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Accounting, Financial Services, Professional Services, Consulting

Lead Data Engineer - Tax Product Development

United StatesHybridFull TimeLead$140,000–$210,000 /yrPosted 1 month agoVisa sponsorship available

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Required skills

  • Mathematics
  • STEM
  • Finance
  • Accounting
  • Python
  • data engineering
  • data processing
  • integration solutions
  • data pipelines
  • ETL/ELT

Nice to have

  • SQL Server
  • PostgreSQL
  • Oracle
  • CosmosDB
  • MongoDB
  • Cassandra

Role summary

BDO is seeking a Lead Data Engineer for Tax Product Development to join their Data Engineering and Integration team. This role involves developing and supporting the Tax Data Warehouse and Tax Data Lake, managing data ingestion and ETL processes, and supporting the Power BI business intelligence platform. The Lead Data Engineer will build and maintain tax data pipelines for analytics and BI applications, identify improvement opportunities, and collaborate with data analytics teams to deploy new solutions. The position requires owning end-to-end feature delivery, defining technical requirements and architecture, leading design and implementation within an Agile team, and applying modern software engineering principles. The role also includes mentoring junior engineers, maintaining data products, and communicating effectively with stakeholders.

Job Summary:

The Lead Data Engineer, Tax Product Development, works with the Data Engineering and Integration team to develop and support BDO’s Tax Data Warehouse and Tax Data Lake, manage and maintain data ingestion and Extract/Transform/Load (ETL) processes, as well as provide support for the Power BI business intelligence platform and enterprise applications supporting the tax practice.

The Lead Data Engineer builds and maintains tax data pipelines to support ad-hoc analytics and business intelligence applications as well as identify valuable development opportunities and ideas for improvement. This role collaborates closely with the data analytics teams to design, develop, and deploy new solutions that support strategic business priorities.

Job Duties:

  • Owns end-to-end delivery of large features and systems, defining technical requirements and architecture for data processing and integration solutions
  • Leads design and implementation of major data structures and pipelines within an Agile team focused on data engineering solutions
  • Designs, develops, and tests data products, pipelines, and solutions using web and cloud technologies for innovative data processing and analytics
  • Applies modern software engineering principles throughout the software lifecycle for data-related applications, including ETL/ELT processes and database systems
  • Reviews business requirements for technical feasibility, and collaborates with various teams, including internal developers and external peers, to deliver quality data integration solutions
  • Mentors junior engineers to enhance code quality and ensure compliance with standards in data pipeline and analytics platform development
  • Maintains data products and platforms based on product roadmaps, production support processes, and compliance with IT, security, and business mandates, ensuring data consistency, integrity, and scalability
  • Effectively communicates with stakeholders and cross functional teams such as technical architects and security teams and others
  • Other duties as required

Supervisory Responsibilities:

  • Acts as a direct supervisor to team members, as assigned
  • Acts as a career advisor, as assigned 

Qualifications, Knowledge, Skills, and Abilities:

Education:

  • Bachelor's degree required; focus in Computer Science, Technology, Engineering, Mathematics (STEM), Finance, or Accounting, preferred

Experience:

  • Six (6) or more years of experience in a data engineer or related role, required
  • Hands-on experience architecting, building, and optimizing large-scale relational (e.g., SQL Server, PostgreSQL, Oracle) and non-relational (e.g., CosmosDB, MongoDB, Cassandra, DynamoDB) databases to support both OLTP and OLAP workloads, preferred
  • Experience writing and optimizing complex queries, stored procedures, functions, and triggers using SQL and comparable languages for high-volume transactional systems and analytical platforms, preferred
  • Data Definition Language (DDL) and Data Manipulation Language (DML), with experience developing and maintaining database objects (tables, views, indexes, partitions) at scale, preferred
  • Experience with data modeling principles, including normalization, denormalization, star and snowflake schema design, and semantic layer construction for enterprise data warehouses and data lakes, preferred
  • Experience with design and implement ETL/ELT pipelines using modern data engineering frameworks and tools (e.g., Apache Spark, Databricks, Airflow, Talend, Informatica), preferred
  • Experience implementing data governance, data quality, and data security best practices in large, distributed environments, preferred
  • Tax experience, preferred
  • Public accounting experience, preferred

License/Certifications:

  • Microsoft Azure Data Engineer, preferred

Software:

  • One or more programming languages such as Python, Java, C#, C++, or Scala, with a focus on data engineering applications, required
  • Experience with the following products, preferred:
    • Microsoft Office Suite
    • Microsoft Azure DevOps or GitHub 
    • Microsoft SQL Server and/or Azure SQL DB

Other Knowledge, Skills, & Abilities:

  • Ability to work well in hybrid and remote environments
  • Solid verbal and written communication skills 
  • Strong interpersonal and customer relationship skills, including training/instruction with professionals at all levels
  • Sound decision-making skills
  • Ability to work in a deadline-driven environment while handling multiple complex projects/tasks simultaneously with a focus on details
  • Capable of successfully multi-tasking while working independently or within a group environment
  • Ability to rely on extensive experience and judgment to plan and accomplish goals
  • Capable of working well under pressure while dealing with unexpected problems in a professional manner
  • Ability to communicate and interact with all levels of employees and management

Individual salaries that are offered to a candidate are determined after consideration of numerous factors including but not limited to the candidate’s qualifications, experience, skills, and geography.


National Range: $140,000 - $210,000
Maryland Range: $140,000 - $210,000
NYC/Long Island/Westchester Range: $140,000 - $210,000


At BDO, how we show up matters. We build strong relationships by supporting one another, our clients, and our communities with care, curiosity, and a commitment to helping one another grow and succeed. Here, you’ll find meaningful work, leaders invested in your success, and opportunities to build a career around what matters most to you.

Our purpose is to be the people our clients count on to grow with confidence and achieve what matters most. Our values guide how we bring that purpose to life each day. Together, they shape how we work with one another, serve our clients, and create meaningful impact.

BDO provides assurance, tax, and advisory services to clients across the U.S. and around the world. No matter your role, you’ll be part of a team helping clients navigate complexity and move forward with clarity.

We are proud to be an ESOP company, offering participants a stake in the firm’s success through beneficial ownership and a unique opportunity to enhance their financial well-being. As a qualified retirement plan, the ESOP is a meaningful addition to our comprehensive compensation and Total Rewards benefits* offerings. It also reinforces an ownership mindset that strengthens our connection to one another, our clients, and the future we’re building together.

Learn more about our benefits: BDO Total Rewards encompass more than traditional benefits. Click here to find out more!

*Benefits may be subject to eligibility requirements.

Equal Opportunity Employer, including disability/vets
Click here to find out more!

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