Requirements
- 5–8 years in data engineering; 2+ in a senior/lead role.
- Expert in SQL and Python (or Scala) for data transformation at scale.
- Deep experience with batch and streaming data processing.
- Proven ability to design large-scale integration solutions, custom pipelines, and resilient data workflows.
- Familiarity with observability platforms and data quality frameworks.
- Strong understanding of cloud data platforms, preferably Snowflake or BigQuery.
- Excellent communication, mentorship, and cross-functional collaboration skills.
Nice to Have
- Hands-on experience with Fivetran, Airbyte, or other ELT tools.
- Experience with dbt or similar data transformation frameworks.
- Background in domain-oriented data products or data mesh principles.
- Exposure to event-driven architectures and real-time analytics.
- Knowledge of Kimball or Data Vault modeling approaches.
- Experience with infrastructure-as-code and GitOps workflows.
Benefits
- medical insurance
- dental insurance
- vision insurance
- flexible spending accounts
- health savings accounts (HSA) with company contribution
- 401(k) retirement plan with matching
- employee stock purchase program
- life insurance
- AD&D
- short-term disability insurance
- long-term disability insurance
- generous paid time off
- company holidays
- parental leave
- identity theft protection
- pet insurance
- pre-paid legal insurance
- back-up child and eldercare days
- product discounts
- referral bonus program
