Data Engineer
El Segundo, California, United States
USD 120K-153K Mid-level Full Time
Tasks
- Add pipeline observability
- Apply layered data architecture patterns
- Automate build/test/deploy workflows
- Build CI/CD pipelines
- Build ELT pipelines
- Create governed knowledge layer
- Create lineage tracking
- Design data storage standards
- Design feature pipelines for AI ML
- Ensure compliance and auditability
- Implement data quality frameworks
- Implement production logging
- Implement source control and peer review
- Ingest data from enterprise systems
- Monitor SLAs and alerting
- Support data platform evaluations
- Translate requirements into technical specifications
- Use AI assisted development tooling
Perks/Benefits
- 401k match
- Cell phone reimbursement
- Dinner provided weekly
- EV charging
- Flexible PTO
- HSA match
- Lunch provided
- Medical/Dental/Vision insurance
- One Medical membership
- Paid Holidays
- Parental leave
- Relocation support
- Stock options or equity incentives
- Team bonding events
- Wellness reimbursement
Skills/Tech-stack
Airflow | CI/CD | CRM | Cloud Data | Cloud Data Warehouse | DBT | Data Lineage | Data Modeling | Data Observability | Data Pipelines | Data Quality | Data Warehouse | Database performance | Database performance tuning | Databricks | Dimensional Modeling | DynamoDB | ELT | ERP | Feature Engineering | Feature Stores | Git | GitHub Actions | Infrastructure as Code | Lakehouse | MRP | Machine Learning | Model Monitoring | MongoDB | MySQL | NoSQL | Normalization | PLM | Performance Tuning | PostgreSQL | Production logging | Python | Qms | Query Optimization | SLA monitoring | SQL | Snowflake | Star Schema | Terraform | Training Data Pipelines | Training data | Workflow Orchestration | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Science in Computer Science | Master of Science
Roles
Regions
Countries
States
Cities
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