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22 часа назад

Data Engineer (AI)

112 400 - 174 500$
Формат работы
hybrid
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Engineer (AI) (Python/Airflow): Building and optimizing large-scale ETL pipelines, data platforms, and aggregated card-level attributes for Visa’s analytics and decisioning capabilities with an accent on scalability, data quality, and reliability. Focus on designing reusable data solutions, managing Airflow DAGs, applying Medallion Architecture, and using generative AI tools for coding, documentation, and incident analysis.

Location: Foster City, California, United States; at least 3 days in the office required. The role requires 5–10% travel and is performed in an office setting.

Salary: $112,400–$174,500 per year, with potential bonus and equity eligibility.

Company

hirify.global operates a global payments technology network connecting consumers, merchants, financial institutions, and governments.

What you will do

  • Design, build, and manage large-scale ETL processes producing card-level aggregated attributes.
  • Develop scalable, modular, and reusable data engineering solutions.
  • Build, schedule, monitor, and manage Apache Airflow DAGs and data pipelines.
  • Ensure data quality through reconciliation, validation, monitoring, alerting, and issue resolution.
  • Design data models and integrated data solutions using modern architectural patterns such as Medallion Architecture.
  • Collaborate with stakeholders to clarify requirements and participate in Scrum ceremonies.

Requirements

  • At least 6 months of work experience or a bachelor’s degree; 2+ years of experience is preferred.
  • Hands-on experience building and operating production data pipelines.
  • Proficiency in Python, SQL, and PySpark, with experience in Hadoop ecosystem technologies such as Apache Spark and Pandas.
  • Experience with Airflow, Unix/Linux and Bash, relational and NoSQL databases, and AWS services including S3, EMR, and Glue Catalog.
  • Experience with data quality, resiliency, observability, metadata, dependency, and workload management.
  • Ability to work from the Foster City office at least 3 days per week.

Nice to have

  • Experience with Iceberg, Databricks, or Snowflake.
  • Experience using generative AI tools such as Claude Code for coding, documentation, or incident analysis with appropriate review controls.
  • Experience communicating data warehouse plans and translating ambiguous business requirements into technical implementation plans.

Culture & Benefits

  • Work within the Global Data Office and a Data Engineering team supporting hirify.global’s global analytics and decisioning capabilities.
  • Participate in agile development and Scrum ceremonies.
  • Benefits may include medical, dental, vision, 401(k), FSA/HSA, life insurance, paid time off, and wellness programs.
  • Work hours vary according to department needs.

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