Data Success Engineer

Booz Allen Hamilton; Bethesda (MD); On-site; USD 78,000 - 176,000; Full time

Job summary

Booz Allen Hamilton is seeking a Data Success Engineer in Bethesda to turn client needs into reliable data products. You will collaborate with stakeholders to define data requirements, build pipelines, and ensure data quality using SQL, Python, and AWS services. Experience with Databricks is a plus.

Join a team that partners with business leaders and technical teams to deliver mission-ready data solutions that support critical decisions and outcomes.

Qualifications

• Experience gathering, analyzing, and documenting business or data requirements.
• Experience with SQL including writing complex queries across multiple tables/sources.
• Experience with AWS services, including Glue, S3, and RDS.
• Experience using Python for data processing, automation, or pipeline development.
• Experience with relational databases and structured data.

Responsibilities

• Turn client needs into reliable, usable data products.
• Partner with stakeholders to understand data needs and document data definitions.
• Develop and improve data pipelines; validate data quality and transformations.
• Support Databricks-enabled solutions and communicate technical findings clearly.

Skills

Data requirements

Stakeholder comms

SQL queries

AWS services

Python

Relational databases

Business alignment

Public Trust eligibility

Education

Bachelor’s degree in CS/CE/Engineering/Math/IS&T

Tools

Databricks

Spark

Delta Lake

Databricks SQL

Jira

Confluence

Scrum

Job description

Join a culture of empowerment and connectivity.

Develop your craft

Learn the skills you need to accelerate your career.

Discover benefits that support your life and work.

Innovate with intention

Build mission-ready tech that protects the nation.

You know that data is most valuable when it helps people make better decisions and accomplish their mission. As a Data Success Engineer, you’ll work at the intersection of business analysis and data engineering to turn client needs into reliable, usable data products.

You’ll partner with business stakeholders, data owners, analysts, and technical teams to understand business processes and data needs, clarify requirements, and build or improve the pipelines that deliver data. You’ll use SQL and Python to query, profile, transform, and validate data, troubleshoot quality issues, and help ensure solutions meet business requirements. You’ll document data definitions and transformation logic, explain technical findings in clear language, and contribute to Agile planning and continuous improvement. You’ll also support solutions built with Databricks and help clients understand how their data products support business outcomes.

Work with us to use data for good.

You Have:

• Experience gathering, analyzing, and documenting business or data requirements, including translating needs into user stories, acceptance criteria, source-to-target mappings, or technical specifications
• Experience working directly with clients and stakeholders to facilitate information-gathering discussions, ask effective questions, clarify needs, and communicate findings
• Experience with SQL including writing complex queries and investigating data issues across multiple tables or sources
• Experience using various AWS services, including AWS Glue, Amazon S3, and Amazon RDS
• Experience using Python for data processing, automation, or pipeline development
• Experience working with relational databases and structured data
• Ability to connect business objectives to data requirements and technical implementation
• Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
• Bachelor’s degree in Computer Science, Computer Engineering, Engineering, Math, Physics, or Information Systems and Technology

Nice If You Have:

• Experience with Databricks, including notebooks, Spark, Delta Lake, or Databricks SQL
• Experience with data warehousing, lakehouse architecture, or medallion data architecture
• Experience with data quality frameworks, metadata management, or data governance
• Experience with Agile delivery tools and practices, such as Jira, Confluence, and Scrum
• Experience creating process flows, data models, or other artifacts that help teams understand how data moves and is used
• Possession of strong analytical, problem-solving, written, and verbal communication skills
• Databricks, AWS, or data engineering Certifications

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 your 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 $77,600.00 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. 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 or customer facility, in alignment with your leadership's expectations and the needs of the role.
• Onsite: If this position is listed as onsite, work will primarily be performed full-time at a 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.