Software Development Engineer 2 – Data Engineering
Tasks
- Align stakeholders on definitions and single source of truth
- Build and maintain data pipelines
- Conduct data volume analysis for scalability
- Configure dbt project structure and model ownership
- Design data models in Snowflake using dbt
- Implement automated data quality tests and verification checks
- Ingest stage and reconcile data for a customer data platform
- Integrate AI augmented engineering workflows and validate outputs
- Lead technical demos and alignment workshops
- Maintain golden paths for data orchestration workflows
- Manage CDP mart evolution for downstream segmentation
- Mentor engineers with pair programming and code reviews
- Own feature level architecture decisions and document ADRs
- Perform data discovery and feasibility analysis
- Translate commercial and marketing rules into data logic
- Use CI CD automation for data and code quality gates
Perks/Benefits
- Dental insurance
- Disability insurance
- Flexible spending accounts
- Health insurance
- Health savings account
- Life insurance
- Paid time off
- Retirement savings plan
- Tuition reimbursement
- Vision insurance
Skills/Tech-stack
Architecture Decision | Architecture Decision Records | Automated testing | CI/CD | DBT | Data 360 | Data Modeling | Data Quality | Data Warehousing | Data cloud | Data orchestration | Data pipeline | Decision records | Regression testing | SQL | Salesforce | Salesforce Data 360 | Salesforce Data Cloud | Salesforce data | Snowflake | Version control
Education
N/A
Roles
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