Data Engineer

USA, FL, Tampa (7115 S Boundary Blvd), United States

Full Time Clearance required USD 77K - 176K

Booz Allen Hamilton

We transform missions with tomorrow’s technologies to advance the country’s most critical civil, defense, and national security priorities.

View all jobs at Booz Allen Hamilton

Apply now Apply later

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 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 data to impact important missions—from fraud detection to cancer research to national intelligence.  

As a data engineer at Booz Allen, you will assist in the development and documentation of detailed data requirements for application systems in a logical data model.  You will develop the analysis, creation, acquisition, maintenance, and use characteristics of the data identified. You'll build dashboards, reports, and interactive data visualizations to monitor performance, including budgets, expenditures, and forecasts. You'll ensure compliance with data management policies, guidance, and standards. You will evaluate data reuse, data integration, and data compliance and develop strategies based on stewardship and authorities. You'll develop physical schemas that address functional and technical requirements for the database including data sharing as appropriate. You'll develop, construct, test, and maintain data architectures and develop information displays, decision briefings, analytical papers, and facilitate senior leader discussions.

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 data for good.

Join us. The world can’t wait. 

You Have:   

  • 10+ years of distributed experience with Operations Research and System Analysis (ORSA), Data Science, or Data Engineering

  • 5+ years of experience in Data Engineering

  • Experience in developing analytic methodologies, metrics, and decision criteria

  • Experience with data warehousing, data ingestion, and data profiling

  • Experience with data processing tools, in particular SQL and pandas

  • Experience in development within Python or object-oriented languages

  • Experience with read, extract, transform, stage, and load data to create data pipelines

  • Ability to explore new tools and technologies that will help to improve ETL platform performance

  • TS/SCI clearance

  • Master's degree in Data Science, Data Engineering, or Applied Mathematics

Nice If You Have:   

  • Experience with Joint planning and military service

  • Experience with forecasting models

  • Experience with cloud environments, such as Azure and AWS

  • Experience working with Power BI, Power Query, Advana, Qlik, VBA, Excel, or Defense Enterprise Accounting and Management System (DEAMS)

  • Experience in Advana or Maven platforms

  • Experience in developing and deploying data unit testing/data quality assessment tools 

  • Experience with preparing and presenting senior leadership briefings and papers

  • Possession of excellent oral and written communication skills

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.

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 $77,500.00 to $176,000.00 (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.

Identity Statement

As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

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.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

Apply now Apply later
Job stats:  0  0  0
Category: Engineering Jobs

Tags: Agile Architecture AWS Azure Data management Data pipelines Data quality Data Warehousing Engineering ETL Excel Machine Learning Mathematics Maven Pandas Pipelines Power BI Python Qlik Research Security SQL Testing Unstructured data

Perks/benefits: Career development Health care

Region: North America
Country: United States

More jobs like this