Backend Engineer (Big Data)

Location: Hybrid in San Francisco, Little Rock, New York, or Seattle, United States

Annual base compensation: $156,500–$235,000

Company

hirify.global builds data collaboration infrastructure for brands, retailers, financial services providers, and healthcare innovators, supporting large-scale marketing and customer data activation.

What you will do

• Design and evolve a petabyte-scale activation platform toward a delta-first, cache-aware, cost-efficient architecture.
• Build distributed data pipelines with Apache Spark, Dataproc, SingleStore, Kubernetes/GKE, and streaming systems such as Pub/Sub and Redpanda/Kafka.
• Develop workflow orchestration and scheduling with Temporal, Cadence, queues, capacity pools, rate limits, and destination-specific SLAs.
• Improve multi-tenant fairness, latency, scalability, cache utilization, cluster sizing, autoscaling, and compute costs.
• Own production services, incident response, postmortems, observability, SLOs, and structural reliability improvements.
• Mentor engineers, lead design and code reviews, and represent Activations Backend in architecture discussions.

Requirements

• 5+ years of experience writing and deploying production code in Java, Go, Scala, or a similar modern language.
• Experience designing and delivering large-scale distributed or big data systems with measurable business impact.
• Strong data engineering and SQL skills, including complex queries and performance, correctness, and cost analysis on very large tables.
• End-to-end data pipeline experience covering ingestion, transformation, orchestration, failure handling, and observability.
• Experience with cloud and containerized environments, ideally GCP and Kubernetes/GKE.
• Ability to define technical strategy, collaborate across teams, communicate clearly, and mentor engineers.

Nice to have

• Experience with GCP services including GCS, Dataproc, GKE, Pub/Sub, BigQuery, and IAM.
• Experience with Temporal, Cadence, Airflow, or similar workflow orchestration systems.
• Experience with SingleStore, BigQuery, Snowflake, or similar data warehouses.
• Experience with high-volume streaming, multi-tenant rate limiting, fairness, SLA enforcement, and large-scale performance optimization.
• Background in advertising, marketing, data activation, or similarly scale- and correctness-sensitive platforms.

Culture & Benefits

• Work in a hybrid environment across hirify.global's engineering locations.
• Collaborate with Identity, Data Foundation, Activations Fullstack, and Integrations/OPI teams.
• Use AI-enhanced tools for coding, design exploration, data analysis, and operational debugging.
• Participate in technical strategy, architecture forums, incident response, and continuous operational improvement.