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2 дня назад

Mid-Level Data Engineer

130 000 - 140 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
middle
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
Mid-Level Data Engineer (AWS/Redshift): Developing and operating data pipelines for a federal data analytics and business intelligence platform with an accent on secure data processing, ETL, cloud data warehousing, and production model deployment. Focus on automating data ingestion, optimizing extraction and processing reliability, and implementing API-first, continuously integrated engineering practices.

Location: Remote within the United States; Virginia specified

Salary: $130,000–$140,000 per year

Company

hirify.global Federal is a federal technology organization delivering data, AI, cybersecurity, and enterprise transformation solutions for defense, intelligence, and civilian government agencies.

What you will do

  • Develop and maintain data pipelines for storing, managing, processing, and provisioning data to consumers.
  • Partner with data scientists, data architects, developers, and federal stakeholders to deploy models into production.
  • Write code that improves the performance and reliability of data extraction and processing.
  • Automate data ingestion and support system applications through upgrades, patches, and configuration changes.
  • Implement API-first design, continuous integration, version control, automated testing, and other lean-agile engineering practices.
  • Document complex requirements and collaborate with multidisciplinary teams in an agile environment.

Requirements

  • Must be a US citizen and able to obtain Public Trust Clearance.
  • 7+ years of IT experience, including modern cloud data warehouse technologies.
  • Experience designing table models and ingesting varied data into Amazon Redshift.
  • Proficiency with ETL development, testing, validation, and data manipulation using Python, R, SQL, or SAS.
  • Strong knowledge of big data analysis and storage technologies, AWS, relational databases such as PostgreSQL, and Git.
  • Understanding of agile principles and their practical application.

Nice to have

  • Experience creating and consuming APIs.
  • Experience with DHS standards, Tableau, or Power BI.
  • Experience translating business and technical requirements into data strategies and analytic solutions.
  • Experience with AI/ML tools, NLP, data provenance, LLMs/RAG, or deep learning.

Culture & Benefits

  • Work remotely in a small, multidisciplinary team environment.
  • Collaborate with data scientists, engineers, product managers, researchers, designers, and federal stakeholders.
  • Mission-driven work supporting high-priority federal data and analytics initiatives.
  • Focus on innovation, accountability, customer service, collaboration, and professional growth.
  • Benefits are provided by hirify.global.

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