Databrick Engineer

Booz Allen Hamilton Inc.
Fort Meade, MD, United States
3 months ago
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Role details

Contract type
Permanent contract
Employment type
Part-time / full-time
Experience level
Experienced
Experience required
2 years minimum
Compensation
$77,600.0 - $176,000.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence System Configuration Information Engineering Extract Transform Load (ETL) R (Programming Language) Apache Hive Identity and Access Management Python (Programming Language) Apache Maven Role-Based Access Control Cloud Services Zero Trust Network Access
+10 more
SQL Databases Apache Spark Infrastructure as Code (IaC) SC Clearance Pyspark Deployment Automation Restful APIs Terraform Data Pipelines Databricks

Job description

As a Data Engineer on the Databricks platform at Booz Allen, you’ll support mission-critical data initiatives for defense, intelligence, and civil clients. You’ll help design, build, and maintain scalable data pipelines in modern cloud environments, enabling analytics, AI, ML, and decision advantage at scale.

Requirements

  • 2+ years of experience with Databricks platform including compute and resource management and data engineering capabilities
  • 2+ years of experience with Python, Pyspark, and SQL programming language
  • Experience creating and enforcing cluster usage and policies
  • Experience managing cluster-scoped or global init scripts and handling library dependencies such as PyPI, Maven, or CRAN
  • Experience with tiered name spacing such as catalog, schema, table, and configuring Role-Based Access Control (RBAC) for users and Service Principals
  • Knowledge of identity management including managing users and groups on Databricks or a cloud-native data environment
  • Ability to implement and enforce workspace policies and organizational standards
  • Ability to respond to support requests such as login issues and user inquiries in a timely manner
  • Secret clearance
  • HS diploma or GED

Nice If You Have:

  • Experience with Infrastructure as Code (IaC) platform such as Terraform to automate provisioning and configuration of workspaces
  • Experience using Databricks CLI and REST APIs for bulk operations
  • Experience in regulated environments such as DoW or Intelligence Community
  • Experience implementing data engineering concepts such as developing ETL, medallion architecture, and pipelines
  • Experience tuning clusters and optimizing Spark SQL logic to improve performance and cost
  • Knowledge of Zero Trust Architecture (ZTA) principles
  • Knowledge of Spark execution
  • Databricks Certified Platform Administrator or Certified Data Engineer Certification

Benefits & conditions

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

About the company

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

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