Employ Pine
Booz Allen Hamilton
Data Engineer
Location
Madison, AL
Job Type
Other
Date Posted
27 November 2025
Job Number: R0227663
Job Title: 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 big data can yield pivotal insights when it's gathered from disparate sources. We need a data professional like you to help our clients find answers in their big data to impact important missions from fraud detection to cancer research, to national intelligence.
As a big data engineer at Booz Allen, you'll use your skills and experience to implement data engineering activities on some of the most mission-driven projects in the industry. You'll develop and deploy the pipelines and platforms that organize and make disparate data meaningful. Here, you'll work with a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You'll sharpen your skills in analytical exploration and data examination while you support the assessment, design, developing, and maintenance of scalable platforms for your clients. Work with us to use big data for good. Join us. The world can't wait.
You Have:
- 2+ years of experience utilizing programming languages, including Python, R, Scala, or SQL
- 2+ years of experience developing and maintaining data applications for reporting and analytics
- Experience creating workflows for retrieving, parsing, and processing structured and unstructured data
- Experience developing scalable ETL and ELT pipelines for reporting and analytics
- Experience 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
- Secret clearance
- Bachelor's degree
Nice If You Have:
- Experience with Palantir tools such as Foundry
- Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka
- Experience with data visualization or geospatial tools, including Tableau, Qlik, Power BI, or ArcGIS
- Experience working within a Combatant Command or other DoD organization
- TS/SCI 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 $62,000.00 to $141,000.00 (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:
- 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.
Frequently Asked Questions
Madison, AL has seen growing interest in data engineering roles, partly due to expanding tech initiatives and government contracts nearby. For aspiring Data Engineers, this translates into increasing local opportunities, although competition remains moderate, making it a promising area for career entry or growth.
Certifications like AWS Certified Data Analytics and Google Cloud Professional Data Engineer are increasingly valued in Madison's tech market. Employers, including Booz Allen Hamilton, often prioritize candidates with cloud data skills, reflecting regional emphasis on scalable, secure data solutions.
Data Engineers primarily focus on designing and maintaining data pipelines and infrastructure, whereas Data Scientists emphasize analytics and modeling. Unlike Data Analysts who interpret data trends, Data Engineers build the frameworks enabling efficient data processing and accessibility.
Proficiency in tools like Apache Spark, Kafka, and cloud platforms such as AWS or Azure is crucial for mid-level Data Engineers. Understanding ETL processes and containerization with Docker also enhances career prospects, especially in consulting environments like Booz Allen Hamilton.
Entry-level Data Engineers often begin by supporting data integration tasks and gradually take on pipeline optimizations. Gaining experience in SQL, Python, and cloud services can lead to roles with more responsibility, including senior engineer or data solutions architect positions.
At Booz Allen Hamilton, Data Engineer consultants engage deeply with federal and commercial clients, emphasizing secure, scalable data architectures. This contrasts with typical industry roles by integrating strategic consulting with technical delivery, enhancing both analytical and communication skills.
Yes, Booz Allen Hamilton provides Data Engineers with diverse project exposure across sectors like defense and intelligence. The blend of consulting and engineering roles fosters multidisciplinary expertise, positioning employees for advancement beyond traditional engineering tracks.
Data Engineers in Madison typically earn between $85,000 and $115,000 annually, with consulting firms like Booz Allen Hamilton often offering competitive packages including bonuses. Salaries reflect experience, specialization, and the demand for advanced data engineering skills locally.
A frequent misunderstanding is equating Data Engineers solely with data analysis. In reality, they specialize in building and managing data infrastructure rather than interpreting data trends, which is more typical of Data Scientists or Analysts.
Salesforce Data Engineers focus on integrating and managing data within Salesforce ecosystems, often involving CRM data pipelines and custom analytics. This role blends traditional engineering skills with platform-specific knowledge, setting it apart from broader data engineering jobs.
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