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3 дня назад

Data Scientist (Data Mapping & Architecture Support)

120 000 - 130 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Scientist (Data Mapping & Architecture Support): Mapping data sources and relationships, maintaining a company-wide data dictionary, and supporting enterprise data architecture with an accent on data lineage, modeling, governance, and business logic validation. Focus on tracing multi-source data flows, resolving quality and consistency issues, and translating policy requirements into clear technical documentation.

Location: Remote work from Virginia, United States

Salary: $120,000–$130,000

Company

hirify.global delivers technology solutions in data and AI, cybersecurity, and enterprise transformation for defense, intelligence, and federal civilian agencies.

What you will do

  • Identify, trace, and document data flows across systems, including transformations, dependencies, and ownership.
  • Build and maintain a comprehensive data dictionary covering field meanings, formats, sources, and business context.
  • Work with the Enterprise Architect to apply data mapping and dictionary findings to technical architecture, policies, standards, and business logic.
  • Analyze data for consistency, accuracy, and completeness; identify conflicts and recommend standardization.
  • Partner with HR, Finance, Operations, and other stakeholders to validate business rules and data definitions.
  • Produce data lineage diagrams, dictionary entries, mapping reports, and other documentation for technical and non-technical users.

Requirements

  • Experience with data mapping and data lineage tools and techniques.
  • Strong skills in building and maintaining a data dictionary or metadata repository.
  • Solid understanding of data modeling concepts, including entities, relationships, and schemas.
  • Proficiency in SQL and at least one programming language, with Python preferred.
  • Experience working with large, multi-source datasets, including databases, APIs, and flat files.
  • Ability to interpret business logic and policy and translate them into clear data definitions.
  • Strong attention to detail and documentation skills.

Nice to have

  • Experience working alongside Enterprise Architects or data governance teams.
  • Familiarity with Databricks, Delta Lake, or similar data platforms.
  • Exposure to data governance frameworks such as DAMA-DMBOK or metadata management tools such as Collibra and Alation.
  • Background in HR, employee, or other sensitive or regulated data domains.
  • Experience with Power BI, Tableau, or similar data visualization tools for presenting mapping findings.

Culture & Benefits

  • Remote work arrangement.
  • Equal opportunity employment environment.
  • Mission-driven, accountable, and engaging culture.
  • Focus on professional development, innovation, and high-performing teams.

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