{"id":3232207,"url":"https://alion.io/job/booz-allen-hamilton-data-success-engineer","title":"Data Success Engineer","company":{"id":244,"name":"Booz Allen Hamilton","domain":"boozallen.com","url":"https://alion.io/company/booz-allen","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":86,"open_postings":175,"ghost_share":0,"stale_share":0.566,"repost_share":0.023,"time_to_fill_p50_days":29,"computed_at":"2026-10-29T05:49:05Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bethesda, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":77600,"max":176000,"currency":"USD","period":"year","gross":null,"usd_annual":176000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Glue","optional":false},{"name":"Databricks","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Confluence","optional":true},{"name":"Delta Lake","optional":true},{"name":"Jira","optional":true},{"name":"Scrum","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-22T00:00:00Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-10-29T10:11:03Z","board_verified":true,"closed_at":null,"days_open":7,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":7},"description":"Data Success EngineerThe Opportunity:\nYou 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.\nYou’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.\nWork with us to use data for good.\nJoin us. The world can't wait.\nYou Have:\nExperience gathering, analyzing, and documenting business or data requirements, including translating needs into user stories, acceptance criteria, source-to-target mappings, or technical specifications\nExperience working directly with clients and stakeholders to facilitate information-gathering discussions, ask effective questions, clarify needs, and communicate findings\nExperience with SQL including writing complex queries and investigating data issues across multiple tables or sources\nExperience using various AWS services, including AWS Glue, Amazon S3, and Amazon RDS\nExperience using Python for data processing, automation, or pipeline development\nExperience working with relational databases and structured data\nAbility to connect business objectives to data requirements and technical implementation\nAbility to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements\nBachelor’s degree in Computer Science, Computer Engineering, Engineering, Math, Physics, or Information Systems and Technology\nNice If You Have:\nExperience with Databricks, including notebooks, Spark, Delta Lake, or Databricks SQL\nExperience with data warehousing, lakehouse architecture, or medallion data architecture\nExperience with data quality frameworks, metadata management, or data governance\nExperience with Agile delivery tools and practices, such as Jira, Confluence, and Scrum\nExperience creating process flows, data models, or other artifacts that help teams understand how data moves and is used\nPossession of strong analytical, problem-solving, written, and verbal communication skills\nDatabricks, AWS, or data engineering Certifications\nVetting:\nApplicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.\nCompensation\nAt 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.\nSalary 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\nAs 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.\nCandidate AI Usage Policy\nAI 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.\nWork Model\nOur 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.\nRemote: 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.\nHybrid: 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.\nOnsite: 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.\nCommitment to Non-Discrimination\nAll 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 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