Data Engineer

Location: San Francisco, United States; on-site

Salary: $111K–$196K annually, to be discussed

Company

hirify.global is a self-funded software company creating an AI-powered Personal & Entrepreneurial Resource Planner, with offices in Lisbon and San Francisco and more than 100 million downloads worldwide.

What you will do

• Design, build, and maintain scalable data pipelines and ETL workflows for analytics and reporting.
• Develop and optimize cloud-based data warehouses and data lakes.
• Implement real-time and batch data processing for structured and unstructured data.
• Automate data ingestion, transformation, and validation to improve data quality.
• Monitor query performance and data-processing efficiency while ensuring reliability, consistency, and scalability.
• Collaborate with data analysts, data scientists, and software engineers to support business intelligence and machine learning initiatives.

Requirements

• Approximately 4+ years of experience in data engineering, software engineering, or database management.
• Proficiency in SQL, Python, or Scala for data processing and automation.
• Experience with cloud data solutions such as AWS Redshift, Google BigQuery, Azure Synapse, or Snowflake.
• Experience building ETL pipelines with Apache Airflow, dbt, Talend, or Fivetran.
• Strong understanding of data modeling, schema design, database optimization, security, governance, and compliance.
• Familiarity with orchestration tools, Docker, Kubernetes, and CI/CD workflows.

Nice to have

• Experience with big data frameworks such as Apache Spark, Hadoop, Kafka, or Flink.

Culture & Benefits

• Apple hardware for work.
• Annual bonus and medical insurance with vision and dental coverage.
• Short- and long-term disability insurance and a 401(k) contribution of up to 4%.
• Transportation budget, free meals at the hub, and gym membership.
• Air Conference for team collaboration and professional growth.
• Commitment to a diverse, inclusive, and equitable workplace.

Hiring process

• Applicants must submit their own work without AI-generated assistance; AI use in application materials, assessments, or interviews results in disqualification.