Data Engineer
Tasks
- Assess connector requests and provide effort estimates
- Build and maintain ETL jobs
- Build and test MCP endpoint integrations
- Build and validate connector integrations
- Construct and operate data pipelines
- Document field mappings and normalization rules
- Implement MCP server configurations
- Maintain data flow planograms
- Onboard and train data engineers and BI developers
- Operate production data pipelines and perform data quality monitoring
Perks/Benefits
- 401k
- Commuter benefits
- Continuing education
- Corporate wellness program
- Dental insurance
- Disability insurance
- Employee assistance program
- Flexible spending account
- Life insurance
- Medical insurance
- Paid Holidays
- Paid time off
- Tuition reimbursement
- Vision insurance
- Wellness days
Skills/Tech-stack
API 2.0 | API Integration | AS2 | AWS | Bulk API | Bulk API 2.0 | Cloud Computing | Data Modeling | Data Normalization | Data Pipelines | Data Processing | Data Quality | EDI | ETL | Field mapping | GCP | IoT | MCP server | Microsoft Azure | Model Context Protocol | OAuth2 | OData | Power BI | REST API | Real Time | Real-time Data | Real-time Data Processing | SAP BAPI | Salesforce | Salesforce REST | Salesforce REST API | Schema management | X12
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Regions
Countries
States
Cities
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