Data Engineer, Engineering & Operations
New York, NEW YORK, United States
R
USD 115K-145K Mid-level Full Time
Tasks
- Build and operate privacy safe data integrations
- Build automated data quality checks
- Configure clean room environments
- Configure least privilege service accounts and grants
- Define and monitor data quality standards
- Deploy and manage Python libraries templates and reusable components
- Design scalable data pipelines
- Develop ELT pipelines and production data products
- Implement identity resolution logic
- Implement role based access control policies
- Optimize query performance and platform costs
- Provision curated Gold datasets
- Set up monitoring alerting runbooks and SOPs
- Support incident response and root cause analysis
- Validate identity mappings and match rates
Perks/Benefits
- 401k
- Dental insurance
- Discounts
- Fully remote
- Medical insurance
- Paid leave
- Tuition reimbursement
- Vision insurance
Skills/Tech-stack
Access Control | Aggregation Thresholds | Airflow | Alerting | Anonymization | Caching | Clustering | DBT | Data Quality | Data Quality Testing | Databricks | ELT | Great Expectations | Identity resolution | Incremental processing | Monitoring | Partitioning | Privacy-Preserving Techniques | Privacy-preserving | PySpark | Python | Quality testing | Query Tuning | RBAC | Release Management | Role-Based Access | Role-Based Access Control | Runbooks | SQL | Service accounts | Snowflake | Snowpark | Version control
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Science in Computer Science | Bachelor of Science in Data Engineering | Bachelor of Science in Electrical Engineering | Bachelor of Science in Electronics Engineering | Bachelor of Science in Information Systems | Bachelor of Science in Software Engineering
Roles
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