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Closed on October 20, 2026.

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Job Description

BDO is hiring an IT Lead Data Engineer in the United States (onsite) to lead delivery of data extraction, transformation, storage, and platform governance.

Responsibilities

  • Partner with stakeholders and data architects to define and design data solutions supporting Firm data initiatives
  • Identify where Firm data assets reside and design integrations across disparate sources to solve problems and deliver business value
  • Coordinate with project managers to provide effort estimates and deliver technical leadership for solution design and requirements
  • Work with data governance to apply data principles across day-to-day data usage and solution design
  • Create mock-up solution designs, visualizations, and reports to demonstrate proposed deliverables
  • Serve as a subject matter expert and educator for data platforms and best practices related to data usage and hygiene
  • Meet regularly with business line customers to understand business processes and evolving data needs to identify data-related opportunities
  • Collaborate with data scientists and developers to apply advanced technologies, including artificial intelligence and machine learning, to find patterns and trends in Firm data
  • Build and maintain working relationships with project teams, vendors, and other departments across projects, systems, and IT strategies
  • Act as a technical lead by reviewing solution designs, conducting code reviews, and troubleshooting advanced technical issues
  • Drive continuous improvement to keep Firm data accurate and timely
  • Coordinate with Information Security and Compliance teams to ensure data strategy and technologies align with internal policies and external regulatory requirements
  • Collaborate with BDO Global and other BDO member firms to follow organization standards and support reusable models and rapid deployment of shared technology
  • Follow Project Management basics and Project Management Office policies and procedures
  • Perform other duties as required

Requirements

  • High School Diploma or GED (required)
  • 8+ years working as a data engineer, data analyst, or similar analyst/engineer role (required)
  • 8+ years working with PowerBI, Tableau, or similar data visualization products (required)
  • 5+ years working within commercial cloud platforms including Microsoft Azure, AWS, or GCP (required)
  • 3+ years using version control tools such as Azure DevOps or GitHub (required)
  • Demonstrable proficiency developing and understanding custom and ad-hoc SQL queries (required)
  • Strong proficiency in the Microsoft Office suite, specifically Excel (required)
  • Strong proficiency in SQL Server Management Studio (SSMS) or similar (required)
  • Strong proficiency in PowerBI, Tableau, Looker, Qlik, or similar (required)

Technologies

  • PowerBI, Tableau, Looker, Qlik
  • Microsoft Azure, AWS, GCP
  • Azure DevOps, GitHub
  • SQL, SQL Server Management Studio (SSMS)
  • Microsoft Office suite, Excel
  • Artificial intelligence, machine learning
  • Python, Scala, R, Java

Other Knowledge, Skills & Abilities

  • Strong analytical, organizational, and problem-solving skills
  • Excellent written communication skills, including accurate documentation and technical authorship of complex documents
  • Ability to facilitate meetings efficiently and effectively
  • Ability to drive an issue to logical conclusion and escalate as necessary
  • Ability to work independently and in a team, including providing technical leadership to less experienced colleagues
  • Excellent interpersonal and customer relationship skills
  • Capability to work in a deadline-driven environment while managing multiple complex tasks with attention to details
  • Ability to work professionally under pressure while handling unexpected issues
  • Ability to work after hours and weekends as needed
  • Capacity to travel as needed

Preferred Experience

  • Experience in a large, complex enterprise with significant regulatory and compliance requirements (preferred)
  • Experience using a modern scripting language such as Python, Scala, R, or Java (preferred)
  • Professional service firm experience (preferred)

Preferred Education

  • Bachelor’s Degree in Computer Science, Information Management, Mathematics, or Statistics (preferred)

Compensation: USD 138,000 - 170,000 per year

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