Data Engineer

Booz Allen Hamilton

Alexandria (VA)

Vor Ort

USD 62.000 - 141.000

Vollzeit

vor 6 Stunden
Sei unter den ersten Bewerbenden

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Zusammenfassung

Booz Allen Hamilton is seeking a Data Engineer to help build pipelines that organize disparate data for mission-driven projects, from fraud detection to cancer research.

You’ll work with a multi-disciplinary team in a fast-paced, agile environment to design, develop, and maintain scalable data platforms.

Requirements include 2+ years in programming (C++, Java, Python), building scalable data stores and ETL/ELT workflows, a Bachelor’s degree, and a Secret clearance.

Qualifikationen

  • 2+ years of experience with programming languages (C++, Java, or Python).
  • 2+ years of experience building scalable data stores for big data.
  • Experience retrieving, parsing, and processing structured and unstructured data.
  • Experience developing scalable ETL/ELT workflows for reporting and analytics.
  • Ability to work in a collaborative, cross-functional team.
  • Ability to develop scripts/programs to convert data into usable formats and support scaling.
  • Secret clearance.
  • Bachelor's degree.

Aufgaben

  • Help build pipelines and platforms that organize data.
  • Develop and deploy data pipelines to make disparate data meaningful.
  • Collaborate with analysts, data engineers, developers, and data consumers in an agile environment.
  • Support assessment, design, development, and maintenance of scalable data platforms.

Kenntnisse

C++
Java
Python
Data stores
Data processing
ETL/ELT
Team collaboration
Scripting
Security clearance

Ausbildung

Bachelor's degree

Tools

Spark
Databricks
Hadoop
Hive
Kafka
AWS
Azure
GCP
MongoDB
Cassandra
Redshift
Snowflake

Jobbeschreibung

The Opportunity:

Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever before. As a data engineer, you know that organizing data can yield pivotal insights when it's gathered from disparate sources. We need a data professional like you to help our clients find answers in their data to impact important missions, from fraud detection to cancer research to national intelligence.

Job Number: R0248893

Data Engineer

The Opportunity:

Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever before. As a data engineer, you know that organizing data can yield pivotal insights when it's gathered from disparate sources. We need a data professional like you to help our clients find answers in their data to impact important missions, from fraud detection to cancer research to national intelligence.

As a data engineer at Booz Allen, you'll use your skills and experience to help build advanced technology solutions and implement data engineering activities on some of the most mission-driven projects in the industry. You'll develop and deploy the pipelines and platforms that organize and make disparate data meaningful.

Here, you'll work with a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You'll sharpen your skills in analytical exploration and data examination while you support the assessment, design, developing, and maintenance of scalable platforms for your clients.

Work with us to use data for good.

Join us. The world can't wait.

You Have:
  • 2+ years of experience utilizing programming languages, including C++, Java, or Python
  • 2+ years of experience developing and maintaining scalable data stores that supply big data in forms needed for business analysis
  • Experience creating software for retrieving, parsing and processing structured and unstructured data
  • Experience with developing scalable ETL and ELT workflows for reporting and analytics
  • Experience creating solutions within a collaborative, cross-functional team environment
  • Ability to develop scripts and programs for converting various types of data into usable formats and support project team to scale, monitor and operate data platforms
  • Secret clearance
  • Bachelor's degree
Nice If You Have:
  • Experience in application development utilizing SQL or Scala
  • Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud
  • Experience with distributed data and computing tools, such as Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka
  • Experience working on real-time data and streaming applications
  • Experience with NoSQL implementation using MongoDB or Cassandra
  • Experience with data warehousing, including AWS Redshift, MySQL, or Snowflake
  • Experience with UNIX and Linux, including basic commands and Shell scripting
  • Experience with Agile engineering practices
  • TS/SCI clearance with a polygraph
Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.

Compensation

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 $62,000.00 to $141,000.00 (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.

Candidate AI Usage Policy

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.
Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

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