Mission-Driven Data Engineer — Remote | TS/SCI

Booz Allen Hamilton; North Dakota; On-site; USD 78,000 - 176,000; Full time

Benefits offered by this job

Health

Life Insurance

Disability

Financial

Retirement

Paid leave

Professional development

Tuition assistance

Work-life programs

Dependent care

Recognition awards

Job summary

Booz Allen Hamilton is seeking a Data Engineer to design, build, and maintain scalable data pipelines and platforms. You will organize structured and unstructured data to yield actionable insights for mission-critical projects, from fraud detection to national intelligence, in a fast-paced, agile setting.

You will work with analysts, data engineers, developers, and data consumers to implement data engineering activities and guide complex data initiatives across multiple sources and environments.

Qualifications

• 3+ years creating software for retrieving, parsing, and processing structured and unstructured data.
• 3+ years with Python, SQL, Scala, or Java.
• 3+ years building scalable ETL/ELT workflows for reporting and analytics.
• Experience in a collaborative cross-functional team environment.
• Experience using GitLab, GitHub, or Bitbucket.
• TS/SCI clearance.
• HS diploma or GED.
• Ability to obtain Security+ Certification within 30 days of start date.
• Bachelor's degree in a Data or IT related field.
• Security+ Certification is a plus.

Responsibilities

• Build data pipelines and platforms that organize disparate data for meaningful insights.
• Guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers.
• Deploy and develop scalable pipelines for clients in fast-paced, agile environments.
• Collaborate across teams to scale, monitor, and operate data platforms.

Skills

Software for data retrieval/parsing

Python

SQL

Scala

Java

ETL/ELT pipelines

Version control tools

TS/SCI clearance

HS diploma / GED

Education

Bachelor's degree in Data or IT

Security+ Certification

Tools

GitLab

GitHub

Bitbucket

Job description

Booz Allen Hamilton is seeking a Data Engineer to design, build, and maintain scalable data pipelines and platforms. You will organize structured and unstructured data to yield actionable insights for mission-critical projects, from fraud detection to national intelligence, in a fast-paced, agile setting.

You will work with analysts, data engineers, developers, and data consumers to implement data engineering activities and guide complex data initiatives across multiple sources and environments.