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.