1 month ago
Norfolk, VA, USA or Arlington, VA, USAMid Level
H1B sponsor

Base Salary

$62k - $141k/yr

Responsibilities

  • Develop and deploy data pipelines and platforms that organize disparate data.
  • Assess, design, develop, and maintain scalable data platforms.
  • Develop and maintain scalable data stores that provide big data for business analysis.
  • Create scalable ETL/ELT workflows for reporting and analytics.
  • Write scripts and programs to convert varied data types into usable formats.
  • Scale, monitor, and operate data platforms.
  • Create software for retrieving, parsing, and processing structured and unstructured data.
  • Develop and deploy large-scale batch and stream analytics pipelines.
  • Collaborate with analysts, data engineers, developers, data consumers, infrastructure engineers, data scientists, software engineers, customer success managers, and clients.
  • Develop and present complex technical information to technical and non-technical audiences and senior leaders.

Requirements

  • At least 2 years of experience in data engineering, data science, or pipeline development.
  • Experience using programming languages including Python.
  • Experience developing and maintaining scalable data stores for business analysis.
  • Experience developing scalable data pipelines or ETL/ELT workflows for reporting and analytics.
  • Experience creating solutions in collaborative, cross-functional teams.
  • Ability to develop data-conversion scripts and programs and support the operation and scaling of data platforms.
  • Secret clearance and eligibility for access to classified information.
  • Bachelor’s degree.
  • Preferred: experience with AWS EMR, Redshift, SageMaker, Databricks, or machine learning services.
  • Preferred: experience with distributed or parallel programming frameworks such as Apache Spark or NVIDIA CUDA.
  • Preferred: experience with infrastructure-as-code frameworks and services such as Terraform or CloudFormation.
  • Preferred: experience presenting complex technical information to technical and non-technical audiences and senior leaders.
  • Preferred: master’s degree in a listed technical field, cloud development certification such as AWS Solutions Architect or an Azure Certification, or information-security certification such as Security+ or CISSP.

Benefits

  • Health, life, disability, financial, and retirement benefits.
  • Paid leave, professional development, tuition assistance, work-life programs, and dependent care.
  • Recognition awards for exceptional performance and demonstration of company values.
  • Regular full-time and part-time employees working at least 20 hours per week are eligible for the company’s benefit programs; employees below that threshold receive select offerings.
  • Virtual employees may occasionally be required to work at a Booz Allen or customer facility; hybrid employees work at a Booz Allen or customer facility according to leadership and role needs; onsite employees primarily work full-time at a customer facility.

Tech Stack

Amazon RedshiftApache SparkAWSAzureDatabricksPythonTerraform

Categories

Data Engineering
Booz Allen Hamilton

About Booz Allen Hamilton

10,000+ employees

Booz Allen Hamilton builds and integrates software, analytics, AI, cloud, and cybersecurity solutions while providing engineering and consulting services, primarily for U.S. defense, intelligence, and civil government clients, with select commercial partnerships. Its business is largely government contracting and professional services delivering mission systems and cyber defense. Founded in 1914 and headquartered in McLean, Virginia, Booz Allen is a public company traded on the NYSE (ticker: BAH).

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