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2 дня назад

Data Engineer Staff

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Data Engineer Staff (Data Engineering): Deliver end to end full stack data solutions across the complete data processing pipeline with an accent on scalable batch & streaming pipeline design, data architecture/modeling, and secure operations for analytics and mission-critical applications. Focus on building ETL/ELT processes, enforcing data governance and security controls, and tuning performance while supporting DoD/SOFSA compliance.

Location: Lexington, Kentucky

Company

hirify.global builds defense and mission solutions across aerospace, cyber, and related domains.

What you will do

  • Build, test, and maintain robust data pipelines (batch & streaming) to clean, transform, and aggregate raw data into analytics-ready data stores.
  • Design and maintain data architecture and models (conceptual, logical, physical) with security, backup, and recovery specifications.
  • Deploy, monitor, and optimize ETL/ELT processes and reporting/analytics layers; tune performance and resolve production incidents.
  • Implement data quality checks, metadata management, data governance standards, and access-control/security best practices.
  • Support data risk identification and mitigation, including participation in Critical Design Reviews and liaison with Integrated Product Teams.
  • Integrate new data technologies (e.g., IBM Cloud Pak for Data) into the SOFSA enterprise environment and provide status reporting on pipeline health and risks.

Requirements

  • US Citizenship required to be considered for a position requiring a government security clearance.
  • Clearance level: Secret.
  • Bachelor’s degree in Artificial Intelligence, Computer Science, Information Systems, Data Engineering, or related field (Master’s preferred).
  • Proficiency with Hadoop, Java, Python, SQL, Hive, and PIG for data exploration; strong data-mining and data-warehousing principles.
  • Knowledge of DataOps processes and ability to implement data security controls (access control and encryption safeguards).
  • Ability to collect, store, monitor, and validate test data; assess methodological limitations and recommend mitigation strategies.

Culture & Benefits

  • Part-time remote telework with a split schedule between remote work and a designated hirify.global facility; weekly schedule discussed during hiring.
  • Flexible work schedules and non-standard 40-hour work week as assigned by leader.
  • Medical, dental, and vision coverage available for employees who opt-in.
  • 401(k) plan with generous matching and company contributions.
  • Paid time off, paid holidays, and paid time off for jury duty and military obligations.
  • Professional development via mentoring, internal/external education, networking, and skills enhancement programs.

Hiring process

  • Apply within the application window; scheduling and evaluation steps are handled during the hiring process.
  • Hiring includes discussion of the specific weekly remote/onsite schedule.
  • Security clearance requirements are part of consideration for the role.

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