building privacy-aware AI/ML systems
Experience in working through ambiguity, developing deployable solutions to complex problems
Preferred qualifications
- 2-3 years of experience working with privacy/security services
- Experience working with ETL tools (Airflow, Spark, Jupyter Notebooks)
- Familiar with CCPA, GDPR and other privacy regulations
- Experience with automation and creating tools for a distributed systems

Please submit your resume in English.

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