Data Engineer (Middle) Id50589 (Quilmes)

Data Engineer (Middle) Id50589 (Quilmes)

22 abr
|
AgileEngine
|
Quilmes

22 abr

AgileEngine

Quilmes

AgileEngine is an Inc. **** company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries.
We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
WHY JOIN US
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!
ABOUT THE ROLE
We are looking for a Mid-Level Data Engineer for a focused 2–3 month engagement to deliver high-impact, short-term data solutions through reliable, well-documented pipelines.
This role centers on building clean Python and SQL workflows with Airflow, supporting fast-moving projects that require autonomy, precision, and strong ownership.
It stands out for its delivery-driven culture, independent working model, and the opportunity to make immediate, measurable impact in a project-based data environment.
WHAT YOU WILL DO
Design, implement, and maintain data pipelines using Python and SQL;
Work with Airflow to orchestrate and monitor data workflows;
Write clean, readable, and well-documented code (Python and SQL);
Collaborate with stakeholders to understand data requirements and translate them into robust implementations;




Ensure data reliability, performance, and clarity across pipelines and transformations;
Contribute to short-term deliverables with a strong sense of ownership and urgency.
MUST HAVES
3+ years of experience as a Data Engineer or similar role;
Strong Python and SQL skills, with a clear focus on code readability and documentation;
Hands-on experience with Airflow;
Solid understanding of columnar databases and analytical data models;
High productivity without reliance on AI-assisted coding tools;
Ability to work independently and deliver results in short-term engagements;
Upper-intermediate English level.
NICE TO HAVES
Experience with AWS data stack components;
Exposure to Databricks, ClickHouse, or Vertica;
Background working on short-term or project-based data initiatives.
PERKS AND BENEFITS
Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
Exciting projects: Modern solutions with Fortune 500 and top product companies.
Flextime: Versátil schedule with remote and office options.
#J-*****-Ljbffr

📌 Data Engineer (Middle) Id50589 (Quilmes)
🏢 AgileEngine
📍 Quilmes

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