Data Engineer

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 engineer 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 help build advanced technology solutions and 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.

• 5+ years of experience creating software for retrieving, parsing, and processing structured and unstructured data
• 3+ years of experience with Python, SQL, Scala, or Java
• 3+ years of experience building scalable ETL/ELT workflows for reporting and analytics
• Experience creating solutions within a collaborative and cross-functional team environment
• Experience using version control tools such as GitLab, GitHub, or Bitbucket
• 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
• HS diploma or GED
• Ability to obtain a Security+ Certification within 30 days of start date

Nice If You Have:

• Experience with UNIX or Linux, including basic commands and Shell scripting
• Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud
• Experience with distributed data or computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka
• Experience working on real-time data and streaming applications
• Experience with NoSQL implementation, including MongoDB or Cassandra
• Experience with Databricks
• Experience with data warehousing using AWS Redshift, MySQL, or Snowflake
• Experience with Agile engineering practices
• Bachelor's degree in a Data or IT-related field
• Security+ Certification

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.

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 $77,600.00 to $176,000.00 (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.

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.