Data Engineer, Senior

Reposted Yesterday
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Atlanta, GA, USA
In-Office
78K-176K Annually
Senior level
Information Technology
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The Role
Lead enterprise-scale data engineering initiatives, including the design, development, deployment, and maintenance of production data pipelines and scalable data platforms. Guide multidisciplinary teams, modernize analytics workflows using Python and SQL, develop shared libraries, and support Palantir Foundry adoption through training, integration, and architecture. Collaborate with stakeholders, provide technical presentations, and apply expertise in data architecture, Databricks, cloud platforms, and distributed data processing.
Summary Generated by Built In
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 senior Data Engineer, you know that organizing big data can yield pivotal insights when it’s gathered from disparate sources. We need a big 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 senior Data Engineer at Booz Allen, you’ll use your expertise to lead data engineering activities on some of the most mission-driven projects in the industry. You’ll oversee the development and deployment of pipelines and platforms that organize and make disparate data meaningful. Here, you’ll guide and 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. 

In this role, you will also support code environments using Python and SQL, translating and modernizing analytics workflows across platforms. You’ll lead the development of shared libraries and modular code repositories, ensuring maintainability and consistency across enterprise teams. Your experience with Palantir Foundry will be critical as you collaborate on onboarding programs to the platform and drive adoption through training, integration, and architecture support. This position is located in Atlanta, GA.  

Work with us to use big data for good.

Join us. The world can't wait. 

You Have: 

  • 5+ years of experience with PySpark, SQL, distributed data processing, and enterprise-scale data engineering

  • 5+ years of experience designing, developing, owning, and maintaining end-to-end production data pipelines

  • 5+ years of experience with data architecture, including schema design, Medallion architecture, partitioning strategies, and performance optimization

  • 5+ years of experience collaborating with business stakeholders, gathering requirements, and delivering technical presentations to technical and non-technical audiences

  • 2+ years of experience with Databricks, including Delta Lake, Unity Catalog, or Job orchestration

  • 2+ years of experience with Microsoft Azure, including Azure Data Factory, Azure Functions, Azure Storage, or cloud platforms such as AWS or Google Cloud Platform (GCP)

  • Experience with Palantir Foundry, including pipeline development, transformation logic, and data modeling

  • Experience supervising others and leading deliverables in cross-functional environments

  • Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements

  • Bachelor's degree

Nice If You Have: 

  • Experience with CI/CD pipelines for data engineering and app services using Azure DevOps or equivalent tooling

  • Experience with Generative AI, including RAG, LLMs, and embedding models, and delivering AI-driven business solutions

  • Experience implementing data quality, observability, monitoring, data security, and enterprise data governance

  • Knowledge of Agile development methodologies, DevOps, and DataOPs practices

Vetting:

Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.

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.

Skills Required

  • 5+ years of experience with PySpark, SQL, distributed data processing, and enterprise-scale data engineering
  • 5+ years of experience designing, developing, owning, and maintaining end-to-end production data pipelines
  • 5+ years of experience with data architecture, including schema design, Medallion architecture, partitioning strategies, and performance optimization
  • 5+ years of experience collaborating with business stakeholders, gathering requirements, and delivering technical presentations to technical and non-technical audiences
  • 2+ years of experience with Databricks, including Delta Lake, Unity Catalog, and job orchestration
  • 2+ years of experience with Microsoft Azure, including Azure Data Factory, Azure Functions, Azure Storage, or cloud platforms such as AWS or Google Cloud Platform
  • Experience with Palantir Foundry, including pipeline development, transformation logic, and data modeling
  • Experience supervising others and leading deliverables in cross-functional environments
  • Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
  • Bachelor's degree
  • Experience with CI/CD pipelines for data engineering and app services using Azure DevOps or equivalent tooling
  • Experience with Generative AI, including RAG, LLMs, and embedding models, and delivering AI-driven business solutions
  • Experience implementing data quality, observability, monitoring, data security, and enterprise data governance
  • Knowledge of Agile development methodologies, DevOps, and DataOps practices

Booz Allen Hamilton Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Booz Allen Hamilton and has not been reviewed or approved by Booz Allen Hamilton.

  • Retirement Support Retirement benefits are anchored by a dollar‑for‑dollar 401(k) match with immediate vesting and complemented by an employee stock purchase plan. Feedback suggests these features strengthen long‑term financial security beyond base pay.
  • Healthcare Strength Health coverage spans medical, dental, vision, life, disability, mental health, and wellness incentives, with multiple plan options. Tax‑advantaged accounts and wellness contributions further enhance the breadth of coverage.
  • Leave & Time Off Breadth Time‑off benefits include paid holidays, PTO that grows with tenure, and paid parental leave with additional unpaid time available. Flexible scheduling and remote options support work‑life balance alongside formal leave.

Booz Allen Hamilton Insights

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The Company
HQ: McLean, VA
Year Founded: 1914

What We Do

Booz Allen is an advanced technology company delivering outcomes with speed for America’s most critical defense, civil, and national security priorities. We build technology solutions using AI, cyber, and other cutting-edge technologies to advance and protect the nation and its citizens. By focusing on outcomes, we enable our people, clients, and their missions to succeed—accelerating the nation to realize our purpose: Empower People to Change the World®.

Why Work With Us

At Booz Allen, our culture of heart and performance will fuel your growth and empower you to succeed, both inside and outside of the workplace. Discover your future career and join us. The world can't wait.

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