Data Engineer

Job Description

Job Description

ComResource is looking for a Data Engineer.

We need someone to assist in calculating FDIC insurance at the customer and bank levels using traditional and modern data engineering tools. This role requires a technical professional who can also act as a subject matter expert (SME) for business logic around FDIC 370.

Responsibilities:

• Design, construct, install, test, and maintain data management systems.
• Build high-performance algorithms, predictive models, and prototypes.
• Ensure systems meet both business requirements and industry standards.
• Integrate modern data technologies into existing data structures.
• Develop processes for data mining, modeling, and production.
• Create custom software components and analytics applications.
• Research and propose new uses for existing data.
• Employ a variety of tools and languages to connect systems.
• Collaborate with data architects, IT, and data scientists to achieve project goals.
• Implement and update disaster recovery procedures.
• Recommend ongoing improvements for data reliability and quality.

Essentials:

• Technical degree or relevant work experience.
• Strong SQL skills—this is a SQL-heavy role.
• Experience with relational and non-relational databases (e.g., SQL, MySQL, NoSQL, Hadoop, MongoDB).
• Understanding of backend programming (e.g., Java, J2EE).
• Analytical mindset with strong communication skills.
• Business logic understanding for FDIC 370 compliance.
• Driven, curious, and positive attitude.

Desired:

• Experience with IBM DB2 and DataStage.
• Familiarity with modern data tools like Snowflake and DBT.

Req ID: CG45089758