Data Engineer

Influur Corp; A distancia; MXN 455,000 - 729,000; Jornada completa

Descripción de la vacante

A venture-backed company in Xico, Mexico, is seeking young talent in AI influencer marketing to redefine advertising. Candidates should possess strong skills in Python and SQL, along with expertise in data modeling and cloud technology. The role emphasizes treating data as a product and includes competitive equity and growth opportunities. The company also supports remote work, appealing to those who want to contribute significantly to technological advancements in the field.

Servicios

Competitive equity

Opportunities to grow and develop

Remote work

Formación

• Experience with Airflow or Dagster for ETL/ELT workflows.
• Hands-on experience with Lakehouse or warehouse tech on AWS or GCP.

Responsabilidades

• Treats data as a product and drives user-feeling improvements.
• Owns problems end-to-end from ingestion to serving.
• Communicates effectively with ML engineers and business partners.

Conocimientos

Strong programming with Python

SQL expertise

Data modeling and warehousing

ETL and ELT pipeline design

Batch and streaming systems

Integration of third-party APIs

Familiarity with AI data needs

High standards for code quality

Comfortable with 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.
• omfortable 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.