Enterprise Data Tech Services Data Engineer

Job Description

Job Description

Summary :

The Enterprise Data Technology Services Data Engineer assists in the design, implementation, and maintenance of enterprise data platforms, infrastructure, and integration solutions. They contribute to initiatives involving data warehouses, data lakes, reporting environments, data pipelines, and emerging technologies such as AI and machine learning. Their role includes supporting the architecture of frameworks to manage data inflows and outflows, aiding in the onboarding of third-party integrated data warehouses, and collaborating with Data Quality and BI teams to enhance the accuracy, consistency, and usability of enterprise data. They help create curated, pre-aggregated datasets to enable persistent analytics and insights for reporting and dashboards, minimizing runtime processing. Throughout the development process, they document and catalog their work in alignment with the Software Development Life Cycle, while demonstrating strong teamwork, organization, communication, and time management skills. The ideal candidate is adaptable, accountable, and capable of managing multiple priorities while working effectively with development teams, technology groups, and key stakeholders.

Job Responsibilities :

Data Platform Engineering

• Assist in building and maintaining enterprise data assets across data lakes, warehouses, and reporting environments.
• Ensure platforms are scalable, secure, and performant through collaboration with infrastructure and architecture teams.
• Support the development, documentation, validation, and deployment of curated, pre-aggregated datasets to improve dashboard and reporting efficiency.
• Help maintain and optimize SSIS packages for reliable and efficient data ingestion and transformation.
• Create and manage access to datasets and content packs so business users can execute self-service reporting against these datasets.
• Work with users and team members at all levels for performance improvement and suggestions.
• Develop and maintain effective and productive working relationships with other departments and senior managers.
• Troubleshoot data issues to identify root causes and fixes.
• Perform validation to ensure the data's accuracy, quality, and completeness using SQL Server Management Studio, Oracle Developer Studio, Excel, Etc.
• Remain current in emerging technology trends, primarily related to the financial services industry.
• Identify, communicate, and resolve data quality and data reconciliation issues.

Data Integration and Pipeline

Cloud and Infrastructure Management

Data Governance & Quality Enablement

Self-Service Enablement

General Responsibilities

Job Requirements :

Preferred

Columbia Bank offers the following benefits :

Schedule :

This role is eligible for a hybrid schedule; 3 days in the office and 2 days' work from home based on business need.

Columbia Bank and its affiliates is an Equal Opportunity Employer, including individuals with disabilities and veterans.