Data Engineer

Location: United States

Company

hirify.global provides data and workflow solutions for commercial real estate and location intelligence, serving brokers, banks and lenders, law firms, and environmental consulting and engineering firms.

What you will do

• Build, test, and maintain batch and event-driven data pipelines and ETL/ELT workflows.
• Transform, validate, and organize data for product features and downstream consumers.
• Investigate pipeline and data-quality issues, troubleshoot root causes, and implement fixes.
• Improve workflow reliability, efficiency, and maintainability while supporting platform modernization.
• Work with engineering, product, and data stakeholders to understand requirements and deliver scalable data solutions.
• Apply version control, code review, testing, monitoring, and documentation practices.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• 2+ years of relevant industry experience, including building and maintaining production ETLs.
• High proficiency in at least one SQL dialect, Python, and at least one scalable data processing framework such as Spark, DuckDB, or Polars.
• Experience designing, building, and operating batch and/or event-driven data pipelines.
• Experience with a workflow orchestration platform such as Prefect, Airflow, or Dagster, and familiarity with distributed data processing.
• Experience with cloud data and infrastructure services in AWS and/or GCP.
• Familiarity with modern data storage formats and technologies, including Apache Parquet and Delta Lake.
• Working knowledge of GitHub workflows, including pull requests, code review, branching, and CI/CD automation with GitHub Actions.
• Clear communication, curiosity, and a collaborative approach to problem-solving.

Nice to have

• Experience using Codex or other LLM-assisted development tools to generate and refine code from specifications, with strong code-review and testing practices.
• Experience processing large-scale geospatial or location-based data.
• Experience with data modeling and designing data solutions for multiple product or business use cases.
• Experience supporting production data workflows with monitoring, alerting, and incident-response practices.

Culture & Benefits

• Collaborative work with engineering, product, and data stakeholders.
• Work may occasionally require additional hours outside the standard schedule, including holidays, evenings, or weekends, to meet deadlines or support customers and production operations.
• Equal employment opportunities are provided without regard to protected characteristics.
• Recruitment accommodations are available upon request.