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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Data Engineer/Visualization Engineer - **Company:** FIDELITY LLC - **Location:** Westlake, TX, United States - **Experience:** Experienced - **Contract:** Temporary contract - **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Cloud Computing, Cloud Database, Information Systems, Data Validation, Information Engineering, Data Integration, Data Integrity, Extract Transform Load (ETL), Data Warehousing, Document-Oriented Databases, Machine Learning, Operational Data Store, Power BI, Standard Sql, Unstructured Data, Large Language Models, Information Technology, Machine Learning Operations, Data Pipelines - **Published:** July 23, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=876667af0c0f21b0 ## About the Role 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. ## Description 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. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [How building an industry DBMS differs from building a research one](https://www.wearedevelopers.com/videos/768-how-building-an-industry-dbms-differs-from-building-a-research-one) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)