Staff Data Engineer (Big Data)

Location: Remote-first, candidates can live anywhere in Brazil; optional work from São Paulo offices or partner coworking spaces up to twice a week.

Company

hirify.global is a real estate technology ecosystem operating across Latin America, developing digital products and solutions for the housing journey.

What you will do

• Build and maintain a high-performance, scalable, self-service, and secure data platform.
• Design, develop, and maintain end-to-end data pipelines, including aggregation, transformation, cleaning, and quality checks.
• Create data models, transformation workflows, semantic abstractions, and multidimensional schemas.
• Own the development lifecycle, including deployment monitoring, documentation, performance, security, metrics, alarms, and SLO compliance.
• Investigate data inconsistencies, troubleshoot root causes, and enable teams to use data through self-service tools and well-modeled datasets.
• Collaborate with stakeholders, run proofs of concept and benchmarks, and contribute to the strategic vision for data engineering.

Requirements

• Expertise in Big Data technologies and concepts, including Spark, Hadoop, Hive, and MapReduce.
• Experience with Airflow, Spark, AWS, Databricks, columnar storage, and data lakehouse concepts.
• Strong software engineering foundation, with proficiency in Python or another major programming language and a focus on clean, maintainable code.
• Strong SQL query performance optimization skills and experience with Star or Snowflake dimensional schemas.
• Understanding of data lineage, governance, privacy, retention, and anonymization.
• Knowledge of Kubernetes or ECS, CI/CD, Terraform, Prometheus, Grafana, and experience as a technical or project lead. Proficiency in English is required.

Nice to have

• Experience building large-scale data platforms for big data sets and teams.
• Experience with Trino, Atlas, Ranger, or similar Big Data technologies.
• Experience building semantic layers.

Culture & Benefits

• Remote-first work model with home office allowance.
• Profit sharing, meal allowance, health insurance, dental plan, and life insurance.
• Childcare and atypical parenthood subsidies, extended parental leave, and Wellhub.
• Employee assistance covering mental health, social, legal, and financial support.
• Birthday, Mother’s Day, and Father’s Day leave, plus education discounts and a benefits club.

Hiring process

• Application and recruiter interview.
• Technical screening followed by technical interviews with the Data Team.
• Offer stage.