Data Engineer
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 an experienced data engineer 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 perform data architecture planning and implementation, including database development, extract-transform-load processes and data management operations, and maintenance activities.
You'll implement scalable and sustainable data engineering solutions using tools, including Databricks and Trifacta. Design database structures and author SQL queries to perform ETL operations.
You'll develop data pipelines using big data services available in the Cloud, architect data repositories, stand up data platforms, and write custom code for data ingestion, transformation, and aggregation.
You'll work with other members of the project team to support delivery of additional project components. You'll build and operationalize complex and innovative data solutions, correct problems, apply transformations, and recommend data cleansing and quality validation solutions.
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.
Work with us to use big data for good.
Join us. The world can’t wait.
You Have :
2+ years of experience as a data engineer, data architect, or software engineer
2+ years of experience with database design
2+ years of experience with database implementation
Experience developing with APIs
Experience in SQL, data analysis, and data validation
Experience in writing code, including with Python or Java
Secret clearance
Bachelor’s degree
Nice If You Have :
3+ years of experience with developing architecture, policies, extract-transform-load data pipelines, and data models
3+ years of experience with data wrangling
Experience in using database software, including Databricks or Snowflake
Experience in using and developing with Microsoft 365 data centric products, including Dataverse or Power BI
Experience with Qlik
Knowledge of data lake design
Ability to communicate with multiple functional groups
Possession of excellent verbal and written communication skills
TS / SCI clearance
Clearance :
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information;
Secret clearance is required.
Create Your Career : Grow With Us
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 , 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. 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 build your community in no time.
Support Your Well-Being
Our 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. 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 $75,600.00 to $172,000.00 (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.