Staff Data Engineer (AI)

Location: Remote-first, United States

Salary: $186,500–$255,000 base pay annually, depending on geographic zone; eligible for a company-wide bonus program.

Company

hirify.global is an agentic web marketing platform for modern marketing teams that helps organizations build, manage, and optimize high-performing web experiences.

What you will do

• Design data solutions for batch, streaming, and real-time workloads.
• Design, build, maintain, and scale reliable cloud data infrastructure and pipelines using Spark, Kafka, Iceberg, Airflow/MWAA, Druid, and EMR on EKS.
• Contribute to data lake and data platform evolution across ingestion, processing, storage, and serving patterns.
• Implement data quality, observability, reliability, and governance across pipelines and systems.
• Define event instrumentation standards, including event schemas, validation, and schema evolution.
• Build centralized PII handling, retention, deletion, residency, and AI agent-harness capabilities for GDPR/CCPA support and safe AI-assisted development.

Requirements

• 5+ years of experience in data engineering, building and operating production data pipelines and platforms.
• BA/BS degree or equivalent experience.
• Strong experience with Spark and distributed data processing, including designing and optimizing production data pipelines.
• Experience designing batch, real-time, and streaming data solutions using Kafka, Spark Structured Streaming, and CDC.
• Experience implementing data quality, observability, and reliability across production data systems.
• Experience with cloud data infrastructure, CI/CD, and infrastructure-as-code.
• Demonstrated experience leading complex data engineering initiatives end-to-end, from technical design and decomposition through implementation and production.
• Strong programming and SQL skills, with experience building reliable and maintainable data systems.
• Ability to navigate ambiguity, evaluate architectural tradeoffs, make pragmatic technical decisions, and consider the end-to-end data ecosystem.
• Experience with data governance and privacy, including PII management, retention, deletion, data residency, GDPR, or CCPA.
• Experience with event instrumentation and governance, including event schemas, validation, and schema evolution.
• Ability to collaborate on complex technical problems, establish engineering best practices, and apply AI and emerging technologies in development workflows.

Culture & Benefits

• Remote-first, full-time, permanent, exempt employment in the United States.
• Values emphasize customer trust, teamwork, reinvention, ownership, inclusion, and accountability.
• Equity through RSUs for every permanent employee and eligibility for the annual WIN bonus program.
• Medical, dental, and vision coverage for full-time employees and dependents, with most premiums covered.
• Paid parental leave, flexible vacation, paid holidays, sabbatical, mental health resources, therapy, and coaching.
• U.S. 401(k) with 100% employer match up to $6,000 annually, localized work and wellness stipends, and global retirement savings support.