Booz Allen Hamilton
Full Stack Big Data Software Engineer
Booz Allen Hamilton, Mc Lean, Virginia, us, 22107
Job Number: R0200990
Full Stack Big Data Software Engineer
The Opportunity: As a full stack developer, you can resolve a problem with a complete end-to-end solution in a fast, agile environment. If you're looking for the chance to not just develop
sof tware, but to create a system that will make a difference, we need you on our team. We're looking for an experienced developer like you with the skills needed to develop
sof tware and systems from vision to
production-ready. This role is more than just coding. As a full stack big data software engineer at Booz Allen, you'll use your passion to master new tools and te chn iques and identify needed system improvements. You'll help clients overcome their most difficult challenges using the latest architectural approaches, tools, and te chn ologies. You'll make sure the solution developed by the team considers the architecture and operating environment, as well as future functionality and enhancements. Work with us as we shape systems for the better. Join us. The world can't wait. You Have: Experience using Linux CLI
Experience with Bash or Python scripting
Experience developing Java applications in a Linux environment
Experience demonstrating Big Data processing
Experience with Web development, HTTP, and REST services
Experience managing and testing new models for data processing and data flow patterns
Knowledge of containerization te chn ologies, including Docker
Knowledge of distributed compute te chn ologies such as Spark or Hadoop
TS/SCI clearance with a polygraph
Bachelor's degree
Nice If You Have: Experience with NoSQL te chn ologies, including Elasticsearch and Accumulo
Experience with signal processing
Experience with data flow management and orchestration tools such as NiFi or Airflow
Experience with machine learning packages and pipelines
Experience with CI / CD principles, concepts, best practices, and tools, including Je nk ins andGitLab CI
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 with polygraph 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 $67,700.00 to $154,000.00 (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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Full Stack Big Data Software Engineer
The Opportunity: As a full stack developer, you can resolve a problem with a complete end-to-end solution in a fast, agile environment. If you're looking for the chance to not just develop
sof tware, but to create a system that will make a difference, we need you on our team. We're looking for an experienced developer like you with the skills needed to develop
sof tware and systems from vision to
production-ready. This role is more than just coding. As a full stack big data software engineer at Booz Allen, you'll use your passion to master new tools and te chn iques and identify needed system improvements. You'll help clients overcome their most difficult challenges using the latest architectural approaches, tools, and te chn ologies. You'll make sure the solution developed by the team considers the architecture and operating environment, as well as future functionality and enhancements. Work with us as we shape systems for the better. Join us. The world can't wait. You Have: Experience using Linux CLI
Experience with Bash or Python scripting
Experience developing Java applications in a Linux environment
Experience demonstrating Big Data processing
Experience with Web development, HTTP, and REST services
Experience managing and testing new models for data processing and data flow patterns
Knowledge of containerization te chn ologies, including Docker
Knowledge of distributed compute te chn ologies such as Spark or Hadoop
TS/SCI clearance with a polygraph
Bachelor's degree
Nice If You Have: Experience with NoSQL te chn ologies, including Elasticsearch and Accumulo
Experience with signal processing
Experience with data flow management and orchestration tools such as NiFi or Airflow
Experience with machine learning packages and pipelines
Experience with CI / CD principles, concepts, best practices, and tools, including Je nk ins andGitLab CI
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 with polygraph 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 $67,700.00 to $154,000.00 (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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