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3 дня назад

Senior Data Engineer (Databricks)

115 000 - 165 000$
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
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Описание вакансии

Текст:
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TL;DR
Senior Data Engineer (Databricks): Building secure enterprise data architectures, data hubs, lakes, warehouses, and batch and streaming pipelines for U.S. Navy human resources and manpower systems with an accent on Databricks, Spark, Kafka, AWS, and Palantir Foundry. Focus on designing scalable ETL/ELT solutions, optimizing data processing and storage, implementing data quality controls, and supporting secure federal mission systems.

Location: 100% remote within the continental United States. Standard business hours are aligned to the Eastern Time Zone. Occasional travel to client sites or meetings may be required.

Salary: $115,000–$165,000 USD annually

Company

hirify.global is a fast-growing federal contractor delivering secure engineering and technology solutions for critical missions.

What you will do

  • Design, implement, integrate, and maintain enterprise data architectures, data hubs, data lakes, and data warehouses.
  • Develop and optimize batch and streaming ETL/ELT pipelines using Python, Spark, Databricks, Kafka, and related technologies.
  • Build data models, acquisition processes, integration workflows, and incremental loading strategies for the HC/HR data domain.
  • Configure and manage Databricks clusters, Delta Lake solutions, Kafka components, and AWS-based data processing services.
  • Support Palantir Foundry development, including ontologies, pipelines, applications, and data-driven interfaces.
  • Implement data quality controls, testing, lifecycle policies, monitoring, troubleshooting, and performance optimization.

Requirements

  • U.S. residency in the continental United States and U.S. citizenship are required.
  • Eligibility to obtain and maintain a Department of Defense Secret security clearance is required.
  • At least 5 years of professional experience in enterprise data engineering, data architecture, data modeling, data integration, and data quality.
  • Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, Information Technology, or a related field.
  • Hands-on experience with Databricks, Python, SQL, Spark or PySpark, ETL/ELT pipelines, and enterprise data platforms.
  • Experience with Kafka, AWS services, Git-based version control, and complex technical troubleshooting; strong written and verbal communication skills.

Nice to have

  • Experience with Palantir Foundry, including ontologies, pipelines, applications, and data-driven user interfaces.
  • Active CompTIA Security+ or Network+ certification.
  • Experience with Jenkins, Docker, CloudWatch, SSIS, Pentaho, AWS Data Migration Service, or the Jupiter data and analytics environment.

Culture & Benefits

  • Flexible scheduling and remote work arrangements supporting work-life balance.
  • Medical, dental, and vision insurance available nationwide.
  • Three weeks of paid time off and 11 paid federal holidays.
  • 401(k) matching, life insurance, and short- and long-term disability coverage at no cost.
  • Professional development and certification reimbursement, training assistance, wellness incentives, and flexible spending accounts.

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