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Senior Data Engineer

LinkedIn PriceSmart San Diego, CA
Mid-Senior level Posted April 4, 2026 Job link
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Requirements
  • Platforms: Snowflake, Informatica Cloud (CDI / CAI), dbt Cloud, Azure Fabric
  • Languages: SQL, Python (Scala a plus)
  • Tooling and practices: CI/CD pipelines, observability, lineage tools, FinOps dashboards, DataOps What success looks like
  • Consistent, high-quality data across countries and regions
  • Delivery of governed, reusable data models supporting enterprise analytics
  • Reduced latency and optimized cost per pipeline
  • Strong adoption of standards and architectural patterns
  • Demonstrated impact through mentorship, knowledge reuse, and capability uplift across teams Bring your passion and expertise (Who you are)
  • 5–8+ years of experience as a Data Engineer or Senior Data Engineer working with enterprise-scale data platforms
  • Proven experience architecting and operating data pipelines across multiple systems or regions
  • Deep expertise in SQL and Python, with strong data modeling skills
  • Hands-on experience with Snowflake and Informatica Cloud in production environments
  • Strong understanding of data governance, security, and compliance in regulated or multi-country contexts
  • Experience implementing CI/CD, DataOps, and observability practices for data platforms
  • Comfortable leading technical discussions and influencing architectural decisions
  • Able to mentor engineers and communicate complex technical concepts to both technical and business stakeholders
  • Fluent in English and Spanish, with experience working in multicultural, distributed teams Some important intangibles
Preferred Skills
  • Hands-on experience with Snowflake and Informatica Cloud in production environments
  • Fluent in English and Spanish, with experience working in multicultural, distributed teams Some important intangibles