Data Engineering, Lead

USA, GA, Atlanta (1349 W Peachtree St NW)

Applications have closed

Booz Allen Hamilton

Using tomorrow’s technologies, Booz Allen advances the nation’s most critical civil, defense, and national security missions.

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Data Engineering, Lead

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 big data experienced 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 lead big data engineer at Booz Allen, you’ll use your expertise to lead data engineering activities on some of the most mission-driven projects in the industry. You’ll oversee the development and deployment of pipelines and platforms that organize and make disparate data meaningful.  

Here, you’ll guide and 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 big data for good. 

Join us. The world can't wait.

You Have:   

  • 7+ years of experience with application or software development  

  • 7+ years of experience designing, developing, operationalizing and maintaining complex data applications

  • 5+ years of experience creating software for retrieving, parsing and processing data 

  • 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 

  • Bachelor’s degree  

Nice If You Have:   

  • Experience with database administration or data analytics

  • Experience with Python, R, or Scala

  • Experience with data visualization or dashboard tools, including Tableau and RShiny, and presenting data through reports

  • Experience with data lakes and unstructured data

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

  • Experience with Distributed data and computing tools including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka 

  • Experience with Agile engineering practices  

  • Master’s degree in Mathematics, Computer Science, Statistics, or Operations Research

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 list of resources so you’ll know what to expect as we forge a connection with you during your journey as a candidate with us.  

Compensation

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 $96,600.00 to $220,000.00 (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.

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.

EEO Commitment

We’re an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change – no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.

Tags: Agile AWS Azure Big Data Computer Science Data Analytics Databricks Data visualization Engineering GCP Google Cloud Hadoop Kafka Machine Learning Mathematics Pipelines Python R Research Scala Spark Statistics Tableau Unstructured data

Perks/benefits: 401(k) matching Career development Equity Flex hours Flex vacation Health care Medical leave Parental leave Team events Wellness

Region: North America
Country: United States
Job stats:  4  0  0

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