Hover or tap a row for full statistics (EUR / month on this chart).
Salary analysis
Compared with the selected benchmark ("All roles in Remote - Argentina"), this listing's salary midpoint is about 4% lower. The offer still falls within the benchmark range (€6,945–€7,523). The listed pay band (€6,250–€7,666) is wider than the benchmark, which suggests greater salary variability. This benchmark is based on 1 comparable listings.
| Market | Lower bound (25th percentile) | Median | Upper bound (75th percentile) |
|---|---|---|---|
| Market Average: Data Engineer | €3,000/per month | €5,375/per month | €7,560/per month |
| All roles in Remote - Argentina | €6,945/per month | €7,234/per month | €7,523/per month |
What you will do We are looking for a Senior Data Engineer who thrives on building commercial products and plays a key role in delivering reliable, scalable, and maintainable applications. You will own projects end-to-end, collaborating with Product Managers to define requirements, implement solutions, and ensure ongoing success post-deployment. You'll focus on simplicity while contributing technical insights to enhance the system's performance, stability, and user experience. Participate in all stages of the software development life cycle, from design and development to deployment and maintenance. Contribute to the product and technical roadmap by providing data-driven insights and articulating trade-offs between technical options and business goals. Support and mentor junior engineers on the team through code reviews, pairing, and technical guidance. Follow clean code principles, using best practices to write secure, testable, and well-documented software. Work closely with a global team, including engineers and product managers, to build a stable, high-performance platform. Implement comprehensive testing and performance tuning to ensure system stability and uptime.
Job Details
Responsibilities
- Translate requirements, estimate effort, and address blockers
- Write clean, maintainable code with readability and testing in mind
- Own end-to-end projects including infrastructure, app layers and data layers
- Monitor performance metrics and suggest improvements
- Mentor junior engineers
- Follow clean code principles and best practices
- Collaborate with global team to build a high-performance platform
- Implement testing and performance tuning
Requirements
- 5+ years of experience in the Data Engineering space
- 3+ years in agile environments (Scrum)
- Proficient in Spark
- Java/Scala experience
- Experience designing RESTful APIs
- Code reviews for best practices
- Unit/integration tests
- Git proficiency
Skills & Technologies
Education Level
No degree requiredBenefits & Perks
Benefits
| Location | Active listings |
|---|---|
| Remote - Global | 1 |
| Role type | Active listings |
|---|---|
| UX Architect | 1 |
| Role level | Active listings |
|---|---|
| Senior | 1 |
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