Data Engineer

4 days ago

Hampton, United States Booz Allen Hamilton Full time
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 big 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 big data to impact important missions—from fraud detection to cancer research to national intelligence.

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

Here, you’ll learn from a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You’ll grow your skills in analytical exploration and data examination while you support the assessment, design, building, and maintenance of scalable platforms for your clients.

Work with us to use big data for good.

Join us. The world can’t wait.

You Have:

  • 2+ years of experience with data engineering and data wrangling and building highly scalable ETL or DataOps pipelines

  • 2+ years of experience in relational and dimensional modeling techniques, organizing, and structuring

  • 2+ years of experience in applying principles, best practices, and trade-offs of schema design to various types of database technologies, including relational, columnar, graph, SQL, or NoSQL

  • 2+ years of experience with implementing web services, including SOAP and RESTful APIs using microservices architectures and design patterns

  • Experience with programming languages, such as Python, SQL, Scala, Java, or UNIX and Linux shell scripting

  • Ability to develop scripts and programs for converting various types of data into usable formats

  • Ability to work in a big data environment, learn technical concepts quickly, demonstrate technical solutions, standards, and best practices, and communicate and demonstrate with multiple functional groups to include non-technical stakeholders

  • TS/SCI clearance

  • Bachelor’s degree in Data Science, Data Analytics, or Computer Science

Nice If You Have:

  • Experience working in Agile, DevSecOps teams and environments, including Atlassian tools

  • Experience with implementing rapid response query solutions on Big Data platforms leveraging Elasticsearch, or scalable query engine implementations

  • Experience in implementing batch and real-time big data integration frameworks and applications, in private or public cloud, including AWS or Azure, using various technologies, including Hadoop, Spark, Impala, debugging, identifying performance bottlenecks, and finetuning those frameworks

  • Knowledge of Zero Trust and how to design data architectures leveraging role-based data access

  • Knowledge of relational and dimensional modeling techniques

  • Ability to conduct research on emerging technologies and industry trends independently

  • Amazon Certified Solutions Architect and Associate Certification

  • Master’s degree in Data Science, Data Analytics, Computer Science or related technical fields

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI 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 $60,300.00 to $137,000.00 (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.

Work Model
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.

  • If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.
  • If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role.

EEO Commitment

We’re an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change – no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.

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