Senior Data Engineer

CLA (CliftonLarsonAllen)•Nashville, TN

18h

About The Position

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. 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.

Requirements

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.
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.

Nice To Haves

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

Responsibilities

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.

Benefits

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
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.
Wellness at CLA Wellness is shaped by our promise to know you and help you. We create opportunities for our people to live well and be happy by focusing on their physical, financial, social, and emotional well-being.
Click here to learn more about CLA’s benefit offerings.