Principal Data Engineer
New
U
UpsideCommerce Technology
Location: DC; Secondary Locations: NYC, Austin, Chicago; Workplace: RemoteFull-TimePrincipal
Salary$215K - $250K
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Job Details
- Experience
- 8+ years
- Required Skills
- AWSSnowflakeCI/CDDevOpsTerraformdbtDatabricks
Requirements
- 8+ years in data or analytics engineering with a track record of owning complex, business-critical systems end to end
- Hands-on experience with AWS; deployments, workload management, cloud infrastructure
- Experience with the modern data stack (Snowflake, dbt, Dagster, Databricks, Terraform)
- A track record of leading platform migrations, deprecations, or upgrades across shared systems
- Ability to design secure, reusable patterns for data ingestion, access control, and platform automation
- Comfort partnering with Infrastructure, Security, and Governance stakeholders
- Experience with DevOps practices (CI/CD for data), data governance, or FinOps
- Ability to break down ambiguous, cross-functional problems and lead implementation from design to deployment
- Clear communication across all audiences; engineers, analysts, product managers, and business leaders
- A genuine drive to mentor others, set standards, and leave every system better than you found it
Responsibilities
- Lead platform modernization; deprecate legacy workflows, migrate pipelines to scalable patterns, and sharpen our CI/CD and developer experience
- Drive infrastructure and FinOps initiatives across Snowflake, Dagster, and dbt; reducing cost, improving governance, and increasing maintainability
- Own platform evolution projects like making data consumable by agentic tools and workflows, and improving orchestration across the analytics stack
- Design and deliver complex, domain-critical data products used by analysts, data scientists, and product teams to ship features and drive strategy
- Architect reusable, extensible patterns for modeling, orchestration, and transformation; balancing flexibility, cost, and long-term maintainability
- Lead technical planning across cross-functional teams, breaking down large data initiatives into scoped, sequenced workstreams
- Mentor engineers, build internal documentation and tooling, and raise the overall standard for analytics engineering at Upside
- Partner with engineering, product, data science, and business stakeholders to deliver end-to-end solutions
- Represent Data Engineering in design forums and shape the future roadmap for data at Upside
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