Staff Data Engineer

New

Fully remote within the US, Eastern or Central time zones preferredFull-TimeStaff

Salary175,000 - 200,000 USD per year

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Job Details

Deep data engineering judgment with experience operating production-scale platforms.
Hands-on proficiency in writing production code, building CI/CD workflows, and debugging failures.
Strong understanding of ingestion fundamentals including APIs, CDC, backfills, and idempotency.
Expertise in Snowflake warehouse design, RBAC, performance tuning, and cost management.
Proven ability to manage data quality, anomaly detection, and business-rule reconciliation.
Experience sequencing complex, ambiguous work and writing design documentation.
Capability to align technical decisions with business outcomes and resolve technical blockers.
Experience collaborating with Engineering and Analytics stakeholders to define requirements.
Ability to use AI tools for debugging and building agent-ready data products.

Design and manage the data platform architecture, including ingestion patterns, warehouse design, and access governance.
Decide on streaming versus batch processing strategies based on business value and operational needs.
Partner with Platform Engineering to integrate data infrastructure securely with core systems.
Own end-to-end data integration processes from source profiling and design to QA and support.
Ensure pipeline reliability through effective monitoring, alerting, incident response, and runbooks.
Migrate legacy pipelines and retire brittle reporting paths like Azure Data Factory and SQL backup workflows.
Govern Snowflake environments, including roles, performance tuning, cost controls, and service account management.
Implement data contracts and observability practices to ensure schema stability and data quality.
Leverage AI and automation to accelerate debugging, documentation, and pipeline development.

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