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SeniorFull-timePythonRustAWSKubernetesDockerTerraformMachine LearningData ScienceCI/CDGo
Salary Range
$63,648 - $86,112 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
The Data Engineering team at Veriff builds and operates the analytical data platform that powers machine learning, data science, analytics, and reporting. This role involves owning and evolving data lake and data warehouse infrastructure to ensure accurate and timely data access for the organization.
Key Responsibilities
- →Own and evolve data lake and data warehouse infrastructure using technologies like Spark, Apache Iceberg, S3, Trino/Athena, and Redshift
- →Design and maintain platform-level data transformation pipelines in Python and SQL
- →Implement optimized storage formats and partitioning strategies to improve query performance
- →Drive data governance initiatives including PII detection, access control, and data quality frameworks
- →Ensure platform availability, reliability, and cost efficiency
- →Collaborate with ML, analytics, product, and engineering teams on data contracts and schema consistency
- →Contribute to disaster recovery strategy and multi-region reliability
Requirements
- ✓Strong experience with Python, SQL, and Apache Spark/PySpark for large-scale data processing
- ✓Deep knowledge of modern analytics platform architecture
- ✓Experience with data governance and management at scale
- ✓Experience designing and operating data lake and warehouse infrastructure
- ✓Solid understanding of storage optimization techniques
- ✓Experience building observability, monitoring, and alerting for data platforms
- ✓Strong problem-solving skills and collaborative mindset
Benefits
- ★Flexibility to work from home
- ★Stock options
- ★Extra recharge days
- ★Comprehensive relocation support
- ★Medical, dental, and vision insurance
- ★Learning and development budget
- ★Paid sabbatical leave after 5 years
- ★Four weeks of fully paid sabbatical leave after reaching your 5th work anniversary
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