> Markdown version of [/jobs/ext/1890748-bi-engineer](https://www.wearedevelopers.com/jobs/ext/1890748-bi-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # BI Engineer - **Company:** Dynasty Financial Partners, LLC - **Location:** United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Information Engineering, Python (Programming Language), Power BI, Data Strategy, Data Lakes, Data Management, GPT, Databricks - **Published:** August 2, 2026 - **Apply:** https://www.dice.com/job-detail/57fd8e23-ac5e-473b-8321-78abff798795 ## About the Role What You Bring * 3+ years of experience in a similar analytics, business intelligence, or analytics engineering role. * Expert-level Power BI skills. You can build a full data model, write clean DAX, and design reports that are fast, accurate, and genuinely useful, not just charts on a page. * Excellent communication skills, and the ability to understand what answers the Product team and the business are trying to get out of the data. * Hands-on knowledge of data lake technology and how to work with data at scale. * Strength in deep analytics, not just reporting. * A fast learner who picks up new tools and platforms quickly and enjoys doing so. * Ability to own and deliver several analytics workstreams at once, on time. * A self-starter and team player who uses data to think creatively about business problems. * Relevant BA/BS degree, or equivalent hands-on experience. * Familiarity with AI tools such as ChatGPT, Claude, or Copilot. Nice to Have * Experience with Databricks. * Knowledge of the wealth management or broader financial services industry. * Experience with Python or other scripting for data work. ## Description * Own the analytics product from an engineering perspective and be accountable for its delivery. * Work hands-on with our data lake platform to model and shape data into clean, reliable, reusable datasets, and to power deep analytics. * Build Power BI data products (data model, DAX, and performant reports) that Product and the business rely on. * Partner closely with data engineers and the Product team to understand the questions they need answered and deliver the analytics behind them. * Turn one-off requests into repeatable, production-quality data products that improve accuracy, efficiency, and self-service. * Collaborate with the team to build the analytics platform of the future, assessing and bringing in new tools as the platform evolves., * Own the analytics product end to end and be accountable for its delivery. * Ship production-quality Power BI and data-lake-backed analytics that Product and the business rely on day to day. * Partner with data engineering and Product to shape and deliver the analytics roadmap. Why Dynasty You will join a small, high-impact team at the center of Dynasty's data strategy, owning a product that matters and helping build the analytics platform of the future. You will learn and apply agile practices that support fast, high-quality delivery, and you will do it alongside smart, collaborative people in a positive environment. We believe that when good people work well together, they build something special., EQUAL EMPLOYMENT OPPORTUNITY: Dynasty Financial Partners is committed to providing equal employment opportunities and ensuring that all employment-related decisions are made without regard to race, color, sex, age, national origin, religion, physical or mental disability (unrelated to the ability to perform job duties) veteran status, or any other protected status under applicable law. ## Related Videos - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [REST, GraphQL, gRPC, and more: A comparison of modern API styles](https://www.wearedevelopers.com/videos/100247-rest-graphql-grpc-and-more-a-comparison-of-modern-api-styles) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [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) - [Python Data Visualization @ Deepnote (w/ PyViz overview)](https://www.wearedevelopers.com/videos/113-python-data-visualization-deepnote-w-pyviz-overview) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-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) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)