Staff Data Engineer (Fintech)

Location: Austin, Texas, United States; hybrid position with at least 3 days in the office and 5–10% travel

Salary: $137,200–$219,700 USD per year, with potential bonus and equity eligibility

Company

hirify.global is a global payments technology company facilitating transactions between consumers, merchants, financial institutions, and government entities.

What you will do

• Design, build, and optimize large-scale batch and real-time data pipelines.
• Develop highly available, scalable, and resilient distributed data systems and hirify.global's data token platform.
• Lead the processing, transformation, and management of structured and unstructured data across platforms.
• Build data platforms and products supporting analytics, reporting, and machine learning use cases.
• Architect and optimize ETL/ELT pipelines using big data technologies.
• Implement automation, monitoring, observability, governance, and data quality practices while mentoring engineers.

Requirements

• At least 5 years of relevant experience with a bachelor's degree, or equivalent advanced-degree experience.
• Experience with big data engineering, Hadoop, Apache Spark, Python, and SQL.
• Experience building large-scale data pipelines, ETL processes, Spark pipelines, and machine learning solutions.
• Knowledge of Docker, Kubernetes, Kafka, Redis, Flink, TensorFlow, Triton, AWS, Airflow, and Control-M.
• Experience with scalable enterprise applications, data governance, security analysis, Agile development, TDD, CI/CD, and databases.
• Must work in a hybrid office setting in Austin with at least 3 days in the office.

Culture & Benefits

• Agile development environment with cross-functional collaboration.
• Opportunities to lead experimentation, prototyping, and adoption of new data engineering technologies.
• Mentoring and continuous learning are part of the role.
• Benefits may include medical, dental, vision, 401(k), FSA/HSA, life insurance, paid time off, and wellness programs.
• Work hours vary according to departmental needs.