Infrastructure Data Analytics Engineer

Data Acquisition & Integration - Design and develop data ingestion processes from multiple sources, including: - Infrastructure monitoring platforms - CMDB and asset management systems - Cloud platforms (Azure, AWS) - Enterprise databases - SaaS and third-party technology platforms - Build and maintain scalable ETL/ELT pipelines to acquire, cleanse, transform, validate, and enrich data. The ideal candidate possesses strong technical skills in SQL, Python, Alteryx, API integration, and data transformation while adhering to software development lifecycle (SDLC) practices, including source code management, testing, deployment, and release management.

Bank, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at—all from Day One. The Infrastructure Data Analytics Engineer is responsible for acquiring, transforming, integrating, and analyzing data from infrastructure, platform, cloud, and enterprise technology systems. This role combines data engineering, analytics, automation, and operational intelligence to provide actionable insights that support technology strategy, operational excellence, risk management, and executive decision making. The ideal candidate possesses strong technical skills in SQL, Python, Alteryx, API integration, and data transformation while adhering to software development lifecycle (SDLC) practices, including source code management, testing, deployment, and release management. Data Acquisition & Integration - Design and develop data ingestion processes from multiple sources, including: - Infrastructure monitoring platforms - CMDB and asset management systems - Cloud platforms (Azure, AWS) - Enterprise databases - SaaS and third-party technology platforms - Build and maintain scalable ETL/ELT pipelines to acquire, cleanse, transform, validate, and enrich data. - Integrate structured and unstructured data from disparate technology systems into centralized analytics platforms. - Automate recurring data collection and processing activities. Data Engineering & Transformation - Develop complex SQL queries, stored procedures, views, and data models. - Create Python-based solutions for: - Data extraction - Data transformation - Data quality validation - Design and maintain Alteryx workflows for data preparation, blending, and analytics automation. - Implement reusable transformation frameworks and standardized data processing patterns. - Perform data reconciliation and data quality assurance activities. Analyze infrastructure and operational data to identify: - Risks - Performance issues - Partner with infrastructure, engineering, operations, and leadership teams to support data-driven decision making. Develop API integrations between internal and external platforms. - Build automated workflows that reduce manual effort and improve data timeliness. - Support near real-time and batch data processing requirements. - SDLC, DevOps & Release Management - Follow established Software Development Lifecycle (SDLC) methodologies including Agile delivery practices. - Maintain source code in approved repositories (GitHub, GitLab, Azure DevOps, etc.). - Develop and maintain CI/CD deployment pipelines. - Create and maintain technical documentation, runbooks, and deployment procedures. - Participate in release planning, change management, testing, and production deployments. - Ensure appropriate version control, auditability, and governance of analytics assets and code. - Ensure adherence to enterprise data governance, security, and compliance requirements. - Maintain data lineage and metadata documentation. - Implement controls for data quality, access management, and operational resiliency. - Support regulatory and audit requests related to analytics solutions. Bachelor's degree in a related field, or equivalent work experience - Five to seven years of statistical and/or data analytics experience Experience analyzing infrastructure, cloud, or operational technology data. - Experience with Power BI, Tableau, or similar visualization platforms. - Experience with Azure, AWS, Databricks, Snowflake, or enterprise data platforms. - Knowledge of Infrastructure Observability and Monitoring platforms (Datadog, Splunk, Dynatrace, ServiceNow, etc.). - Understanding of data governance, metadata management, and data quality frameworks. - Experience supporting enterprise-scale transformation or modernization programs. Programming & Analytics - SQL (Advanced) - Python - Power BI - Excel Data & Integration - JSON / XML - Data Modeling - Data Quality Management DevOps & SDLC - GitHub / GitLab / Azure DevOps - CI/CD Pipelines - Agile & Scrum Methodologies AWS - Windows Server - Linux - Networking Fundamentals - CMDB / Asset Management - Infrastructure Monitoring Platforms Bank location three (3) or more days per week. If there’s anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Healthcare (medical, dental, vision) - Basic term and optional term life insurance - Short-term and long-term disability - Pregnancy disability and parental leave - 401(k) and employer-funded retirement plan - Up to 11 paid holiday opportunities - We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.Citizenship and Immigration Services. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.5c143e31-5e48-4549-b638-05792d185386