Sr. Data Engineer

Location: Fully remote, based in Brazil; work follows Brasilia Standard Time.

Company

hirify.global is an education technology platform that helps creators and businesses deliver courses, coaching, digital downloads, and communities.

What you will do

• Set data modeling, architecture, and best-practice standards for large-scale data pipelines.
• Lead high-impact data engineering initiatives across multiple business domains.
• Partner with Product, Finance, Engineering, and business stakeholders to deliver reliable data solutions.
• Make build-versus-buy decisions for product analytics and data infrastructure.
• Manage technical debt while improving scalability, reliability, and maintainability.

Requirements

• Senior-level experience owning large-scale data pipelines and complex data architectures.
• Strong understanding of data lakes, lakehouse architectures, and ETL/ELT approaches.
• Experience designing and operating cloud-native data platforms on AWS.
• Strong experience with orchestration and workflow tools such as Airflow.
• Working knowledge of infrastructure-as-code principles and tools such as Terraform.
• Experience with batch and streaming data systems, including technologies such as Kafka, Kinesis, or Spark Streaming, plus strong stakeholder communication skills.

Nice to have

• Experience with dbt and metadata or data catalog tools.
• Experience with DMS, AppFlow, SQS, or SNS.
• Knowledge of Data Mesh and domain-driven data patterns.
• Experience delivering production-grade software systems.

Culture & Benefits

• Remote-first culture with collaboration across the United States and Brazil.
• Employment under a CLT contract with compensation in BRL.
• In-person team events are held throughout the year.
• Compensation is informed by market data and reviewed regularly, typically during annual performance reviews or promotion cycles.