Назад
Company hidden
1 день назад

Senior Data Engineer (Databricks/Azure)

195 000 - 225 000$
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
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/

TL;DR

Senior Data Engineer (Databricks/Azure): Lead migration from on-premises to cloud data platforms and build secure, scalable Databricks workspaces with governed access. Focus on workspace automation, IAM/RBAC and data governance, linked services integrations, and troubleshooting data access and pipeline issues in a federal environment.

Location: Fully remote, located in the United States

Salary: $195,000 - $225,000 Annually

Company

hirify.global delivers IT services and solutions that help government agencies modernize how they operate.

What you will do

  • Lead migration efforts from on-premises infrastructure to cloud-based solutions.
  • Lead data platform engineering work with security and analytics stakeholders to ensure compliant workspace operations.
  • Build and configure Databricks workspaces in PreProd (live data) or Prod, including service principals, personas, access controls, and security settings.
  • Create and manage linked services, mount points, and integrations between Databricks and the VHA Data Lake.
  • Develop and maintain Databricks catalogs for governed data discovery and access.
  • Troubleshoot user issues across data access, workspace configuration, pipelines, cataloging, and permissions; monitor performance and recommend improvements.

Requirements

  • Clearance: Ability to obtain and maintain a suitability/Public Trust.
  • Bachelor’s degree plus 12 years of experience in Information Technology, Engineering, or a related field (or commensurate experience).
  • Strong analytical, problem-solving, and communication skills.
  • Expertise with Azure or other major cloud platforms.
  • Proficiency in data engineering fundamentals: ETL/ELT, data modeling, and structured/unstructured datasets.
  • Ability to automate provisioning workflows and infrastructure using scripting or infrastructure-as-code (Python, PowerShell, Bash, Terraform, ARM, or Bicep).

Nice to have

  • Experience supporting public sector or healthcare data environments.

Culture & Benefits

  • Flexible work environment; role is available to full-time employees.
  • Employee Assistance Program (EAP) and corporate discounts.
  • Learning & Development platform with certification preparation content, plus training/education/certification assistance.
  • Referral bonus program and internal mobility program.
  • Pet insurance.

Hiring process

  • Virtual video interview with the hiring manager and/or team (camera on required; valid photo ID presented).
  • Enhanced biometrics ID verification and background check (criminal history, education verification, and employment history for the past 7 years).

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →