Senior Data Engineer

CLA is a top 10 national professional services firm where our purpose is to create opportunities every day, for our clients, our people, and our communities through industry-focused wealth advisory, digital, audit, tax, consulting, and outsourcing services. Even with more than 8,500 people, 130 U.S. locations, and a global reach, we promise to know you and help you.

CLA is dedicated to building a culture that invites different beliefs and perspectives to the table, so we can truly know and help our clients, communities, and each other.

Our Perks:

• Flexible PTO (designed to offer flexible time away for you!)

• Up to 12 weeks paid parental leave

• Paid Volunteer Time Off

• Mental health coverage

• Quarterly Wellness stipend

• Fertility benefits

• Complete list of benefits here

CLA is growing and seeking to hire an experienced Senior Data Engineer to join our talented Information Technology team. The position offers growth, flexibility and a collaborative work environment.

This role partners closely with the Engineering Lead to create an environment where engineers can grow, collaborate, and deliver exceptional outcomes. They provide strong technical guidance and mentorship, ensuring solutions are scalable, high-quality, aligned with organizational goals, and meet requirements throughout each sprint cycle. In this role, they help drive measurable results and uphold delivery excellence across the engineering team.

How you'll create opportunities in this Senior Data Engineer role:

• Design and implement scalable data pipelines using Azure Databricks and Azure Data Factory.

• Ensure performance, reliability, security, and compliance in all data engineering solutions.

• Collaborate across teams to define technical direction and support platform-level decisions.

• Deliver high-quality, timely releases aligned with business goals, technical standards, and data governance policies.

• Drive improvements in system reliability, scalability, and maintainability through refactoring and documentation.

• Mentor and coach team members.

• Partner with leaders to align priorities, maintain standards, and support team growth.

• Actively participate in agile processes and recruitment efforts to strengthen the engineering team.

What you will need:

• 4 years of relevant experience required.

  • Cloud Engineering across Azure or AWS and Databricks experience required.

  • Experience designing and building enterprise data pipelines, databases/data warehouses, and system integrations (API's, ETL, or middleware).

• Bachelor's degree or a combination of relevant experience and training may be considered in lieu of a degree.

Certifications / Licenses:

• One or more of the following preferred:

  • Databricks Certified Data Engineer Associate

  • Databricks Certified Data Engineer Professional

  • AWS Certified Data Engineer - Associate

  • Google Certified Professional Data Engineer

  • Microsoft Certified: Azure Data Engineer Associate

Technical Competencies:

• Proficiency in Microsoft Outlook and Office products (Teams, Word, Excel, PowerPoint, etc.)

• Proficiency in programming software, such as, Python, Scala, Java, Spark, Snowflake, GitHub, and SQL required.

• Skilled in building efficient data processes, addressing technical debt, and producing clean, well-structured code

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Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

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Wellness at CLA

To support our CLA family members, we focus on their physical, financial, social, and emotional well-being and offer comprehensive benefit options that include health, dental, vision, 401k and much more.

To view a complete list of benefits click here.