Senior Data Engineer
Tasks
- Analyze data from multiple sources to troubleshoot errors
- Automate data validation and governance
- Connect files APIs databases and enterprise systems
- Define data annotation and labeling processes
- Define data retention policies
- Design and build AI assisted workflows
- Design and build data pipelines for data collection and processing
- Design develop and optimize scalable ETL architectures
- Develop maintain and debug data solutions in agile environment
- Document solutions and operating procedures
- Escalate complex issues
- Implement data governance policies and procedures
- Implement data security measures
- Implement data storage solutions for analysis
- Implement data validation and integrity checks
- Implement validation and human in the loop controls
- Independently manage work timelines and deliverables
- Manage data pipeline and storage operations
- Partner with stakeholders to define business outcomes
- Prioritize work and adapt to resource timeline changes
- Recommend improvements to workflows and protocols
- Redact PII and PHI
- Scale solutions across teams
- Support stakeholder adoption through training and guidance
- Translate business requirements into workflows prompts agents skills integrations
- Troubleshoot workflow data integration and AI issues
- Write runnable code and test and debug data solutions
Perks/Benefits
- 401k matching
- Adoption Assistance
- Dental insurance
- Employee stock purchase plan
- Flexible spending accounts
- Flexible work benefits
- Health insurance
- Life insurance
- Paid Holidays
- Paid parental leave
- Paid sick leave
- Paid time off
- Vision insurance
- Volunteer opportunities
Skills/Tech-stack
API Integration | Agile Development | Automation | Data Annotation | Data Governance | Data Pipelines | Data Quality | Data Retention | Data Security | Data Storage | Data Validation | Data integration | Data labeling | Data profiling | ETL | Human-in-the-loop | PHI Redaction | PII Redaction | The Loop
Education
N/A
Roles
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