Senior Data Engineer

Join Frazier & Deeter and be a part of a rapidly growing Top 50 accounting & advisory firm that has been repeatedly named a Best Firm to Work For, a Best Firm for Women and a Pacesetter firm among U.S. accounting firms. With several offices across the U.S., UK, and India, there is a spot for you!

We serve clients of all sizes across the United States and the globe, with a suite of services that grow every year. Our growth mindset and entrepreneurial environment translates into variety and opportunity for our people.

At Frazier & Deeter, we’re committed to training, mentoring, and developing our staff members. With our emphasis on Investing in Relationships to Make a Difference and a Firmwide Focus on Inclusion, we help each other grow in every aspect of life.

Job Summary:

Duties & Responsibilities:

• Design, build, and maintain trusted data foundations across financial, practice-management, tax, audit, advisory, CRM, and operational systems.
• Lead data migration planning and execution during mergers and acquisitions, including mapping, validation, reconciliation, and migration of active data.
• Design approaches for historical information, including data lake or warehouse structures where historical data should be retained outside transactional platforms.
• Develop and optimize ETL/ELT pipelines, data models, data quality checks, and integrations that support reporting, automation, and AI-enabled workflows.
• Partner with Business Analysts and practice teams to understand data meaning, source-system complexity, and required downstream use.
• Collaborate with AI Enablement Engineers to make trusted data available for automations, agents, reporting, triggers, and validation routines.
• Ensure data handling aligns with security, governance, privacy, and compliance expectations.

Education & Experience:

• 7+ years of hands-on data engineering experience.
• Advanced SQL, Python, ETL/ELT, data warehouse, data lake, and cloud data architecture experience.
• Proven experience leading data migrations or complex integrations across enterprise systems.
• Strong understanding of data quality, validation, reconciliation, governance, and source-of-truth design.
• Experience with Microsoft data platforms, AWS services, APIs, and integration patterns preferred.
• Ability to communicate complex data issues clearly to technical and non-technical stakeholders.

#LI - hybrid