Data Engineer
USA, NM, Albuquerque (6501 Americas Pkwy)
Full Time Mid-level / Intermediate Clearance required USD 60K - 137K
Booz Allen Hamilton
Using tomorrow’s technologies, Booz Allen advances the nation’s most critical civil, defense, and national security missions.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 a data engineer like you to help our clients find answers in their data to impact important missions. As a data engineer at Booz Allen, 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.
On our team, you’ll work with and guide a multi-disciplinary team of data analysts/scientists, electrical engineers, test 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 data platforms for your clients. You will be responsible for helping develop and maintain database systems, continually seek opportunity to optimize the organization's data ecosystem, and build custom ETL and ELT workflows to address critical analytical questions, as necessary.
How You’ll Contribute:
As a data engineer on our team, you’ll:
- 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: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- 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.
Work with us as we use data for good.
Join us. The world can’t wait.
You Have:
- 2+ years of experience with creating software for retrieving, parsing, and processing structured and unstructured data
- 2+ years of experience with building ETL/ELT workflows for reporting and analytics
- 2+ years of experience with designing, developing, operationalizing, and maintaining data applications
- Experience with programming languages, such as Python, SQL, Scala, or Java
- Experience with creating solutions within a collaborative, cross-functional team environment
- 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
- Top Secret clearance
- HS diploma or GED
Nice If You Have:
- Experience with working on sensor data and equipment testing applications
- Experience with designing, building, and maintaining relational databases
- Experience with UNIX and Linux, including basic commands and Shell scripting
- Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud
- Experience with distributed data and computing tools
- 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 Agile engineering practices
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Top Secret clearance is required.
Create Your Career:
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 upskilling programs, 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. Booz Allen’s culture of respect, equity, and opportunity 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 develop your community in no time.
Support Your Well-Being
Our comprehensive benefits package 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. Here, we’ve compiled a list of resources 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 $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.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.
Tags: Agile AWS Azure Big Data Consulting Data Analytics Data management Data Warehousing ELT Engineering ETL GCP Google Cloud Java Lambda Linux Machine Learning MySQL Pipelines Python RDBMS Redshift Scala Security Shell scripting SQL Testing Unstructured data
Perks/benefits: 401(k) matching Career development Equity / stock options Flex hours Health care Medical leave Parental leave Team events Wellness
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