About Us
Capital Bank N.A. is headquartered in Maryland and has been serving our communities since 1999. We stand as a publicly traded company (NASDAQ: CBNK) with over $3 billion in assets. We offer commercial and consumer banking services to clients primarily in Maryland, DC, and Northern Virginia, alongside two nation-wide lending brands; Capital Bank Home Loans and OpenSky, a credit card division that offers and services credit cards across all states. Our personalized approach to banking, paired with cutting-edge technology solutions and a comprehensive suite of products and services, fuels our growth, and enables us to support our customers at every stage in their financial journey.
Come join a bank where our employees thrive and are engaged in meaningful work. For the last 6 out of 7 years, Capital Bank was named one of the "Best Banks to Work For" in the U.S. by American Banker.
Position Purpose
As part of the Technology team, the Senior Data Engineer will act as a subject matter expert (SME) responsible for managing, designing, and optimizing enterprise data pipelines and database solutions that support all lines of business at Capital Bank, including our Commercial Bank, Consumer Card division, and Mortgage division. This role owns end-to-end delivery and operations across our primary technology stack (Azure, SQL Server, and Snowflake), ensuring scalable, secure, and high-performance data platforms, reliable integrations with enterprise systems, and strong data governance. The Senior Data Engineer will build and optimize ETL/ELT processes, data lake and data warehouse solutions, and data transfer/file processing workflows to enable trusted analytics and reporting across the bank.
Position Responsibilities
- 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.
Minimum Education & Experience
- 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.
Technical Knowledge and Skills
- Expertise in cloud-based database platforms, such as Azure SQL, Amazon RDS, Google Cloud Spanner, and Snowflake.
- Strong knowledge of data lake and data warehouse architectures, including designing efficient schemas, partitioning strategies, and optimizing storage.
- Proficiency with data integration tools and technologies, such as Apache Kafka, Apache Spark, Talend, or Informatica.
- Hands-on experience building and maintaining ETL pipelines to support large-scale data environments.
- Advanced SQL skills and familiarity with programming languages like Python or Java for data manipulation and automation.
- Experience with data visualization platforms, including building and optimizing dashboards using Sisense, Power BI, Google Looker, Tableau, or similar tools.
- Experience with CI/CD tools (e.g., GitLab, Azure DevOps, Jenkins) and data pipeline monitoring tools (e.g., Airflow, Apache NiFi, Azure Data Factory).
- Strong understanding of database security best practices, including encryption, access controls, and compliance with regulatory standards.
- Ability to manage data file transfers and processing workflows effectively.
- Experience with database monitoring and performance tuning in cloud and hybrid environments.
- Preferred experience in understanding data relationships, as well as developing and optimizing SQL queries, stored procedures, and database functions in both OLTP and OLAP systems
- Strong organizational and problem-solving skills in Agile or fast-paced environments.
Compensation
- Base Salary Range: $115,000 - $130,000 annually. Final determination of where you are at in the salary range is based on numerous factors such as geographical location, relevant experience, skill set, education, and ability to meet qualifications within the job description.
- Additional Compensation: This role will include a yearly annual target bonus based on individual performance.
Working Arrangements
- This is a 100% remote role.
- We are currently hiring only within our core locations which include Maryland (MD), District of Columbia (DC), Virginia (VA), Pennsylvania (PA), Delaware (DE), Indiana (IN), Illinois (IL), South Carolina (SC), North Caroline (NC), Florida (FL).
Why Join Us?
- Join a growing company with a culture that fosters an entrepreneurial spirit
- 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
Supporting Businesses. Helping People. Strengthening Communities.
Capital Bank, N.A. is an E-Verify, Affirmative Action and Equal Opportunity Employer.
6+ years in data engineering; Azure/Snowflake; ETL/ELT; data lakes/warehouses; SQL; Python/Java; BI tools; data transfers; governance.
Key Responsibilities
- Design pipelines
- Build ETL
- Integrate dashboards
Skills & Tools
Azure, Snowflake, SQL Server, Power BI, Sisense, Tableau, Looker, Kafka, Spark, Talend, Informatica, GitLab, Azure DevOps, Jenkins, Airflow, NiFi, Python, Java
Job Details
- Category: Data and Analytics
- Seniority: Senior Level
- Commitment: Full Time
- Workplace: Remote — United States
- Salary: USD 115,000 – 130,000 / year
- Languages: English
Benefits
- 401k matching
- Generous paid time off
- Tuition reimbursement
- Retirement plan
- Generous parental leave
About Capital Bank, N.A.
Banking and financial services company. — Industry: Finance