Data Engineering, Lead
USA, GA, Atlanta (1349 W Peachtree St NW)
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Booz Allen Hamilton
We transform missions with tomorrowâs technologies to advance the countryâs most critical civil, defense, and national security priorities.The Opportunity:Â
Ever-expanding technology like IoT, machine learning, and artificial intelligence means that thereâs 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 itâs 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 missionsâfrom fraud detection to cancer research to national intelligence. Â Â
As a lead big data engineer at Booz Allen, youâll use your expertise to lead data engineering activities on some of the most mission-driven projects in the industry. Youâll oversee the development and deployment of pipelines and platforms that organize and make disparate data meaningful. Â
Here, youâll guide and mentor a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. Youâll use your expertise in analytical exploration and data examination while you oversee the assessment, design, building, and maintenance of scalable platforms for your clients. Â
Work with us to use big data for good.Â
Join us. The world can't wait.
You Have:âŻâŻÂ
7+ years of experience with application or software development Â
7+ years of experience designing, developing, operationalizing and maintaining complex data applications
5+ years of experience creating software for retrieving, parsing and processing dataÂ
Experience developing scripts and programs for converting various types of data into usable formats and supporting project team to scale, monitor and operate data platformsÂ
Experience supervising others and leading projects and deliverables within a collaborative, cross-functional team environmentÂ
Bachelorâs degree Â
Nice If You Have:âŻâŻÂ
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 CloudÂ
Experience with Distributed data and computing tools including Spark, Databricks, Hadoop, Hive, AWS EMR, or KafkaÂ
Experience with Agile engineering practicesâŻÂ
Masterâs degree in Mathematics, Computer Science, Statistics, or Operations Research
Create Your Career:Â
Grow With UsÂ
Your growth matters to usâthatâs 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. Â
A Place Where You BelongÂ
Diverse perspectives cultivate collective ingenuity. Booz Allenâs 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, youâll develop your community in no time.Â
Support Your Well-BeingÂ
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, weâll support you as you pursue a balanced, fulfilling lifeâat work and at home. Â
Your Candidate JourneyÂ
At Booz Allen, we know our people are what propel us forward, and we value relationships most of all. Here, weâve compiled a list of resources so youâll know what to expect as we forge a connection with you during your journey as a candidate with us. Â
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 Allenâs 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 individualâs 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 Allenâs 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, youâll periodically work from a Booz Allen or client site facility.
- If this position is listed as onsite, youâll work with colleagues and clients in person, as needed for the specific role.
EEO Commitment
Weâre an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change â 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 / stock options Flex hours Health care Medical leave Parental leave Team events Wellness
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