Data Engineer

USA, NM, Kirtland AFB (1400 1st St), 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 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.

As a data engineer, you’ll implement data engineering activities on some of the most mission-driven projects in the industry. You’ll deploy and develop pipelines and platforms that organize and make disparate data meaningful.

Here, you’ll work with a multi-disciplinary team of data analysts and scientists, electrical engineers, test engineers, software developers, and data consumers in a fast-paced, agile environment. You’ll use your experience in analytical exploration and data examination while you help assess, design, build, and maintain scalable data platforms for your clients. You will help develop and maintain database systems, continually seek opportunity to optimize the organization's data ecosystem, and build custom ETL and ELT workflows as necessary to address critical analytical questions.

What You'll Work On:

  • Apply consulting skills and data analytics experience by simplifying technical requirements and trends, based on audience.

  • Utilize your technical expertise and problem-solving skills to build and maintain robust data infrastructure.

  • Design, construct, install, test, and maintain highly scalable data management systems, ensuring they meet business requirements and industry practices.

  • Employ a variety of languages and tools to marry systems together or try to hunt down opportunities to acquire new data from other systems.

  • Interpret and analyze data from various source systems to support data integration and data reporting needs.

  • Identify, design, and implement internal process improvements, including automating manual processes, optimizing data delivery, or re-designing infrastructure for greater scalability.

  • Develop analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.

  • Create data tools for analytics and data scientist team members that assist them in building and optimizing our data products.

  • Grow your communication and technical skills by merging consulting and big data to create data-centric solutions across the testing and evaluation industry.

Join us. The world can't wait.

You Have:  

  • 2+ years of experience using programming languages such as Python

  • 2+ years of experience working with databases and data modeling and developing and maintaining scalable data stores that supply big data in forms needed for business analysis

  • Experience in SQL

  • Experience creating software for retrieving, parsing, and processing structured and unstructured data

  • Experience developing scalable ETL or ELT workflows for reporting and analytics

  • Experience creating solutions in a collaborative, cross-functional team environment

  • Experience with a public cloud such as AWS, Microsoft Azure, or Google Cloud

  • Ability to develop scripts and programs for converting various types of data into usable formats and support project team to scale, monitor, and operate data platforms

  • Secret clearance

  • Bachelor's degree

Nice If You Have:  

  • Experience with electrical engineering data such as sensor data, signal processing, and system logs

  • Experience with the 1553 bus system

  • Experience in Developmental or Operational Test and Evaluation

  • Experience designing, building, and maintaining relational databases

  • Experience with UNIX and Linux, including basic commands and Shell scripting

  • Experience with AWS ETL services such as Glue or Lambda

  • Experience with data warehousing and relational database solutions using AWS RDS, AWS Redshift, or MySQL

  • Experience with version control systems such as Git

  • Experience with Agile engineering practices

  • Top Secret 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.

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 $60,400.00 to $137,000.00 (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.

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Category: Engineering Jobs

Tags: Agile AWS Azure Big Data Consulting Data Analytics Data management Data Warehousing ELT Engineering ETL GCP Git Google Cloud Lambda Linux Machine Learning MySQL Pipelines Python RDBMS Redshift Security Shell scripting SQL Testing Unstructured data

Perks/benefits: Career development Health care Team events

Region: North America
Country: United States

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