Data Engineer

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.