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9 часов назад

Lead Data Engineer (Tax Product Development)

140 000 - 210 000$
Формат работы
remote (только USA)/hybrid
Тип работы
fulltime
Грейд
lead
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
Lead Data Engineer (Tax Product Development) (SQL/Azure): Building and supporting tax data warehouses, data lakes, ingestion processes, and ETL/ELT pipelines with an accent on scalable data integration, analytics platforms, and data quality. Focus on architecting large-scale relational and non-relational data systems, optimizing high-volume queries, and delivering secure, reliable data products.

Location: United States; hybrid and remote environments are supported. Office locations include New York, Seattle, Charlotte, Philadelphia, Miami, Milwaukee, Dallas, Orlando, Atlanta, Denver, Boston, Raleigh, Richmond, Grand Rapids, Chicago, Houston, and Washington, D.C.

Salary: $140,000–$210,000 annually, with individual offers based on qualifications, experience, skills, and geography.

Company

hirify.global provides assurance, tax, and advisory services to clients across the United States and around the world and operates as an employee-owned company.

What you will do

  • Develop and support the tax data warehouse, tax data lake, ingestion processes, ETL/ELT pipelines, and Power BI platform.
  • Own end-to-end delivery of large data engineering features and systems, including technical requirements and architecture.
  • Design, implement, test, and maintain scalable data structures, pipelines, and integration solutions within an Agile team.
  • Build data products supporting ad-hoc analytics, business intelligence applications, and strategic tax practice priorities.
  • Apply software engineering, governance, security, quality, consistency, integrity, and scalability practices to data platforms.
  • Collaborate with analytics, development, architecture, security, and other stakeholder teams while mentoring junior engineers.

Requirements

  • Bachelor’s degree required; a focus in computer science, technology, engineering, mathematics, finance, or accounting is preferred.
  • Six or more years of experience in data engineering or a related role.
  • Experience with one or more programming languages such as Python, Java, C#, C++, or Scala for data engineering applications.
  • Experience with relational and non-relational databases, complex SQL queries, stored procedures, database objects, data modeling, and OLTP/OLAP workloads is preferred.
  • Experience with ETL/ELT frameworks and tools such as Apache Spark, Databricks, Airflow, Talend, or Informatica is preferred.
  • Microsoft Azure Data Engineer certification, tax experience, and public accounting experience are preferred.

Nice to have

  • Experience with Microsoft Azure DevOps or GitHub, Microsoft SQL Server or Azure SQL Database, Microsoft Office, and Power BI.
  • Knowledge of data governance, data quality, and data security practices in distributed environments.
  • Tax or public accounting experience.

Culture & Benefits

  • Work in hybrid and remote environments with cross-functional teams.
  • Employee ownership through an ESOP and access to comprehensive Total Rewards benefits, subject to eligibility.
  • Work in a deadline-driven environment with opportunities to mentor and advise team members.
  • Support for professional growth and career development.

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