Booz Allen

SparkDataEngineer,Senior

$78–78k Chantilly, Virginia, United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Spark Data Engineer, Senior at Booz Allen. Skills: Spark, Data Engineering, ETL Pipelines, Big Data. Implement data engineering activities. Deploy and develop pipelines”

What You'll Achieve.

yield pivotal insights; impact important missions

Industry & Context.

Problems you'll solve

find answers in their big data; modeling complex data structures; converting various types of data into usable formats

Eligibility Requirements

TS/SCI clearance with a polygraph, identity verification process, advanced biometrics, artificial intelligence, on camera during interviews and assessments, take your picture to verify identity, prevent fraud, use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided, cameras on during meetings

What They're Looking For.

Must Have

5+ years of experience in Spark development, PySpark, Java Spark, 5+ years of experience designing, developing, operationalizing, and maintaining complex data applications at enterprise scale, 5+ years of experience with big data and building ETL pipelines to efficiently process petabyte scale data, Experience with modeling complex data structures of varied formats, Experience with distributed data and computing tools, Spark, AWS, Kafka, Ability to develop scripts and programs for converting various types of data into usable formats, TS/SCI clearance with a polygraph, Bachelor’s degree

Nice to Have

Experience with large-scale NoSQL databases, Cassandra, Experience with large-scale Postgres databases, Experience with graph databases, graph data modeling, optimizing graph traversals, Experience with containerization technology, Docker, Kubernetes, Experience with Agile engineering practices

What You'll Do.

Implement data engineering activities

Deploy and develop pipelines

Organize and make data meaningful

maintenance of platforms

Develop scripts and programs

Support project team to scale

Monitor data platforms

Operate data platforms

How You'll Work.

Team & Collaboration

guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers; Work with us to use big data for good; Experience creating solutions within a collaborative, cross-functional team environment; support project team to scale, monitor and operate data platforms

Full Job Description

Spark Data Engineer, Senior **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 an experienced data engineer 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 implement data engineering activities on some of the most mission-driven projects in the industry. You’ll deploy and develop pipelines and platforms that organize and make disparate data meaningful. Here, you’ll work with and guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You’ll use your experience in analytical exploration and data examination while you manage 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:** * 5+ years of experience in Spark development, including PySpark or Java Spark * 5+ years of experience designing, developing, operationalizing, and maintaining complex data applications at enterprise scale * 5+ years of experience with big data and building ETL pipelines to efficiently process petabyte scale data * Experience with modeling complex data structures of varied formats * Experience with distributed data and computing tools, including Spark, AWS, or Kafka * Experience creating solutions within a collaborative, cross-functional team environment * Ability to develop scripts and programs for converting various types of data into usable formats and support project team to scale, monitor and operate data platforms * TS/SCI clearance with a polygraph * Bachelor’s degree **Nice If Y

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