Senior Data Engineer

Capital Bank, N.A.

Senior Data Engineer managing and optimizing data pipelines and database solutions for Capital Bank. Collaborating across business lines with a focus on scalable and secure data platforms.

Posted 5/6/2026full-timeRemote • District of Columbia, Florida, Illinois, Maryland, North Carolina, Pennsylvania, South Carolina, Virginia • 🇺🇸 United StatesSenior💰 $115,000 - $130,000 per yearWebsite

Tech Stack

Tools & technologies

Amazon RedshiftAzureBigQueryCloudETLTableau

About the role

Key responsibilities & impact

Serve as the expert for ETL and DB solutions, collaborating with business stakeholders and IT teams to define requirements, gather data, and implement optimized data solutions.
Design, implement, and maintain data systems in Snowflake to ensure data scalability and accessibility.
Implement and manage data lakes and data warehouses, creating pipelines and data models to enable efficient analytics and reporting.
Establish and document strategies for managing data transfer processes, including secure file transfers (SFTP), batch data processing, and real-time streaming.
Build and optimize ETL pipelines for data extraction, transformation, and loading into operational databases or analytical platforms.
Integrate and support data visualization tools such as Power BI, Sisense, Google Looker, Tableau, or similar platforms to enable actionable insights for business stakeholders.
Develop and maintain optimized data models for dashboards and reporting, ensuring compatibility with visualization tools.
Plan, coordinate, and implement database migrations, upgrades, and patches with minimal downtime.
Define and enforce database governance policies, including data integrity, security, and compliance with regulatory requirements.
Analyze and resolve database performance issues by optimizing queries, indexes, and schema designs.
Partner with vendors to evaluate, select, and implement database tools, services, and technologies; stay informed about product roadmaps and industry trends.
Develop disaster recovery and high-availability solutions, including replication, clustering, and failover.

Requirements

What you’ll need

Bachelor’s degree or higher in Computer Science, Information Systems, or a related field.
6+ years of experience in data engineering, ETL, database management with experience in cloud-based databases and financial services preferred.
Experience in Database Administration (DBA), managing and optimizing databases for performance and security.
3+ years of experience designing and building data lakes and data warehouses using platforms like Azure Fabrik, Snowflake, Amazon Redshift, or Google BigQuery.
2+ years of experience using data visualization tools like Power BI, Sisense, Google Looker, Tableau, or similar platforms.
Experience with managing data transfers and file processes, including SFTP, secure data pipelines, and real-time or batch data movement.
Experience in proactively identifying, addressing, and monitoring data quality issues, adhering to established data quality standards.
Excellent communication skills and the ability to collaborate effectively across teams and stakeholders, explain technical concepts to non-technical stakeholders.

Benefits

Comp & perks

Comprehensive benefits package including Medical, Dental, Vision, Company Paid Life Insurance, Disability Insurance, and more!
Company Contributions to your 401k - Regardless of your contribution
Employee Perks: Paid Parental Leave, Employee Recognition Program, Leadership Program, Tuition Reimbursement Program, Employee Bank Checking Account, and much more!
Generous Paid Time Off and Paid Holidays – Including Paid Charity Hours to support volunteer opportunities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

ETLdatabase managementdata engineeringdata modelingdata warehousingdata lakesdatabase administrationdata extractiondata transformationdata loading

Soft Skills

communicationcollaborationproblem-solvinganalytical thinkingstakeholder engagementtechnical explanation