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Data Engineer; Middle

Job in Netherlands, Pemiscot County, Missouri, USA
Listing for: AgileEngine, LLC.
Full Time position
Listed on 2026-03-01
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst, Cloud Computing, Data Science Manager
Job Description & How to Apply Below
Position: Data Engineer (Middle) ID50589
Location: Netherlands

Agile Engine 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;
NICE TO HAVES
  • Experience with AWS data stack components;
  • Exposure to Databricks, Click House, or Vertica;
  • Background working on short-term or project-based data initiatives.
PERKS AND BENEFITS
  • Professional growth: Mentorship, Tech Talks, 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.
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