Mid Data Engineer

About Klar

We're turning one of the world's largest underbanked markets into something fairer, simpler, and more transparent. 7 million users served since 2019. Uber's first global credit card, built right here in Mexico. Klar Empresarial, a brand-new B2B solution — Klar Empresarial — bringing agile credit and smart accounts to SMEs who've been ignored by traditional banks for too long.

And a full banking license on the horizon, because our customers asked for it and we listened.

We move fast, we think big, and we go all in, because as our CEO puts it: \"Growing doesn't always mean going further. Sometimes it means going deeper.\"

Behind all of it is a team of 30+ nationalities, working across Mexico City, Berlin, and Argentina, obsessed with building financial products that are simpler, faster, and fairer than anything that came before.

This is Klar, and we're seeking the people who'll write the next chapter.

Our people

If you join us at Klar, you'll be welcomed to a team that is rich in many talents and we are very proud With our head office in Mexico City, and remote tech hubs in Berlin and Argentina, we are always learning something new about another culture or language. With so many people from different backgrounds and walks of life (young professionals, parents, LGBTQ+, neurodivergence), you'll definitely find your people here

Our values

Ownership - We own our successes & our failures as a team.

Excellence - We do everything to the best of our ability & always seek to achieve a new level of excellence in our work.

Inclusion - We believe we are stronger together and actively work to promote a safe, diverse, inclusive, and respectful culture.

Customer Obsession - We understand the value Klar can bring to its customers & it's always at the forefront of our decisions.

Klarity - We communicate clearly & with authenticity. It's in our name & it's what we do.

The position and your daily adventures

We're currently looking for a Data Engineer to join our Revenue Ops team. As a Data Engineer your main responsibilities will be to build and maintain web scraping, extract data, create data pipelines and infrastructure. You will be in charge of creating real-time processes and alerts, improving data reliability and quality, and automating Revenue Ops workflows.

What you can expect:

Work remotely as part of the Revenue Ops team, collaborating asynchronously with product, operations, and engineering stakeholders.

Develop and maintain scraping services end to end, from credential handling and extraction flows to parser reliability and operational tooling.

Build and maintain production Python services across APIs, event-driven worker processes, relational persistence, and cloud-backed artifacts.

Design streaming and batch data flows that make business data reliable, timely, observable, and usable for Revenue Ops workflows.

Debug real-world scraping and data-processing failures involving external systems, browser automation, retries, providers, and artifact-based diagnostics.

Improve engineering quality through tests, clear documentation, structured logging, metrics, traces, and strategic use of modern AI-powered tools.

What we are looking for:

Mandatory

2+ years of professional software engineering or data engineering experience building production Python services, with ownership of design, implementation, testing, and operations.

Strong Python backend experience with FastAPI or similar web frameworks, Pydantic-style validation, async workflows, and typed service boundaries.

Required knowledge of streaming data systems and event-driven processing, especially Kafka consumers/producers, partitioning, ordering, delivery semantics, retry/idempotency, backoff, and operational failure handling.

Solid database experience with PostgreSQL and SQLAlchemy/Alembic, including schema design, migrations, transactional boundaries, and performance-aware queries.

Practical experience building or maintaining web scraping/browser automation systems with Scrapy, Playwright, HTTP sessions, anti-bot constraints, and deterministic parser tests.

Experience handling sensitive credentials or confidential business data, including encryption, secret versioning, redaction, auditability, and least-privilege access patterns.

Comfort owning cloud-native services on AWS, including S3, KMS, containerized deployments, metrics, traces, and production incident debugging.

Advanced English and clear technical communication; able to read existing architecture, reason from tests and logs, document tradeoffs, and collaborate with product/ops stakeholders.

Comfort using modern AI-powered tools strategically to accelerate development, debugging, documentation, and analysis while applying sound engineering judgment.

Desirable

Experience with SAT, tax,