Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Это работа с production-системами в команде платформы противодействия мошенничеству, но широкий перечень инструментов оставляет неясным, какие из них будут нужны ежедневно.
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Слишком много инструментовСовременный стекПоддержка развитияФинтех и защита от мошенничества
Оценка от Hirify AI
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Engineer (Fintech): Design, implement, test, and operate cloud-native, data-driven services and applications for a fraud intelligence platform with an accent on data transformations, orchestration, pipelines, and distributed data systems. Focus on building reliable production systems with Apache Airflow, dbt, Kafka, Snowflake, Kubernetes, and cloud data tools while working across the stack.
Location: Austin, TX, United States; hybrid work opportunities available. Applicants must be authorized to work for any employer in the U.S.; visa sponsorship is not available.
Company
hirify.global provides digital banking and lending solutions to banks, credit unions, alternative finance companies, and fintechs in the U.S. and internationally.
What you will do
Design, implement, test, and operate cloud-native, data-driven services and applications across the Fraud Intelligence Platform.
Work closely with experienced engineers on production-focused systems and real-world data.
Build and maintain data transformations, orchestration workflows, pipelines, and data replication solutions.
Develop reliable software and data-centric systems where quality and correctness matter.
Gradually take on more responsibility while working across the technology stack.
Requirements
Bachelor’s degree in Computer Science, Information Systems, or a similar field plus at least 2 years of related work experience, or an advanced degree.
Working knowledge of data transformations, data orchestration, pipelines, and data replication.
Working knowledge of SQL and NoSQL databases, data warehouses, distributed file storage, and compute platforms.
Good understanding of software engineering, distributed software design, and data-centric systems architecture.
Experience with data movement and pipeline tools: Apache Airflow, dbt, and Kafka.
Experience with Snowflake, SQL Server, Postgres, and DynamoDB.
Experience with Python, C#, Golang, Bash, and SQL.
Experience with GitLab, Azure DevOps, Terraform, and Argo CD for CI/CD and infrastructure-as-code deployment.
Experience with Kubernetes and Docker for containerization.
Experience with PySpark, Snowpark, AWS Glue, Pandas, Databricks, and SageMaker.
Fluent written and oral communication in English.
Authorization to work for any employer in the U.S.
Culture & Benefits
Hybrid work opportunities.
Flexible time off.
Career development and mentoring programs.
Health and wellness benefits, including health insurance and paid parental leave for eligible new parents.
Community volunteering, company philanthropy, employee recognition, and professional wellness programs.
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