Data Success Engineer

Booz Allen Hamilton • Bethesda, MD

2d

About The Position

As a Data Success Engineer, you will work at the intersection of business analysis and data engineering to turn client needs into reliable, usable data products. You will partner with business stakeholders, data owners, analysts, and technical teams to understand business processes and data needs, clarify requirements, and build or improve data-delivery pipelines. You will use SQL and Python to query, profile, transform, and validate data; troubleshoot quality issues; and help ensure solutions meet business requirements. You will document data definitions and transformation logic, communicate technical findings clearly, contribute to Agile planning and continuous improvement, and support solutions built with Databricks while helping clients understand how data products support business outcomes.

Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client. The role requires the ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements.

Requirements

• 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 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 To Haves

• 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.
• Strong analytical, problem-solving, written, and verbal communication skills.
• Databricks, AWS, or data engineering certifications.

Responsibilities

• Partner with business stakeholders, data owners, analysts, and technical teams to understand business processes and data needs.
• Gather, clarify, and document business and data requirements.
• Build or improve data pipelines that deliver usable data products.
• Use SQL and Python to query, profile, transform, and validate data.
• Troubleshoot data quality issues and 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 and help clients understand how data products support business outcomes.

Benefits

• Health, life, and disability benefits.
• Financial and retirement benefits.
• Paid leave.
• Professional development.
• Tuition assistance.
• Work-life programs.
• Dependent care.
• Recognition awards for exceptional performance and demonstration of company values.

What This Job Offers

• Job Type: Full-time