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4 часа назад

Data Engineer (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, нашего списка международных tech-компаний

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TL;DR

Data Engineer (AI): Designing and maintaining data infrastructure and ETL processes to support data integration and analytics requirements within the DISA enterprise with an accent on data models, schemas, and database structures. Focus on optimizing data processing workflows for performance and scalability, and building and deploying models and algorithms within a data environment.

Location: O'Fallon, Illinois

Company

hirify.global brings together the ideal combination of talent, partners and products to disrupt the status quo in technology and drive success for business and government.

What you will do

  • Design, develop, and maintain scalable data pipelines and ETL processes.
  • Collaborate with data scientists, analysts, and other stakeholders to understand data needs and deliver high-quality data solutions.
  • Implement data models, schemas, and database structures to ensure efficient data storage and retrieval.
  • Optimize and tune data processing workflows for performance and scalability.
  • Develop and maintain documentation for data engineering processes, workflows, and systems.
  • Monitor and troubleshoot data pipeline issues, ensuring timely resolution and minimal disruption to operations.

Requirements

  • Bachelor’s degree in computer science, Information Technology, Engineering, or a related field or equivalent experience.
  • Minimum of 10 years of experience in data engineering, data warehousing, or a related field.
  • Active DoD Secret Clearance is required.
  • Proficiency in programming languages such as Python, Java, or Scala.
  • Proficiency with SQL and database technologies (e.g., PostgreSQL, MySQL, Oracle).
  • Hands-on experience with big data technologies (e.g., Hadoop, Spark, Kafka) and cloud platforms (e.g., AWS, Azure, Google Cloud).

Nice to have

  • Knowledge of AI/ML techniques, including building and deploying models and algorithms within a data environment.
  • Certifications in relevant technologies (e.g., AWS Certified Data Analytics, Google Professional Data Engineer).

Culture & Benefits

  • Competitive salary and excellent benefits.
  • Exceptional work environment.
  • Join a growing company.
  • hirify.global is an equal opportunity employer.

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