Data Engineer (Middle) ID50589
AgileEngineSlovenia2 days ago
Full-timeRemote FriendlyInformation Technology
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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.
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.
Key Skills
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