Data and Analytics Engineer, Corporate GenAI
Data and Analytics Engineer, Corporate GenAI
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Job Description
Visas Corporate Generative AI (CGAI) team is seeking an experienced Data Engineer to join our team. This role focuses on designing building and maintaining scalable data infrastructure and pipelines to support data visualization advanced analytics business intelligence and GenAI initiatives. The ideal candidate will have a strong background in data engineering cloud platforms automation and data visualization with a passion for enabling data-driven decision-making across the organization.
Essential Functions:
Data Engineering & Infrastructure
- Design develop and maintain robust ETL/ELT pipelines using modern data engineering tools and frameworks.
- Build and optimize data lakes and data warehouses.
- Ensure data quality consistency and security across all data platforms.
- Implement data governance best practices and scalable data models.
Data visualization and reporting
- Design and maintain interactive dashboards and executive-level reports using tools like Tableau and Power BI to deliver actionable insights and support strategic decision-making.
- Collaborate with stakeholders to define KPIs and translate complex data into clear visual narratives supporting GenAI-driven insights and business objectives.
- Provide visualizations of key product metrics such as product usage user adoption product maturity and customer satisfaction to guide product and customer strategy.
Cross-functional Collaboration
- Partner with architects analysts and business stakeholders to understand data needs and deliver engineering solutions.
- Support executive reporting and analytics by enabling reliable data access and transformation.
Performance Monitoring & Optimization
- Monitor data pipeline performance and implement improvements for scalability and reliability.
- Automate recurring data processes and reporting workflows to enhance operational efficiency.
Data Infrastructure & Optimization
- Develop scalable data pipelines and workflows using various data sources and platforms.
- Build and manage scheduled reporting systems to ensure timely delivery of recurring insights.
- Design and implement robust ETL/ELT processes to support analytics and GenAI use cases.
- Provide comprehensive high-level insights through dashboards tailored for leadership and executive stakeholders.
- Optimize data models and queries for performance reliability and maintainability.
- Ensure data quality consistency and security across all reporting and analytics solutions.
- Integrate data engineering solutions with BI tools and platforms.
- Collaborate with DevOps and cloud teams to manage infrastructure-as-code and CI/CD pipelines.
Continuous Improvement
- Monitor and analyze key metrics to support continuous improvement.
- Explore opportunities for automation and process enhancement in data reporting and analytics.
- Continuously evaluate and adopt new tools frameworks and best practices.
- Conduct root cause analysis and implement solutions to improve data reliability.
- Participate in code reviews and knowledge-sharing sessions.
Qualifications :
Basic Qualifications
- 5 years of relevant work experience with a Bachelors Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters MBA JD MD) or 0 years of work experience with a PhD OR 8 years of relevant work experience.
Preferred Qualifications
- Proficient with data lakes and warehouses (e.g. Snowflake BigQuery Redshift)
- Strong skills in data modeling ETL/ELT pipelines and data governance
- Experience building automated data pipelines and reporting systems for BI and GenAI use cases
- Expertise in BI tools (e.g. Tableau Power BI) and data transformation tools (e.g. Tableau Prep Power Query DAX M)
- Familiarity with low-code platforms automation tools and API integrations
- Understanding of GenAI concepts LLM tools prompt engineering and supporting infrastructure
- Experience with real-time data processing (e.g. Kafka Spark Streaming)
- Knowledge of vector databases semantic search and embedding models
- Familiarity with CI/CD pipelines infrastructure-as-code and containerization (e.g. Docker Kubernetes)
- Proficiency in Agile methodologies and tools (e.g. JIRA)
- Understanding of data security encryption and compliance standards
- Ability to work with structured semi-structured and unstructured data
- Strong communication and collaboration skills across cross-functional teams
Technical Skills
- Data Engineering & Analysis: Proficient in SQL and Python; experienced with data lakes warehouses ETL/ELT pipelines data modeling and governance; skilled in building automated data pipelines and reporting systems.
- Visualization & Reporting: Advanced in BI tools like Tableau Power BI and ; familiar with data transformation tools (e.g. Tableau Prep Power Query) and languages (DAX M).
- Platform Integration: Experienced with low-code platforms automation tools and integrating BI solutions with APIs and data services.
- GenAI & Automation: Knowledgeable in GenAI concepts LLM-powered tools prompt engineering and data infrastructure support for AI workflows.
Additional Information :
Work Hours: Varies upon the needs of the department.
Travel Requirements: This position requires travel 5-10% of the time.
Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk communicate in person and by telephone frequently operate standard office equipment such as telephones and computers.
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race color religion sex national origin sexual orientation gender identity disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law including the requirements of Article 49 of the San Francisco Police Code.
U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 124700.00 to 180650.00 USD per year which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge skills experience and location. In addition this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical Dental Vision 401 (k) FSA/HSA Life Insurance Paid Time Off and Wellness Program.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
