Data Engineer

About the role

Capital Bank is seeking an experienced Data Engineer to design, build, and maintain high‑quality data pipelines that support analytics and data‑science initiatives. The role blends technical development with close collaboration across business and analytics teams.

Key responsibilities

• Collect, blend, and transform data using ETL tools such as Informatica Data Integration and code (SQL, Python).
• Design, develop, optimize, and maintain data architecture and pipelines on IBM Netezza and other warehousing platforms.
• Create data products that enable analytics and data‑science teams to work efficiently.
• Evaluate, implement, and deploy emerging data‑engineering tools to improve team productivity.
• Partner with BI analysts and solutions architects to define technical architectures for strategic banking projects.
• Implement data models and structure data for BI‑ready consumption, performing aggregations across warehousing models.
• Act as a liaison between business units and source systems to improve data availability.
• Mentor and coach colleagues on data standards, governance, and best practices.

Required profile

• 3+ years of experience in data management, integration, modeling, optimization, or data quality.
• At least 1 year working in cross‑functional teams with business stakeholders.
• Bachelor’s degree in Computer Science or a related quantitative field.
• Strong problem‑solving abilities and a collaborative mindset.

Required skills

• Informatica Data Integration
• IBM Netezza
• SQL
• Python
• ETL development
• Data modeling
• Data warehousing
• Business Intelligence (BI) concepts