About the Job

At Jetpacks!, we've got opportunities to offer you — for growth, for leadership, for big, world-changing impact and for, dare we say it, fun. We are a new startup committed to helping companies reach new heights together, by unleashing the Latin American power.

And that starts with you :)

Jetpacks! is looking for someone to join our LatAm team as Data Engineer. In this role, you'll be responsible for owning the architecture and execution of our core data platform, working closely with Analytics Engineering, BI, Finance, and Operations to turn fragmented, multi-source operational and financial data into standardized, trusted models that the business runs on.

This is a hands-on leadership role: you'll set how our data is modeled, ingested, and orchestrated, while also reviewing designs and code from other data engineers and raising the technical bar across the team.

Role Responsibilities

- Design and build standardized data models that normalize complex, source-specific data (MongoDB, Postgres, Firestore, and partner systems) into trusted schemas for pricing, finance, and operations.
- Own core BigQuery and Dataform pipelines, including schema design, incremental modeling patterns, testing, and documentation.
- Build and operate ingestion into the warehouse using Datastream, Cloud Functions, and custom connectors for systems without clean CDC paths.
- Set technical direction for orchestration (Composer/Airflow), including job design, dependency management, and cost/performance tradeoffs.
- Drive data integrity through anomaly detection, quality monitoring, and root-causing discrepancies before they erode trust in reporting.
- Build internal tools (Python, FastAPI/Flask, occasionally React) that automate operational workflows such as invoicing, ops data feeds, and reporting utilities.
- Apply AI and LLM-based tooling pragmatically to automate repetitive internal workflows and accelerate data engineering work,



without introducing fragile or unmaintainable systems.
- Partner with Analytics Engineering and BI to ensure core data models serve reporting and forecasting without duplicative downstream logic.
- Review designs and code from other data engineers, and raise the technical bar without adding unnecessary process.
- Make build-vs-buy and architecture decisions with profitability, maintainability, and team adoption in mind.

How will you be supported?

You'll be onboarded to the tech team organization. You will be part of a team and will communicate with them via Slack and Google Meet. Periodic 1-on-1 meetings will be held to ensure you are successful and are having a productive and enjoyable experience.

Role Requirements

We want all new hires to succeed in their roles at Jetpacks!. That's why we've outlined the job requirements below. To be considered for this role, it's important that you meet all Minimum Qualifications. If you do not meet all of the Preferred Qualifications, we still encourage you to apply.

- 8+ years of data engineering experience, including 2-3+ years operating at a staff/principal level of scope (org-wide architecture decisions, not just pipeline delivery).
- Deep hands-on expertise in BigQuery or an equivalent cloud data warehouse, and SQL-based transformation tooling such as Dataform or dbt.
- Strong Python skills for pipeline and tooling work, with experience building and maintaining production services (FastAPI, Flask, or equivalent).
- Demonstrated experience designing standardized or normalized data models from heterogeneous, complex source systems.




- Practical experience with workflow orchestration (Airflow, Composer, or equivalent) at production scale.
- Track record of making data trustworthy, including testing, monitoring, anomaly detection, and incident response for data issues.
- Strong analytical and communication skills, with the ability to explain technical tradeoffs to non-technical stakeholders in Finance and Operations.
- Bachelor's degree in Computer Science, Engineering, a related field, or equivalent experience.
- Advanced English level.

Preferred Qualifications

- Experience in last mile delivery, parcel logistics, transportation management, or another operationally intensive business where data quality directly affects P&L.;
- Experience with the GCP ecosystem, including Cloud Functions, Datastream, and Firestore.
- Familiarity with BI tooling such as Looker, and with BI migration or governance efforts.
- Hands-on experience with LLM-based tooling (e.g. Claude, GPT) for code generation, data pipeline automation, or internal agent/workflow tooling.
- Experience in a high growth technology company.

About Jetpacks!

Jetpacks! is a digital accelerator. We help companies reach new heights, together, by committing to working alongside them, unlocking the power of LatAm.

We strive at creating connections between people, data and technology to realize connected outcomes across the full lifecycle of the product and platform ecosystems.

We're makers, builders and creators by nature, and we come to work every day to build experiences for some of the world's most influential companies. We help businesses accelerate their digital roadmap, rapidly innovate, modernize their systems, enable their teams and optimize for continued growth.

We welcome our team members to show up as their authentic selves every day. Because this is so important to us, Jetpacks! is proud to be an equal opportunity employer.

📌 Senior Data Engineer (Provincia de Buenos Aires)
🏢 Jetpacks!
📍 Provincia de Buenos Aires