Data Management Engineer

USA, VA, McLean (8251 Greensboro Dr), United States

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 Management Engineer

The Opportunity:

Do you want to work at the forefront of advanced technology and solve complex data challenges? You know that data yields pivotal insights when it’s gathered from disparate sources and organized. As a Data Management Engineer, you will specialize in modern data and integration platforms such as Informatica, to connect, harmonize, and transform data to deliver relevant insights. What’s more, you’ll have the chance to grow Booz Allen’s DataOps capabilities while working with a multi-disciplinary team of analysts, data engineers, data scientists, developers, and data consumers in a fast-paced, agile environment. We’re looking for someone like you to ensure our clients meet their mission. 

This is an opportunity to support data management and engineering activities on some of the most mission-driven projects in the industry. Driving research and data focused efforts, you’ll have the chance to collaborate with data systems, ETL development teams, interface with data stores, perform data ingestion and handling of structured and unstructured data, improve data quality, and understand data models. From performing analytical exploration and examination of data to leading the assessment, design, building, and maintenance of scalable platforms, you’ll guide your clients to solve their most pressing challenges.

Join us. The world can’t wait.

You Have:   

  • Experience with software and systems engineering in all aspects of the System Development Life Cycle (SDLC)
  • Experience with architecting, engineering, performance and capacity, deployment standards in production, product integration, product support, overall fitment, such as product usage, and setting up data management environments
  • Experience with developing ETL and data pipelines
  • Experience with data modeling, schema configuration, data quality, and standardization techniques
  • Experience with PL/SQL, SQL, or Shell scripting
  • Ability to work in a big data or data lake environment
  • Ability to learn technical concepts quickly, demonstrate technical solutions, standards, and best practices, and communicate with multiple functional groups
  • Public Trust
  • Bachelor's degree

Nice If You Have:   

  • Expertise with AWS cloud application development, Trifacta, Axon, Enterprise Data Catalog (EDC), Enterprise Data Management, MDM Commercial Off-The-Shelf (COTS) Solution, System Integrator (SI) Relationship, Enterprise Reference 360, and Enterprise Data Governance
  • Experience with data lake or data warehouse technologies, including Databricks
  • Experience with AWS cloud native services for big data storage and processing
  • Experience with large-scale, distributed systems design and development
  • Knowledge of scaling, performance, and scheduling
  • Possession of excellent analytical and problem-solving skills
  • Possession of excellent verbal and written communication skills
  • Ability to pay strict attention to details, documentation, and SOP definition

Vetting:
Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client; Public Trust determination 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 $84,600.00 to $193,000.00 (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.

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.

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Category: Engineering Jobs

Tags: Agile AWS Big Data Databricks Data governance Data management DataOps Data pipelines Data quality Data warehouse Distributed Systems Engineering ETL Informatica Pipelines Research SDLC Shell scripting SQL Trifacta Unstructured data

Perks/benefits: Career development Flex vacation Health care Medical leave Team events

Region: North America
Country: United States

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