Descripción de la oferta
AgileEngine is an Inc. 5000 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: Flexible schedule with remote and office options. #J-18808-Ljbffr
