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

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
14d
Senior Mobile Security Engineer
PayJoy —Ciudad de México, CDMX
- Tiempo completo
- Informática
- Licenciatura
- Sin título de educación superior
- Seguro dental
- Seguro de la vista

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Capital Markets Tech Lead
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8+ years of work experience in channel partnerships, business development, strategic sales, or a similar role, with at least 3 years in a leadership capacity,…

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Software Engineer, Privacy

Lyft -
Ciudad de México, CDMX

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Información del empleo

Cualificaciones

Go
Spark
Inglés
Investigación
Java
SQL
JavaScript
Redis
Seguridad
DynamoDB
PL/SQL
Habilidades de comunicación
Python

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 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:

Write well-crafted, well-tested, readable, and maintainable code
Promote appropriate tech and engineering best practices
Partner with teams across Lyft on organizational privacy initiatives
Partner with senior engineers to design, build, and maintain systems that enhance privacy across the organization
Independently lead tasks from idea to execution
Participate in code reviews to ensure code quality and distribute knowledge
Participate in knowledge sharing by supporting 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 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:

Proficiency in at least one general-purpose programming language (e.g., Python, Java, Go)
Exposure to at least one operational or analytical data system (e.g., DynamoDB, Aurora, Redis, Databricks, etc.)
Proficient in at least one query language (SQL, Cypher, MQL, PL/SQL)
Familiarity with distributed systems
Ability to learn and research new technologies rapidly and build scalable solutions to tackle problems
Ability to write thorough, scalable, and clear design documentation
Ability to manage your own workload with guidance from senior engineers
Good written and verbal communication skills
Experience using AI-assisted development tools responsibly (e.g. GitHub Copilot, Cursor, AI agents)
Willingness to work through ambiguity, developing deployable solutions to complex problems
Preferred qualifications
- Knowledge of privacy or security engineering
- Experience working with ETL tools (Airflow, Spark, Jupyter Notebooks)
- Familiarity 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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