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Mid LevelFull-timePythonRustAWSAI
Salary Range
$48,960 - $66,240 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Data Engineer to join our Data Platform team at Deel. This role focuses on building secure, high-performance data infrastructure that empowers our global team of data professionals. You'll be responsible for architecting and implementing a robust, unified permission system across our modern data stack.
Key Responsibilities
- →Design, build, and maintain efficient data pipelines (ETL processes) to integrate data from various source systems into the data warehouse.
- →Architect Permissions-as-Code: Design and implement scalable Role-Based Access Control (RBAC) and Attribute-Based Access Control (ABAC) models within Snowflake and Looker.
- →Unify the Stack: Create a seamless bridge between data warehouse roles and BI tool permissions.
- →Audit & Comply: Support internal and external audits by building automated reporting on data access, usage, and compliance status.
- →Develop and optimize data warehouse schemas and tables to support analytics and reporting needs.
- →Write and refine complex SQL queries and use scripting (e.g., Python) to transform and aggregate large datasets.
- →Implement data quality measures to ensure data integrity and reliability.
- →Collaborate with data analysts, data scientists, and other engineers to understand data requirements.
- →Document pipeline designs, data flows, and data definitions.
Requirements
- ✓Bachelor’s or Master’s degree in Computer Science, Mathematics, or Physics.
- ✓At least 3 years of experience in data engineering or similar backend data development role.
- ✓Strong SQL skills and experience with data modeling and building data warehouse solutions.
- ✓Proficiency in at least one programming language (e.g., Python) for data processing and pipeline automation.
- ✓Familiarity with ETL tools and workflow orchestration frameworks (e.g., Apache Airflow).
- ✓Experience implementing data quality checks and working with large-scale datasets.
- ✓Good problem-solving abilities, plus strong communication and teamwork skills.
Benefits
- ★Stock grant opportunities dependent on your role, employment status and location
- ★Additional perks and benefits based on your employment status and country
- ★The flexibility of remote work, including optional WeWork access
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