Data Engineer, Mid

Data Engineer, Mid

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 utilizing programming languages, including C++, Java, or Python 

• 2+ years of experience developing and maintaining scalable data stores that supply big data in forms needed for business analysis 

• Experience creating software for retrieving, parsing and processing structured and unstructured data 

• Experience with developing scalable ETL/ELT workflows for reporting and analytics 

• Experience creating solutions within a collaborative, cross-functional team environment 

• Experience using cloud platforms such as AWS, Microsoft Azure, or Google Cloud

• 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 

• Ability to obtain a security clearance

• Bachelor’s degree 

Nice If You Have:   

• Experience with Databricks

• Experience with Data Engineering in a Machine Learning context

• Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud 

• Experience with distributed data and computing tools, such as Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka 

• Experience working on real-time data and streaming applications  

• Experience with NoSQL implementation using MongoDB or Cassandra 

• Experience with data warehousing, including AWS Redshift, MySQL, or Snowflake 

• Experience with UNIX/Linux, including basic commands and Shell scripting 

• Experience with Agile engineering practices  

Clearance:

Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client;

Create Your Career: 

Grow With Us 

Your growth matters to us—that’s why we offer a variety of ways for you to develop your career. With professional and leadership development opportunities like upskilling programs, tuition reimbursement, mentoring, and firm-sponsored networking, you can chart a unique and fulfilling career path on your own terms.  

A Place Where You Belong 

Diverse perspectives cultivate collective ingenuity. Booz Allen’s culture of respect, equity, and opportunity means that, here, you are free to bring your whole self to work. With an array of business resource groups and other opportunities for connection, you’ll develop your community in no time. 

Support Your Well-Being 

Our comprehensive benefits package includes wellness programs with HSA contributions, paid holidays, paid parental leave, a generous 401(k) match, and more. With these benefits, plus the option for flexible schedules and remote and hybrid locations, we’ll support you as you pursue a balanced, fulfilling life—at work and at home.  

Your Candidate Journey 

At Booz Allen, we know our people are what propel us forward, and we value relationships most of all. Here, we’ve compiled a l