Data Engineer

Job Title: Data Engineer

Location: Charlotte, NC - fully onsite 5 days per week

Salary Range: $120,000 to $140,000 per year

*Permanent, direct hire opportunity - not open to 3rd parties*

Overview:

• This role focuses on designing, developing, and supporting modern data solutions across a cloud-based data stack. The ideal candidate is highly self-motivated, resourceful, and capable of building scalable data pipelines, frameworks, and full stack data applications leveraging Snowflake, Python, SQL, and modern DevOps practices.
  

Key Responsibilities:

• Design, build, and optimize robust data pipelines and workflow processes
• Develop and maintain scalable data models and warehouse architecture
• Create backend services and data-driven applications across the stack
• Implement and manage cloud-native data solutions leveraging Snowflake
• Write clean, efficient, and maintainable code in Python and SQL
• Establish and maintain automated testing practices for data systems
• Develop reusable components and frameworks to accelerate data engineering efforts
• Set up and support CI/CD processes using modern version control tools (e.g., GitHub)
• Deliver data visualization and reporting solutions using tools such as Power BI
• Monitor system performance and troubleshoot issues to ensure data accuracy and availability
  

Required Skills:

• Hands-on experience with Snowflake (typically 3+ years)
• Extensive experience with Python and SQL (generally 7+ years each)
• Proven background in full stack or backend-focused development
• Experience designing and optimizing data warehouse solutions
• Familiarity with automated testing and building engineering frameworks
• Experience working with CI/CD pipelines and version control systems
• Exposure to cloud platforms, with preference for Azure environments
• Bachelor's degree in a related field or equivalent professional experience
  

Preferred Skills:

• Experience with orchestration tools such as Dagster
• Familiarity with dbt for data transformations
• Knowledge of optimization tools like Gurobi
• Experience with data validation techniques and tooling
• Exposure to Retool or similar internal app platforms
• Familiarity with managed file transfer solutions (e.g., GoAnywhere)
• Experience building dashboards using Power BI and DAX
• Hands-on experience with Azure services (ADF, Synapse, Key Vault)
• Exposure to machine learning capabilities in Snowflake or use of R
• Experience with SQL Server and related tools (SSIS, SSRS)
• Background in financial services or similar regulated industries
• Experience working in Agile development environments
  

If interested in the role, please apply and email your most updated resume to Liam at Liam.Schmidt@oliverjames.com.