Data Engineer

Influur; Ciudad de México; A distancia; MXN 200,000 - 400,000; Jornada completa

Descripción de la vacante

A dynamic marketing technology firm in Mexico City is seeking young talent to define the future of AI in influencer marketing. This role emphasizes strong programming skills, particularly in Python and SQL, and involves developing scalable data models and integration solutions. The company offers competitive equity and remote work opportunities, appealing to those eager to create impactful tech.

Servicios

Competitive equity

Opportunities for growth

Remote work

Formación

• Strong programming skills in Python and SQL.
• Experience with ETL and ELT pipelines, notably with tools like Airflow or Dagster.
• Proficiency in data modeling, dimensional modeling, and performance tuning.

Responsabilidades

• Develop and improve code from scratch.
• Design and operate data pipelines.
• Integrate third-party APIs while ensuring data governance.

Conocimientos

Python programming

SQL expertise

Data modeling

ETL/ELT pipelines

Batch and streaming systems

API integration

Docker

Descripción del empleo

Influur is redefining how advertising works, through creators, data, and AI. Our mission is to make influencer marketing as measurable, predictable, and scalable as paid ads, and we're building the tech that powers it. Backed by top-tier investors and trusted by global brands, we're scaling fast across music and culture.

What We’re Looking For

Young talent ready to go all in. We're offering significant equity to people who want to build something that matters. This isn't a job. It's an opportunity to define the future of AI in influencer marketing.

Your Skillset

• Strong programming with Python and SQL.
• Comfortable building from scratch and improving existing code.
• Expertise in data modeling and warehousing, including dimensional modeling and performance tuning.
• Experience designing and operating ETL and ELT pipelines with tools like Airflow or Dagster, plus dbt for transformations.
• Hands‑on with batch and streaming systems and with Lakehouse or warehouse tech on AWS or GCP.
• Proficiency integrating third‑party APIs and datasets, ensuring reliability, lineage, and governance.
• Familiarity with AI data needs: feature stores, embedding pipelines, vector databases, and feedback loops that close the gap between model and outcome.
• High standards for code quality, testing, observability, and CI.
• Comfortable with Docker and modern cloud infra.

You’re the Type Who

• Treats data as a product and ships improvements that users feel.
• Moves fast without breaking trust. You value contracts, schemas, and backward compatibility.
• Owns problems across the stack, from ingestion to modeling to serving.
• Communicates clearly with ML engineers, analysts, and business partners.
• Experiments, measures, and iterates. You set measurable SLAs and keep them green.
• Sees ambiguity as a chance to design the standard everyone else will follow.

What We Offer

• Competitive equity in a venture‑backed company.
• Opportunities to grow and develop.
• Remote work.