Data Engineer

CLA (CliftonLarsonAllen)•Charlotte, NC

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. 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 Data Engineer to join our talented Information Technology team. The position offers growth, flexibility and a collaborative work environment. In this position you should have the following; excellent interpersonal skills with the ability to communicate at all levels. Strong problem solving and creative skills and the ability to exercise sound judgment. Most important, demonstrate a high level of integrity and dependability with a strong sense of urgency and results-orientation. The role oversees the data operations team responsible for managing, processing, and analyzing data to support organizational decision-making. They ensure data quality, integrity, and security while optimizing workflows and implementing best practices. This role is to define, design, develop, implement, and maintain the data assets and infrastructure used across the enterprise. They lead the progress of data standards, integration and quality initiates, storage, integration, and performance of data stores both for application and analytics purposes. They direct research and development in support of business cases, proposed projects, and system requirements over the course of the software development lifecycle. They apply proven analytical and problem-solving skills to help CLA take advantage of its data assessment to maximize CLA’s analysis and insight capabilities.

Requirements

2 years of relevant experience required
Experience with cloud engineering across Azure or AWS and Databricks required
Advanced proficiency in programming, such as, Python, R, Snowflake, GitHub, and SQL required.
Proficiency in data visualization tools such as Tableau, Power BI, matplotlib
Proficiency in data modeling and big data technologies such as Hadoop and Spark
Proficiency in data privacy regulations such as DGPR and CCPA
Familiarity with cloud platforms (Azure or AWS)
Clear understanding of data warehouse concepts and ETL processes.

Nice To Haves

Exposure to enterprise data pipelines, databases/data warehouses, and system integrations (APIs, ETL, middleware) preferred.
Bachelor's degree or a combination of relevant experience and training may be considered in lieu of a degree.
Technical Competencies Proficiency in Microsoft Outlook and Office products (Teams, Word, Excel, PowerPoint, etc.)

Responsibilities

Assist in building and maintaining data pipelines using Azure Databricks and Azure Data Factory.
Support efforts to ensure performance, reliability, security, and compliance in data engineering solutions.
Collaborate with team members to implement technical direction and contribute to platform‑level decisions.
Participate in delivering releases aligned with business goals, technical standards, and governance policies.
Contribute to improvements in system reliability and maintainability through documentation and code quality practices.
Participate in agile processes, including sprint planning, stand‑ups, and retrospectives.