Data Engineer - Mid-Level
El Segundo, California, United States
USD 130K-160K Mid-level Full Time
Tasks
- Apply layered data architecture patterns for reusable data assets
- Automate build/test/deploy workflows
- Build CI/CD pipelines
- Build and maintain ELT pipelines
- Create clean data products
- Design data storage standards and partitioning strategies
- Design feature pipelines for AI ML workflows
- Ensure compliance and auditability in regulated environments
- Establish data quality frameworks
- Implement data lineage tracking
- Implement governed knowledge layer for semantic alignment
- Implement source control and peer review workflows
- Ingest data from enterprise systems
- Provide pipeline observability and SLA monitoring
- Set up proactive alerting and production logging
- Support enterprise data platform evaluations
- Translate requirements into data solutions
- Use AI assisted development tooling
Perks/Benefits
- 401k matching
- Dental insurance
- Health insurance
- Lunch and snacks provided
- Maternity & paternity leave
- Stock options or long term incentives
- Unlimited PTO
- Vision insurance
Skills/Tech-stack
Airflow | Automated Deployment | Automated testing | CI/CD | Control workflows | DBT | Data Governance | Data Ingestion | Data Lineage | Data Modeling | Data Observability | Data Pipelines | Data Quality | Data Storage | Data Warehousing | Databricks | Dimensional Modeling | DynamoDB | ELT | ETL | Feature Engineering | Feature Stores | Git | Infrastructure as Code | Lakehouse | MongoDB | MySQL | NoSQL | Normalization | PostgreSQL | Proactive alerting | Production logging | Python | Relational databases | SLA monitoring | SQL | Snowflake | Source Control | Source control workflows | Star Schema | Terraform | Workflow Orchestration | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Regions
Countries
States
Cities
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