AWS Data Engineer Streaming Specialist

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 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 with a polygraph

• 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

• 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 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.

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.

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.