Data Engineer
USA, NE, Offutt AFB (201 Lincoln Hwy), United States
Full Time Mid-level / Intermediate Clearance required USD 61K - 141K
Booz Allen Hamilton
We transform missions with tomorrow’s technologies to advance the country’s most critical civil, defense, and national security priorities.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 with programming languages such as Python, SQL, Scala, or Java
- 2+ years of experience with Unix and Linux, including basic commands and Shell scripting
- 2+ years of experience with Elasticsearch, Logstash, and Kibana
- 2+ years of experience developing data pipelines, data modeling, schema configuration, data quality, standardization techniques, data integration, and data management
- 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 or demonstrate with multiple functional groups such as non-technical stakeholders
- Ability to display initiative and solve problems with little guidance, be collaborative and resourceful, and achieve results in a matrixed environment
- Active TS/SCI clearance; willingness to take a polygraph exam
- Bachelor’s degree
Nice If You Have:
- Experience working in Agile and DevSecOps teams and environments, including Atlassian tools
- Experience implementing rapid response query solutions on Big Data platforms leveraging Solr, Elasticsearch, or scalable query engine implementations
- Experience implementing batch and real-time big data integration frameworks and applications in private or public cloud such as AWS or Azure, using various technologies such as Hadoop, Spark, or Impala, including 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
- Possession of excellent analytical, problem-solving, and verbal and written communication skills
- TS/SCI clearance with a polygraph
- Master's degree
- Amazon Certified Solutions Architect and Associate Certification
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 $61,900.00 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 application process, 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.
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.
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.
Tags: Agile Architecture AWS Azure Big Data Data management Data pipelines Data quality Elasticsearch Engineering Hadoop Java Kibana Linux Logstash Machine Learning Pipelines Python Research Scala Security Shell scripting Spark SQL Unstructured data
Perks/benefits: Career development Health care
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