AI Data Engineer/Visualization Engineer

We are seeking a motivated and detail-oriented AI Data Engineer & Data Visualization Engineer to support the design, development, and maintenance of data solutions that enable AI, machine learning, and analytics initiatives.

This role will work closely with data engineers, data analysts, and business stakeholders to develop reliable data pipelines, prepare datasets, and create substantial visualizations that support business insights and operational decision-making., * Assist in designing and developing ETL/ELT processes to support data integration and AI/ML workflows.

• Build and maintain data pipelines for structured and unstructured data, ensuring data quality, consistency, and availability.
• Support the implementation and maintenance of cloud-based data solutions using platforms such as AWS, Azure, or GCP.
• Collaborate with cross-functional teams to prepare datasets for analytics, machine learning model training, and inference activities.
• Analyze historical migration and operational data to identify trends, patterns, and opportunities for process improvement.
• Develop and maintain Power BI dashboards and reports that provide visibility into migration health, implementation status, and key performance metrics.
• Integrate data from multiple sources to create accurate and actionable visualizations for business stakeholders.
• Perform data validation, quality checks, and troubleshooting to ensure data reliability and accuracy.
• Document data processes, workflows, and technical solutions to support knowledge sharing and operational excellence.

The Client Enablement Tools Team plays a critical role in ensuring the quality and scalability of migration processes and implementations. The ideal candidate will have a degree in Computer Science or a related field and hands-on experience working with data engineering, analytics, and visualization technologies., * Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field.

• 2-4 years of experience in data engineering, business intelligence, analytics, or a related role.
• Working knowledge of SQL and Python for data processing and analysis.
• Experience with Power BI, including report and dashboard development.
• Familiarity with cloud platforms such as Azure, AWS, or GCP.
• Understanding of data warehousing, ETL processes, and data modeling concepts.
• Exposure to AI/ML projects or machine learning workflows is a plus. Knowledge of vector databases and LLM pipelines is a plus.

Soft Skills

• Outstanding problem-solving and analytical thinking.
• Strong communication and collaboration abilities.
• Ability to work in a fast-paced, cross-functional team environment.

At Fidelity, we are passionate about making our financial expertise broadly accessible and effective in helping people live the lives they want! We are a privately held company that places a high degree of value in creating and nurturing a work environment that attracts the best talent and reflects our commitment to our associates. We are proud of our diverse and inclusive workplace where we respect and value our associates for their unique perspectives and experiences. For information about working at Fidelity, visit FidelityCareers.com. Fidelity Investments is an equal opportunity employer. Fidelity will reasonably accommodate applicants with disabilities who need adjustments to complete the application or interview process. Fidelity TalentSource, is the in-house temporary staffing provider for Fidelity Investments. Unlike traditional staffing agencies, we are an internal business unit within Fidelity's Talent Acquisition team, dedicated to recruiting talent from various backgrounds for roles in Fidelity's regional and investor center locations. Our mission is to help you experience Fidelity's diverse and inclusive workplace while expanding your skill set and professional network, with the ultimate goal of conversion to full-time employment as part of Fidelity's long-term strategy.