Senior Staff Data Engineer

TL;DR

Senior Staff Data Engineer (Snowflake/Spark): Design and build scalable ETL/ELT pipelines and data services for Observability & Insights powered by Identity Graph with an accent on graph-oriented storage, data quality governance, and extreme-scale performance. Focus on optimizing graph-serving models for low-latency visualization, leading cross-team architecture, and driving cost/reliability improvements in Spark/Flink workloads.

Location: Remote within the United States. US Citizenship required due to FedRAMP support responsibilities.

Salary: $155,800 - $262,550 USD (US-based)

Company

hirify.global builds industry-leading identity governance and observability solutions for access paths to sensitive data.

What you will do

• Lead architecture and implementation of scalable ETL/ELT pipelines and data services for Observability & Insights.
• Own technical strategy for core data domains and align roadmaps across partner teams.
• Act as primary technical lead for cross-team initiatives with clear delivery outcomes.
• Set and enforce standards for data quality, governance, lineage, observability, and operational readiness.
• Drive performance and cost improvements across Spark/Flink/SQL/CQL workloads and storage.
• Optimize graph-serving data models for responsive complex relationship visualizations at scale.
• Partner with product and UI teams to deliver low-latency graph exploration experiences.
• Participate in on-call and lead incident improvements for system resilience.

Requirements

• 12+ years building production software, with substantial data engineering at SaaS scale.
• 6+ years owning architecture for commercial data platforms.
• US Citizenship required due to FedRAMP.
• Expert in Snowflake data modeling and query optimization.
• Strong hands-on with dbt, Airflow, distributed processing (batch + streaming).
• Strong experience with Cassandra and graph-oriented data systems.
• Experience with systems handling billions of relationships with predictable latency.
• Deep understanding of cloud-native systems on AWS, Azure, or GCP.
• Proven leadership in high-complexity cross-team projects.
• BS in Computer Science, Engineering, or equivalent.

Nice to have

• Experience with SLOs and observability tools (Grafana, Prometheus, Datadog).
• Instrumenting data jobs for performance, quality, cost visibility.
• Familiarity with IAM/IGA, compliance, security domains.
• Experience with Kubernetes, IaC, continuous delivery for data systems.
• Data lake patterns and Spark/Flink tuning.
• Familiarity with AI.

Culture & Benefits

• Health coverage: medical, dental, vision insurance.
• Financial: 401(k) with matching, HSA with contribution, flexible spending accounts.
• Time off: flexible vacation, sick leave, paid holidays, parental leave.
• Protection: short/long-term disability, life insurance, AD&D.
• Support: EAP, voluntary benefits (legal, critical illness, pet insurance).
• Potential bonus, equity, competitive pay adjusted by location.