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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. Analytics Engineer (Snowflake, MS Fabric) - **Company:** The Safety Chain Consulting Services LLC - **Location:** Grapevine, TX, United States - **Experience:** Expert - **Salary:** $150,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Software Documentation, Information Engineering, Data Governance, Data Sharing, Dimensional Modeling, Performance Tuning, Raw Data, Power BI, SQL Databases, Systems Integration, Tableau (Software), Enterprise Software Applications, Large Language Models, Snowflake, Data Layers, Microsoft Fabric, Data Lineage, Operational Systems, Machine Learning Operations, Data Pipelines - **Published:** May 22, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=a0c167fcc8763403 ## About the Role Do you have experience in Software documentation?, * 7+ years in analytics engineering, data engineering, or BI-with hands-on experience building production-grade reporting systems. * Deep expertise with Microsoft Fabric (OneLake, Data Factory, Power BI integration) and/or Snowflake (warehousing, data sharing, performance tuning). * Strong data modeling skills-dimensional modeling, semantic layers, and metric frameworks. * Experience building dashboards and reports for operational or enterprise users using Power BI, Tableau, or similar. * Proficiency in SQL; experience with Python for data transformation or analysis is a strong plus. * Familiarity with dbt or similar transformation frameworks. * Ability to design clean data contracts between source systems and analytics consumers. * Experience with data governance, lineage tracking, and documentation practices. ## Description SafetyChain is building the next generation of enterprise software for the food & beverage supply chain-and the analytics layer is central to that vision. We're looking for a Senior Analytics Engineer to own the reporting and insights infrastructure that helps plant operators, quality managers, and executives make faster, better decisions. This role sits at the intersection of data engineering, BI, and applied AI-and you'll help define what "great analytics" looks like at SafetyChain., You'll own the design and delivery of SafetyChain's analytics and reporting capabilities-from raw data to production dashboards to predictive insights. This includes: * Architecting and managing analytics infrastructure across Microsoft Fabric and Snowflake, including lakehouses, warehouses, and semantic layers. * Building reliable, well-modeled data pipelines that serve both operational reporting and exploratory analysis. * Designing and delivering dashboards and reports that give plant operators and business leaders clear, actionable visibility into their operations. * Defining data models, metrics, and KPIs in close partnership with Product, Customer Success, and domain experts. * Identifying opportunities to apply AI and ML to analytics use cases-predictive quality trends, anomaly detection, LLM-assisted data summarization, and more. * Establishing standards for data quality, governance, and documentation that scale as the platform grows. * Partnering with engineering teams to ensure clean data contracts between operational systems and the analytics layer. * Contributing to an "office-first when collaboration matters" culture that values high-bandwidth problem solving and clear ownership. What You Bring You don't need to be a specialist in every tool in the stack-but you must be the kind of engineer who thinks in systems, communicates in outcomes, and builds things that last., We're not hiring a data scientist-but we want someone who can recognize where AI creates leverage in an analytics context and partner with our AI/ML team to implement it. This might include: * Integrating predictive models into reporting workflows (e.g. flagging at-risk batches, forecasting yield). * Using LLMs for natural language querying, automated insight generation, or data summarization. * Working with ML pipelines to ensure clean feature data and interpretable outputs. ## Related Videos - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [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) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [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) - [Hacking AI at the Edge of the Indian Ocean](https://www.wearedevelopers.com/videos/100177-hacking-ai-at-the-edge-of-the-indian-ocean) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [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) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [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)