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BigID Data Engineer

Bah Open · verified Oct 24, 2026
McLean Full-time Mid-level Data Engineering

At a glance

Mid-level Data Engineering role at Bah. McLean · full-time · $62,000–$141,000 base.

SalaryStated by Bah
$62,000 – $141,000
Base salary for this role, in USD per year, as published in the posting.
This role, from BahOur estimate for the market: $101,500–$211,200Median $142,500
Below the market median of $142,500 for mid-level data engineering roles in McLean.
Worked out from 8 postings that stated pay, median $142,500. Last updated Oct 20, 2026.
RoleData Engineering
SeniorityMid-level
LocationMcLean
EmploymentFull-time
Base pay$62,000–$141,000
PostedSep 14, 2026 · 5w ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Create and roll out pipelines and platforms that turn data from separate sources into useful, organized information
  • Move data through acquisition, tagging and integration as part of pipeline development
  • Build ETL workflows in SQL, Java or Python for structured, semi-structured and unstructured information
  • Evaluate client needs, then design and maintain scalable platforms while providing direction to a multidisciplinary team

What you bring

  • At least three years building data pipelines that cover data intake, tagging and integration
  • At least three years developing ETL with SQL, Java or Python and working across varied data formats
  • Practical experience with BigID, AWS services and using machine-learning models to classify data
  • A high school diploma or GED, plus Secret clearance

Who this fits

This mid-level role suits a data engineer ready to guide analysts, engineers, developers and data users while working on scalable data platforms. Secret clearance is required, and selected applicants will go through a security review to assess classified-access eligibility.

From the employer

BigID 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—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.

Work with us to use data for good.

Join us. The world can’t wait.

You Have:  

  • 3+ years of experience with data pipelines, including data acquisition, data tagging, and data integration

  • 3+ years of experience in ETL development using SQL, Java, or Python

  • 3+ years of experience processing a variety of data, including structured semi-structured and unstructured

  • Experience with BigID

  • Experience with AWS services

  • Experience applying ML models for classification

  • Secret clearance

  • HS diploma or GED

Nice If You Have:  

  • Experience with Databricks

  • Experience with big data ecosystems

  • Experience with Infrastructure-as-Code tools such as Terraform or Ansible

  • Experience with Agile development methodologies

  • Experience working on real-time data and streaming applications

  • Ability to pay strict attention to detail

  • Possession of excellent problem-solving and analytical skills

  • TS/SCI clearance

  • Bachelor's degree in an IT-related field

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 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$60k+

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.