Data Success Engineer

Booz Allen Hamilton

. Partner with business stakeholders, data owners, analysts, and technical teams to understand business processes and data needs .

Posted 10/22/2026full-timeUnited StatesMid-LevelSenior💰 $77,600 - $176,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in SQL and Python for data processing and pipeline development, with a strong ability to translate business requirements into technical specifications. Proficient in data quality management and Agile methodologies, ensuring reliable data products that align with business objectives.

Highest-signal resume keywords

SQL Query WritingPython Data ProcessingAWS GlueDatabricks ExperienceData Quality Frameworks

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPythonData Pipeline DevelopmentData WarehousingData GovernanceRelational DatabasesData ModelingData TransformationMetadata ManagementAgile Methodologies

Soft Skills

Analytical SkillsProblem-SolvingCommunication SkillsStakeholder EngagementDocumentation Skills

Tools & Technologies

AWSDatabricksJiraConfluenceAmazon S3Amazon RDS

Certifications & Qualifications

Databricks CertificationAWS CertificationData Engineering Certification

Industry Keywords

Data QualityLakehouse ArchitectureMedallion Data ArchitectureAgile DeliveryPublic Trust

Tech Stack

Tools & technologies

AWSPythonSparkSQL

About the role

Key responsibilities & impact

Partner with business stakeholders, data owners, analysts, and technical teams to understand business processes and data needs
Clarify requirements and build or improve data pipelines that deliver reliable, usable data products
Use SQL and Python to query, profile, transform, and validate data
Troubleshoot data quality issues and help ensure solutions meet business requirements
Document data definitions and transformation logic
Explain technical findings in clear language
Contribute to Agile planning and continuous improvement
Support solutions built with Databricks
Help clients understand how their data products support business outcomes

Requirements

What you’ll need

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

Benefits

Comp & perks

Health benefits
Life insurance
Disability benefits
Financial benefits
Retirement benefits
Paid leave
Professional development
Tuition assistance
Work-life programs
Dependent care
Recognition awards program
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