Big Data Engineer, Lead
The Challenge:
Are you looking for an opportunity to make a difference in Data Engineering? What if you could find a position that is tailor made for your mix of architecture, innovation, engineering, and communication skills? Many organizations struggle dealing with their big data and analytic challenges, leading to astronomical costs, operational inefficiencies, and insecure platforms. That’s why we need you, an experienced Data Engineering leader, to help us shorten the time it takes to get critical solutions designed and develop, and and into the hands of clients who are focused on delivering business value in the most efficient ways possible.
As a Data Engineering Lead on our team, you’ll use your software development, cloud architecture, and analytics to design and implement efficient data platform solutions, including developing from the ground up, migrating existing on prem environments into the cloud, and optimizing and driving efficiency from complex hybrid environments. You’ll lead efforts and teams to design and build these platforms to improve visibility and insights into an organizations tools and data to effectively secure the enterprise. You will be responsible for effectively communicating the value of operational big data environments, all while working with exciting analytics and protecting the environments of some of the biggest companies in the world.
You’ll work closely with other Capability and Market leaders design solutions that derive value across multiple domain areas for our clients. As a technical leader, you’ll identify new opportunities to build solutions to help our customers meet their toughest challenges. Join our team as we build solutions to transform the future of data engineering for our clients. This position is open to remote delivery anywhere within the U.S., to include the District of Columbia.
You Have:
-7+ years of experience with big data application design and deployments
-5+ years of experience designing solutions in AWS, Azure, or Google Cloud Platform
-5+ years of experience programming in Java, Python, or C#
-Experience with design and implementation of complex systems involving data storage, movement, and data science
-Experience with distributed message queues, including Kafka
-Experience with designing loosely coupled architectures
-Ability to travel up to 10% of the time
-HS diploma or GED
Nice If You Have:
-Experience conducting interviews and identifying strong candidates
-Experience optimizing data pipelines to reduce costs, data volumes, or reduce query times
-Ability to write and maintain serverless code, including Azure functions and AWS Lambda
-Ability to collaborate with others effectively and lead teams
-Ability to cross collaborate with other market and sales teams to capture new work
-Ability to learn new concepts and technologies quickly
Build Your Career:
A challenging and dynamic work environment isn’t all we have to offer. When you join Booz Allen, you’ll have access to:
experts in virtually every field
a culture that focuses on supporting our employees
opportunities that provide stability while offering variety
You’ll also be exposed to a wealth of training resources through our Digital University, an online learning portal featuring more than 5000 functional and technical courses, certifications, and books. Build your technical skills through hands-on training on the latest tools and 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 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.