Booz Allen
DataEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Data Engineer at Booz Allen. Skills: Python, SQL, ETL/ELT, Data Engineering, Cloud Platforms (AWS, Azure, GCP), Distributed Data Processing (Spark, Hadoop). Organizing data from disparate sources. Building advanced technology solutions”
What You'll Achieve.
Yield pivotal insights from organized data; Impact important missions
Industry & Context.
Finding answers in data; Analytical exploration; Data examination
Secret clearance, Identity verification process using advanced biometrics and artificial intelligence, Expected to be on camera during interviews and assessments, Prohibition of AI or other tools to assist with responses during interviews unless explicitly provided, Employees working virtually are generally expected to have their cameras on during meetings
What They're Looking For.
Must Have
7+ years of experience with software engineering in Python and SQL, 5+ years of experience creating software for retrieving, parsing, and processing structured and unstructured data, 5+ years of experience developing scalable ETL or ELT workflows for reporting and analytics, Experience designing, developing, operationalizing, and maintaining complex data science applications at enterprise scale, Experience developing scripts and programs for converting various types of data into usable formats and supporting project team to scale, monitor, and operate data platforms, Experience supervising others and leading projects and deliverables within a collaborative, cross-functional team environment, Secret clearance, Bachelor's degree
Nice to Have
10+ years of experience using Python, SQL, Scala, R, Haskell, Rust, C++, C, C#, Julia, Go, or Java, 5+ years of experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud, 5+ years of experience with Distributed data or computing tools, including Spark, Databricks, Hadoop, Hive, HBase, Accumulo, AWS EMR, Nifi, Luigi, Dask, or Kafka, 5+ years of experience working on real-time data and streaming applications, 5+ years of experience with NoSQL databases such as Elasticsearch, Solr, MongoDB, or Cassandra, 5+ years of experience with data warehousing and databases such as AWS Redshift, PostgreSQL, MySQL, Oracle, or Snowflake, 5+ years of experience with UNIX or Linux, including basic commands and Shell scripting
What You'll Do.
Organizing data from disparate sources
Building advanced technology solutions
Leading data engineering activities
Overseeing the development and deployment of pipelines and platforms
Organizing and making disparate data meaningful
Guiding data engineering activities
Overseeing the assessment
and maintenance of scalable platforms
How You'll Work.
Team & Collaboration
Mentoring a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment; Leading projects and deliverables within a collaborative, cross-functional team environment
Process & Methodology
Leading projects and deliverables
Full Job Description
Data Engineer **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 an experienced 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 expertise to help build advanced technology solutions and lead data engineering activities on some of the most mission-driven projects in the industry. You’ll guide data engineering activities by overseeing the development and deployment of pipelines and platforms that organize and make disparate data meaningful. Here, you’ll mentor a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You’ll use your expertise in analytical exploration and data examination while you oversee the assessment, design, building, 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:** * 7+ years of experience with software engineering in Python and SQL * 5+ years of experience creating software for retrieving, parsing, and processing structured and unstructured data * 5+ years of experience developing scalable ETL or ELT workflows for reporting and analytics * Experience designing, developing, operationalizing, and maintaining complex data science applications at enterprise scale * Experience developing scripts and programs for converting various types of data into usable formats and supporting project team to scale, monitor, and operate data platforms * Experience supervising others and leading projects and deliverables within a collaborative, cross-functional team environment * Sec
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