
Specializing in digital transformation and artificial intelligence.
Data Engineer
必备技能
Python
Java
SQL
AWS
Linux
MongoDB
Azure
Kafka
Spark
Scala
Machine Learning
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 professional 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’ll use your expertise to help build advanced technology solutions and lead data engineering activities on some of the most mission-driven projects in the industry. You’ll guide data engineering activities by overseeing the development and deployment of pipelines and platforms that organize and make disparate data meaningful.
Here, you’ll mentor a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You’ll use your expertise in analytical exploration and data examination while you oversee 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:
-
7+ years of experience in application development
-
7+ years of experience designing, developing, operationalizing and maintaining complex data applications at enterprise scale
-
5+ years of experience creating software for retrieving, parsing and processing structured and unstructured data
-
5+ years of experience developing scalable ETL and ELT workflows for reporting and analytics
-
Experience with developing scripts and programs for converting various types of data into usable formats and supporting project team to scale, monitor and operate data platforms
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Experience in supervising others and leading projects and deliverables within a collaborative, cross-functional team environment
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Secret clearance
-
Bachelor’s degree
Nice If You Have:
-
10+ years of experience using Python, SQL, Scala, or Java
-
5+ years of experience with a public cloud including AWS, Microsoft Azure or Google Cloud
-
5+ years of experience with Distributed data or computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka
-
5+ years of experience working on real-time data and streaming applications
-
5+ years of experience with NoSQL implementation, including Mongo
DB or Cassandra:
-
5+ years of experience with data warehousing, including AWS Redshift, MySQL, or Snowflake
-
5+ years of experience with UNIX or Linux, including basic commands and Shell scripting
-
5+ years of experience with Agile engineering practices
-
TS/SCI clearance with a polygraph
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 $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.
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关于Booz Allen Hamilton

Booz Allen Hamilton
PublicBooz Allen Hamilton Holding Corporation is the parent of Booz Allen Hamilton Inc., an American company specializing in digital transformation and artificial intelligence.
10,001+
员工数
McLean
总部位置
$4.2B
企业估值
评价
10条评价
3.8
10条评价
工作生活平衡
4.0
薪酬
2.5
企业文化
4.2
职业发展
2.8
管理层
3.5
68%
推荐率
优点
Supportive management
Good work-life balance
Flexible work arrangements
缺点
Low compensation
Limited growth opportunities
Long hours during peak periods
薪资范围
37个数据点
Junior/L3
L2
L6
Mid/L4
Senior/L5
L3
L4
L5
Junior/L3 · Data Engineer
1份报告
$149,500
年薪总额
基本工资
$115,000
股票
-
奖金
-
$149,500
$149,500
面试评价
3条评价
难度
3.0
/ 5
时长
21-35周
面试流程
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Hiring Manager Interview
5
Team Interview
6
Offer
常见问题
Technical Knowledge
Behavioral/STAR
Past Experience
Culture Fit
Problem Solving
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