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Data Engineer, Senior

Bah Open · verified Oct 24, 2026
Huntsville Full-time Senior Data Engineering

At a glance

Senior Data Engineering role at Bah. Huntsville · full-time · $77,500–$176,000 base.

SalaryStated by Bah
$77,500 – $176,000
Base salary for this role, in USD per year, as published in the posting.
RoleData Engineering
SenioritySenior
LocationHuntsville
EmploymentFull-time
Base pay$77,500–$176,000
PostedAug 31, 2026 · 7w ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Build and maintain data pipelines and platforms that bring together information from different sources
  • Assess, design and operate scalable data platforms for client needs
  • Guide analysts, engineers, developers and data users working across disciplines
  • Examine data and explore it analytically to help clients find useful answers

What you bring

  • At least eight years designing data warehouses or lakes, API models, event processing or business intelligence systems
  • Five or more years building scalable ETL or ELT pipelines and automating batch and streaming data workflows
  • Five or more years coding in SQL, Python, Scala or another listed language
  • A Top Secret clearance and either a bachelor’s degree with six years building data systems or ten years without a degree

Who this fits

This senior role suits an experienced data engineer who can guide multidisciplinary teammates and work on client projects. A Top Secret clearance is required. The stated annual salary range is $77,500 to $176,000.

From the employer

Data Engineer, Senior

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, from fraud detection to cancer research, to national intelligence.

As a Data Engineer at Booz Allen, you’ll help build advanced technology solutions and 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 and guide a multi-disciplinary team of analysts, data 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 platforms for your clients.

Join us. The world can’t wait.

You Have: 

  • 8+ years of experience designing data warehouse or data lake, RESTful API models, event processing, or business intelligence for software systems

  • 5+ years of experience building scalable ETL or ELT data pipelines, automating large-scale batch and streaming data workflows, and parsing structured, unstructured, or event-streaming data

  • 5+ years of experience with coding in software programming languages, including SQL, Python, Scala, Spark, or Java

  • Experience performing tuning on data lake architecture to optimize cloud storage and pipeline performance

  • Experience with data management solutions that address aspects of data catalog, data usage, governance policies, and lifecycle management

  • Top Secret clearance

  • Bachelor’s degree and 6+ years of experience designing, developing, operationalizing, and maintaining data systems, or 10+ years of experience designing, developing, operationalizing, and maintaining data systems in lieu of a degree

Nice If You Have:  

  • 3+ years of experience architecting and designing large-scale enterprise data and analytics systems

  • 3+ years of experience using and developing data systems with AWS and Microsoft Azure cloud data products such as AWS EMR, AWS Glue, Azure Dataverse, Azure Data Factory, and Power Apps

  • Experience with distributed data or computing tools, including Apache Spark, Apache NiFi, AirFlow, Databricks, Snowflake, Redshift, or BigQuery

  • Experience with federal information system policies, including NIST 800.53 and FISMA, data security, access controls, and data protection techniques

  • Experience creating and improving continuous automation across multiple technical stacks, and automating CD/CD pipelines with tools such as Jenkins or GitHub

  • Experience with NoSQL databases such as Elasticsearch, Solr, MongoDB, or Cosmo DB

  • Experience with AI or ML pipelines and processes

  • TS/SCI clearance with a polygraph

  • Master’s degree

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.

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 hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. 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.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.

  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.

  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the 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.

Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Engineering$70k+

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.