Booz Allen Hamilton
Data Engineer Streaming Specialist
Booz Allen Hamilton, Alexandria, Virginia, us, 22350
Your growth matters to us - explore our career development opportunities.A PLACE WHERE YOU BELONG
Bring your whole self to work in our culture of respect and inclusivity.SUPPORT YOUR WELLBEING
Learn how we’ll support you as you pursue a balanced, fulfilling life.YOUR CANDIDATE JOURNEY
Discover what to expect during your journey as a candidate with us.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 and experience to 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 big data for good.Join us. The world can’t wait.You Have:2+ years of experience with using programming languages, including C++, Java, or Python
2+ years of experience with messaging protocols, including RTMP, MQTT, and AMQP
Experience with designing and developing highly scalable and fault-tolerant streaming data pipelines and applications
Experience with collecting, transforming, and storing streams of data from various sources, including databases, sensors, mobile devices, and web apps
Experience with building batch data pipelines to complement real-time streaming pipelines
Experience with monitoring and optimizing data streaming applications for performance, stability, and security continuously
Experience with implementing processes for failure recovery, high availability, and disaster recovery of streaming applications
Experience in working closely with software engineers, data scientists, and business teams to comprehend streaming data needs and requirements
TS/SCI clearance
HS diploma or GED
Nice If You Have:2+ years of experience with Enterprise or Cloud IT
Experience with AWS services, including Amazon Aurora or PostgreSQL, Amazon RedShift, AWS Lambda, Amazon Simple Storage Service (Amazon S3), Amazon Kinesis, and Amazon Simple Queue Service (Amazon SQS)
Experience in building and deploying capabilities as Infrastructure as Code (IaC) with AWS CDK, and AWS CloudFormation
Experience with using continuous integration and continuous delivery (CI/CD) workflows low to high across commercial and non-commercial AWS environments
Knowledge of architectural implications of meeting industry standards, including ICD 503, NIST 800-53, and FEDRAMP
Ability to lead effectively across organizations
Possession of excellent verbal and written communications skills
TS/SCI clearance with a polygraph
AWS Certifications, including AWS Certified Solutions Architect - Associate or Professional, AWS Certified Data Analytics - Specialty, and AWS Certified Database
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.CompensationAt 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.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 $60,400.00 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 ModelOur 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 CommitmentWe’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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Bring your whole self to work in our culture of respect and inclusivity.SUPPORT YOUR WELLBEING
Learn how we’ll support you as you pursue a balanced, fulfilling life.YOUR CANDIDATE JOURNEY
Discover what to expect during your journey as a candidate with us.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 and experience to 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 big data for good.Join us. The world can’t wait.You Have:2+ years of experience with using programming languages, including C++, Java, or Python
2+ years of experience with messaging protocols, including RTMP, MQTT, and AMQP
Experience with designing and developing highly scalable and fault-tolerant streaming data pipelines and applications
Experience with collecting, transforming, and storing streams of data from various sources, including databases, sensors, mobile devices, and web apps
Experience with building batch data pipelines to complement real-time streaming pipelines
Experience with monitoring and optimizing data streaming applications for performance, stability, and security continuously
Experience with implementing processes for failure recovery, high availability, and disaster recovery of streaming applications
Experience in working closely with software engineers, data scientists, and business teams to comprehend streaming data needs and requirements
TS/SCI clearance
HS diploma or GED
Nice If You Have:2+ years of experience with Enterprise or Cloud IT
Experience with AWS services, including Amazon Aurora or PostgreSQL, Amazon RedShift, AWS Lambda, Amazon Simple Storage Service (Amazon S3), Amazon Kinesis, and Amazon Simple Queue Service (Amazon SQS)
Experience in building and deploying capabilities as Infrastructure as Code (IaC) with AWS CDK, and AWS CloudFormation
Experience with using continuous integration and continuous delivery (CI/CD) workflows low to high across commercial and non-commercial AWS environments
Knowledge of architectural implications of meeting industry standards, including ICD 503, NIST 800-53, and FEDRAMP
Ability to lead effectively across organizations
Possession of excellent verbal and written communications skills
TS/SCI clearance with a polygraph
AWS Certifications, including AWS Certified Solutions Architect - Associate or Professional, AWS Certified Data Analytics - Specialty, and AWS Certified Database
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.CompensationAt 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.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 $60,400.00 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 ModelOur 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 CommitmentWe’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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