Hover or tap a row for full statistics (EUR / month on this chart).
Salary analysis
Compared with the selected benchmark ("All roles in Remote - LATAM"), this listing's salary midpoint is about 48% lower. The offer sits below the benchmark range (€10,691–€15,901). The listed pay band (€6,250–€7,667) is tighter than the benchmark, which suggests lower salary variability. This benchmark is based on 2 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 - LATAM | €10,691/per month | €13,528/per month | €15,901/per month |
What you will do: Build scalable data pipelines and data products for our customers, owning end-to-end data solutions in collaboration with Product Managers. Mentor junior engineers, perform code reviews, and contribute to architecture decisions. Ensure code quality through tests and documentation. Work with a global team to deliver a high-performance data platform. Maintain system stability with performance tuning and comprehensive testing. Responsibilities: Translate requirements, estimate effort, and address blockers; write clean, maintainable code; own projects across infrastructure, app tiers, and data tiers; monitor performance and propose improvements. Tech stack: Scala, Spark, Python; Airflow; ScyllaDB, PostgreSQL, ClickHouse, Hive, Redis, Kafka, Kafka Connect; Docker, Jenkins, Terraform, AWS. Required: 5+ years in Data Engineering, 3+ years in agile environments, Spark proficiency, Java/Scala, RESTful APIs, code reviews, testing, Git proficiency. Preferred: Backend scalability, low-latency designs, data formats, FP in Scala, cybersecurity, strong docs and collaboration. Benefits: Country-specific; competitive salary, stock options, health benefits, unlimited PTO, parental leave, tuition reimbursements; total compensation $75k–$92k/year; performance-based incentives and equity. Apply: Use the official application process on the page.
Job Details
Responsibilities
- Translate requirements, estimate effort, and address blockers as needed
- Write clean, maintainable code that adheres to best practices
- Own end-to-end projects across infrastructure, application tiers, and data tiers
- Monitor performance metrics and propose improvements
- Implement testing and performance tuning
- Collaborate with global team to build high-performance platform
Requirements
- 5+ years of experience in Data Engineering with large-scale pipelines
- 3+ years in agile environments (ideally Scrum)
- Proficient in Spark
- Experience with Java/Scala
- Experience designing, building, and maintaining RESTful APIs and integrating with external services
- Participate in code reviews to ensure best practices
- Ability to write and maintain unit and integration tests
- Proficiency with Git
Skills & Technologies
Education Level
No degree requiredBenefits & Perks
| Location | Active listings |
|---|---|
| Remote - Global | 1 |
| Role type | Active listings |
|---|---|
| UX Architect | 1 |
| Role level | Active listings |
|---|---|
| Senior | 1 |
Related Opportunities
Discover more opportunities that match your interests and skills