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обновлено 7 дней назад

Senior Data Engineer (Databricks)

Формат работы
remote (только USA)
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

Текст:
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TL;DR
Senior Data Engineer (Databricks): Design, build, and support secure enterprise data platforms and production pipelines for a federal government client with an accent on Databricks, Google Cloud Platform, data modeling, and governance. Focus on integrating complex data sources, delivering reusable data products for analytics and AI/ML, and maintaining quality, security, traceability, and compliance across the data lifecycle.

Location: Fully remote within the United States. U.S. citizenship is required, along with eligibility to obtain and maintain federal suitability, a government-issued PIV credential, and required system access.

Company

hirify.global is a growing Maryland startup that develops secure applications, data products, and automated solutions for government and other customers.

What you will do

  • Design, build, deploy, and support production data pipelines and enterprise data solutions using Databricks, Google Cloud Platform, BigQuery, Python, SQL, and related technologies.
  • Develop enterprise data models and layered architectures that transform multiple source systems into reusable data products for analytics, applications, reporting, automation, and AI/ML.
  • Extract, transform, validate, and analyze data to support reporting, business intelligence, artificial intelligence, and operational decision-making.
  • Ensure data quality, security, governance, traceability, and compliance throughout the data lifecycle.
  • Collaborate with technical teams, program leadership, and federal stakeholders to define requirements, evaluate options, document solutions, and resolve technical issues.
  • Evaluate new technologies and support testing, deployment, production operations, and continuous improvement.

Requirements

  • Bachelor’s degree in computer science, data science, information systems, engineering, or a related field, or equivalent professional experience.
  • At least 12 years of relevant data engineering, software engineering, data architecture, or technical delivery experience; a master’s degree with 10 years of experience is also considered.
  • Hands-on experience delivering production data engineering solutions in an enterprise Databricks environment, including data pipelines, orchestration, Delta Lake, Unity Catalog, CI/CD, deployment, security, and governance.
  • Experience with technologies such as GCP, BigQuery, Python, SQL, JavaScript, Google Apps Script, APIs, cloud platforms, databases, and visualization tools.
  • Understanding of data modeling, ETL/ELT, data quality, governance, security, and production support.
  • Strong problem-solving, documentation, communication, teamwork, initiative, and ownership skills.

Culture & Benefits

  • Comprehensive health, dental, and vision insurance.
  • Short-term disability and life insurance.
  • Matching 401(k) contributions and paid time off, including 11 holidays and a birthday holiday.
  • Professional development support, fitness membership, and home-office allocations.
  • Performance bonuses, profit sharing, and employee referral bonuses.
  • Values-driven culture focused on curiosity, authenticity, initiative, employee development, and customer service.

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