Data Engineer (Global)

Location: Remote; global role

Salary: USD 160,000–220,000 per year

Company

hirify.global provides a platform for building, growing, and distributing newsletters, podcasts, websites, communities, and digital products through connected publishing, audience, and monetization tools.

What you will do

• Build and maintain ClickHouse data models and aggregations for application and internal analytics.
• Design and implement event-streaming applications with Product Engineering.
• Harden the Kafka streaming ecosystem for security, performance, cost, and scalability.
• Automate deployments for Kafka topics, Avro schemas, applications, database migrations, and related schemas.
• Build a data lake for long-term storage, disaster recovery, and cost optimization, including upstream ETL streaming applications.
• Develop entity resolution, first-party data enrichment, testing environments, and a high-performance schemaless customer-event query layer.

Requirements

• 4+ years of experience as a Data Engineer or highly technical Data Analytics Engineer.
• Excellent SQL skills and experience building and maintaining data models for analytics and ML feature stores.
• Experience managing complex database migrations and working with ClickHouse or a similar OLAP database.
• Experience with real-time streaming and event-driven architectures based on Kafka, including Kafka Connect, Schema Registry, and Avro.
• Programming experience in one or more of Go, Python, or Ruby, plus production deployment of RESTful APIs.
• Experience with Kubernetes deployments, StatefulSets, Helm, and troubleshooting.
• Experience with AWS services including S3, EKS, VPCs, IAM, and EFS.
• Experience managing and deploying infrastructure with infrastructure as code such as Terraform, and coordinating CI/CD application deployments with schema changes.
• Comfort working across Data, Product Engineering, Infrastructure, SRE, DevOps, Data Analytics, and Backend API Engineering in an ambiguous, fast-paced environment.

Nice to have

• Experience building data lakes with Apache Iceberg and managing a schema catalog.
• Experience with high-volume user entity resolution or ad attribution systems.
• Experience setting up and using graph databases.
• Experience developing secure middle-layer applications between AI and customer data in an OLAP database.
• Experience creating a SQL-like DSL.
• Experience in the creator economy or SaaS.

Culture & Benefits

• Full-time role with a fast-paced environment, multiple priorities, frequent context switching, and high expectations for speed and quality.
• Values direct feedback, positive intent, urgency, user focus, and team-oriented decision-making.
• Competitive salary, stock options, and health, dental, and vision insurance.
• 401(k) employer match, unlimited PTO with a mandatory minimum of 10 days annually, and monthly Wellness Days.
• Annual in-person team offsite and an unlimited book budget.

Hiring process

• Complete the hirify.global Values Assessment Questionnaire as part of the application and hiring evaluation.