Name
Senior Consultant, Data Engineer
Posting Title
Senior Consultant, Data Engineer
Date Published
Monday, August 11, 2025
Office
Analytics (Forvis)
Advertised Location
US-FL-Boca Raton, US-FL-Miami, US-FL-Orlando, US-FL-Tampa, US-GA-Atlanta, US-MO-Springfield, US-NC-Charlotte, US-NC-Raleigh, US-PA-Pittsburgh, US-TN-Nashville, US-TX-Austin, US-TX-Dallas, US-TX-Houston, US-VA-Tysons
Description & Requirements
What you will do:
- Engage with clients professionally and consistently to understand their needs, deliver effective solutions, and build trust.
- Work with Forvis Mazars Tax subject matter experts to design, develop, and implement integrated technology solutions that deliver value and efficiency to our clients.
- Assess clients' tax data strategy, systems, and datasets by exploring cloud and on-premise infrastructure and conducting meetings.
- Contribute to the design and development of tax data products, leading aspects of technical design.
- Conduct exploratory data analysis, develop predictive models, and create pipelines that generate reliable outputs for visualizations and applications.
- Set a high standard for quality and performance in code development, ensuring integration with CI pipelines through functional and unit testing.
- Take on leadership responsibilities in client projects as technical expertise grows.
- Provide training and mentorship to team members and interns as needed.
- Lead and support client engagement throughout all phases of the project lifecycle - including the implementation and support of the tools and products that we build.
Minimum Qualifications:
- Knowledge of cloud architecture, system design, and integration.
- Expertise in developing and deploying data models and products in production environments.
- Background in solution architecture, DevOps, or data engineering with platforms like Azure, AWS, or GCP.
- Strong proficiency in programming languages, such as C#, Python (Pandas, PySpark, and scikit-learn), etc..
- Experience with databases such as SQL and Spark-based platforms (Databricks, Fabric, Synapse).
- Comfort working with Git for Continuous Integration and Deployment (GitLab CI, Docker Compose).
- Strong command of data exploration and analysis in an open-source environment.
- Proven ability to develop and implement machine learning models and simulations.
Preferred Qualifications:
- Bachelor's degree in a Data & Analytics-related field (or equivalent experience), such as Data Science or Data Engineering
- Familiarity with corporate tax workflows and source data systems - including federal, state, local tax compliance reporting
- Experience with:
- Process mapping and identification of tax process automation opportunities
- Building and administering ETL procedures to connect a wide variety of data sources, including ERP (e.g. SAP, Oracle Netsuite, Microsoft Dynamics 365, Workday, etc.) and tax compliance systems (e.g. Avalara, Vertex, TR ONESOURCE/GoSystem, etc.)
- Monitoring tax data pipeline performance and automated data integrity controls
- Familiarity with Linux ecosystems, including Bash, SSH, virtualization, and automation
- Experience in data visualization tools such as Power BI or Tableau
- Strong problem-solving abilities, particularly in product development
- Motivation to drive business impact through data-driven strategies
- Comfort working with diverse stakeholders and teams
- Excellent written and verbal communication for cross-team collaboration
- Enthusiasm for learning and mastering new technologies in a fast-evolving environment
- Ability to travel occasionally
- Ability to support and engage with users of data and analytics products
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Forvis Mazars, LLP
Aug 15, 2025