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Databricks Engineer

Key Facts

Full time
Mid-level (2-5 years)
English

Hard Skills

Roles & Responsibilities

  • Bachelor's degree preferred
  • Databricks Professional Certification strongly preferred
  • 2–3 plus years of hands-on Databricks experience
  • Direct experience working within the Databricks platform in production environments

Requirements:

  • Develop and maintain data pipelines, analytics workflows, and reporting solutions within Databricks
  • Build scalable data processing solutions using Apache Spark and Databricks tools
  • Support ingestion, transformation, and optimization of structured and unstructured data
  • Create dashboards, analytics models, and reporting capabilities for business and mission users

Job description

Overview
Razor is supporting a rapidly growing Databricks practice with dozens of funded openings supporting both commercial and federal programs for our client. Demand is significantly outpacing available talent, and we are actively seeking hands-on Databricks Engineers / Developers who are ready to contribute immediately. This role is ideal for professionals with strong real-world Databricks platform experience who enjoy building scalable data and analytics solutions in cloud environments.

Education & Certification Requirements
  • Bachelor's degree preferred
  • Databricks Professional Certification strongly preferred

Clearance Requirements
Ability to obtain and maintain a Public Trust clearance
TS candidates are strongly encouraged to apply

Remote Requirements
Primarily remote
Occasional client travel may be required

Responsibilities
  • Develop and maintain data pipelines, analytics workflows, and reporting solutions within Databricks
  • Build scalable data processing solutions using Apache Spark and Databricks tools
  • Support ingestion, transformation, and optimization of structured and unstructured data
  • Create dashboards, analytics models, and reporting capabilities for business and mission users
  • Collaborate with engineering, cloud, and client teams to deliver modern data solutions
  • Participate in troubleshooting, tuning, and performance optimization efforts
  • Support Agile delivery teams in fast-paced environments

Qualifications
  • 2–3+ years of hands-on Databricks experience
  • Direct experience working within the Databricks platform in production environments
  • Strong experience with Apache Spark and at least one of the following: Python, SQL, or Scala
  • Experience building analytics, reporting, or data engineering solutions
  • Ability to work independently in client-facing environments
  • Eligible to obtain and maintain a Public Trust clearance

Desired Skills
  • Experience supporting government or highly regulated environments
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud
  • Strong communication skills and ability to work across technical and non-technical teams
  • Comfort working in fast-moving delivery environments with immediate project demand

Razor is an EEO Employer
Razor is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected status under federal, state, or local law.

Razor Benefits Overview
Razor offers a competitive benefits package which may include medical, dental, vision, life insurance, short- and long-term disability, paid time off, paid holidays, and a 401(k) retirement plan. Benefits may vary based on position and contract requirements.

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