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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Analytics Engineer - **Company:** SunPower - **Location:** Orem, UT, United States - **Experience:** Experienced - **Salary:** $100,000.0 - $120,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Data Analysis, Information Engineering, Extract Transform Load (ETL), Data Transformation, Data Warehousing, Relational Databases, Dimensional Modeling, Python (Programming Language), PostgreSQL, Machine Learning, MongoDB, MySQL, NoSQL, SQL Databases, Data Processing, Large Language Models, Snowflake, Prompt Engineering, Git, Information Technology, Luigi, Cassandra, Data Management, Software Version Control, Programming Languages - **Published:** September 23, 2026 - **Apply:** https://www.careerjet.com/job/us82cf79d64fbb9ed8b0cfc42496394a5b/eaa ## About the Role * Educational Background: Bachelor's degree in computer science, Data Engineering, or a related field. * Experience: 3+ years of experience as an Analytics Engineer or in a similar role. * Strong Communication skills: Ability to work with technical and non-technical audiences to translate business requirements into data models. * Technical Proficiency: * Data Warehousing: Knowledge of data warehousing concepts and solutions (e.g., Redshift, Snowflake). * Data modeling: experience in modern data modeling practices, ideally dimensional modeling. * Programming Languages: Proficiency in SQL and a familiarity with Python. * Data Processing: Experience with ETL tools and frameworks (e.g., Apache Airflow, Luigi, DBT). * Database Management: Strong knowledge of relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra). * Version Control: Proficient with version control systems (e.g., Git). * Machine Learning: Understanding of machine learning concepts and experience working with data for ML model training. * AI: Familiarity and enthusiasm for bleeding-edge analytical enablement using tools such as Large Language Models and Prompt Engineering. ## Description Verisk is seeking an Analytics Engineer to help build the trusted data foundation that powers smarter decisions across the insurance ecosystem. In this role, you will partner with product, engineering, data science, and business stakeholders to design scalable data models, transform complex data into reliable analytical assets, and enable high-quality insights for reporting, machine learning, and AI-driven solutions. This is an opportunity to work at the intersection of data, technology, and insurance-turning raw information into governed, reusable, business-ready data products that help Verisk deliver speed, precision, and value to customers. Responsibilities: * Data Modeling: Research and work with business stakeholders to develop our data warehouse model. * Data Transformation: Clean, transform, and enrich data to create high-quality datasets suitable for analysis and machine learning. * Collaboration: Work closely with product teams, software developers, data scientists, and analysts to understand data needs and deliver innovative solutions. * Data Management: Ensure data accuracy, consistency, and reliability across all datasets. * Optimization: Optimize data processes for performance and scalability. * Documentation: Maintain comprehensive documentation of transformation logic and lineage. ## Related Videos - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [MySQL Protocol Features You Should Be Aware Of](https://www.wearedevelopers.com/videos/100267-mysql-protocol-features-you-should-be-aware-of) - [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) - [Branch your database like your code: How schema changes and pull requests go hand in hand](https://www.wearedevelopers.com/videos/350-branch-your-database-like-your-code-how-schema-changes-and-pull-requests-go-hand-in-hand) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [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) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)