The Challenge

Our data engineers design, build and optimize the data architectures that drive critical mission operations and address some of the most complex problems facing our country and the world today. As a data engineer at Booz Allen, you will develop scalable, event-driven and distributed data architectures to enable process automation, analytics, machine learning, IoT, and beyond. Our data engineers orchestrate ETL pipelines, deep dive on coding and scripting languages, and deploy Big data, Pub/sub, and streaming platforms to cloud, on-premise, and hybrid infrastructures. As a member of our data engineering team, you will grow your ability to analyze and specify data models, manipulate all manner of data feeds and formats, and operate secure, reliable, and performant data pipelines. Come join our multi-disciplinary team of analysts, data engineers, data scientists, and developers in an agile, fast-paced environment that is pushing the envelope of modern data platform solutions. This position is open to remote delivery anywhere within the U.S., to include the District of Columbia.

You Have:

• 3+ years of experience with building or maintaining software systems, including software engineering, data architecture or data pipeline development, or data infrastructure management

• 1+ years of experience in performing data integration, building data pipelines, or working with data manipulation tools

• Experience with relational databases, including MySQL, PostgreSQL, Oracle, AWS RDS or Azure Database 

• Experience in an agile development environment

• Ability to obtain a security clearance

• BA or BS degree

Nice If You Have:

• 2+ years of experience with coding in an object-oriented programming language or general scripting language, including Java, C#, Python, Scala, Ruby, or Bash

• Experience with software design patterns and data management principles

• Experience in working with standard data formats, including JSON, XML, Avro, Parquet, or CSV

• Experience with NoSQL tools, including Hadoop or Accumulo

• Experience with cloud object storage, including AWS S3 or Azure Blob

• Experience with cloud services, including AWS Redshift, Azure SQL Data Warehouse, or Snowflake

• Experience with data pipeline or ETL technologies including Apache NiFi, StreamSets or AWS Glue

• Experience with Agile software development

• Knowledge of application deployment frameworks, including Spring, Docker or Kubernetes

• Knowledge of distributed data processing technologies, including Apache Kafka, Spark, or Databricks

• Knowledge of data warehouse querying solutions, including Apache Hive or Amazon Athena

• Knowledge of data security, access control, and data protection techniques

• Possession of excellent verbal and written communication skills

Clearance

Applicants will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

Compensation:

The proposed salary range for this position in Colorado is 100,000 to 140,000. Final salary will be determined based on various factors.

At Booz Allen, we celebrate your contributions, provide you with opportunities and choice, and support your total well-being. Our comprehensive benefit offerings include healthcare, retirement plan, insurance programs, commuter program, employee assistance program, paid and unpaid leave programs, education assistance, and childcare benefits.

Build Your Career:

At Booz Allen, we know the power of analytics and we’re dedicated to helping you grow as a data analysis professional. When you join Booz Allen, you’ll have the chance to:

• access online and onsite training in data analysis and presentation methodologies, and tools like Hortonworks, Docker, Tableau, and Splunk

• change the world with the Data Science Bowl—the world’s premier data science for social good competition

• participate in partnerships with data science leaders, like our partnership with NVIDIA to deliver Deep Learning Institute (DLI) training to the federal government

You’ll have access to a wealth of training resources through our Analytics University, an online learning portal specifically geared towards data science and analytics skills, where you can access more than 5000 functional and technical courses, certifications, and books. Build your technical skills through hands-on training on the latest tools and state-of-the-art tech from our in-house experts. Pursuing certifications that directly impact your role? You may be able to take advantage of our tuition assistance, on-site bootcamps, certification training, academic programs, vendor relationships, and a network of professionals who can give you helpful tips. We’ll help you develop the career you want as you chart your own course for success.

We’re an EOE that empowers our people—no matter their race, color, religion, sex, gender identity, sexual orientation, national origin, disability, veteran status, or other protected characteristic—to fearlessly drive change.