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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Encore Fire Protection - **Location:** Needham, MA, United States - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, JIRA, Microsoft Azure, Big Data, Cloud Engineering, Databases, Continuous Integration, Information Engineering, Data Infrastructure, Data Integration, Data Integrity, Extract Transform Load (ETL), Data Systems, Data Visualization, Data Warehousing, Relational Databases, Cursor (Graphical User Interface Elements), Database Queries, DevOps, Python (Programming Language), Machine Learning, Microsoft SQL Server, MySQL, Power BI, Tensorflow, Azure Machine Learning, SQL Databases, Tableau (Software), Cloud Platform System, GitHub Copilot, Delivery Pipeline, Large Language Models, Snowflake, Prompt Engineering, Kubernetes, Information Technology, Data Analytics, Machine Learning Operations, Data Pipelines, Docker, Databricks - **Published:** May 15, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=f9585bb14bb3c50d ## About the Role Do you have experience in Database software proficiency?, * Bachelor's or Master's degree in Computer Science, Engineering, or related field. * Proven experience in data engineering, with a strong understanding of ETL, ELT, and staging processes, data warehousing, and big data technologies. * Proficiency in programming languages such as Python and SQL, including experience using AI-assisted development tools (e.g., GitHub Copilot, Cursor, or similar). * Experience with cloud-based data platforms (AWS, Azure, Snowflake) and tools, including familiarity with cloud-native AI/ML services. * Strong SQL skills and experience with relational databases (MS SQL, Snowflake, MySQL). * Working knowledge of machine learning concepts and the data infrastructure required to support model training, deployment, and monitoring. * Excellent problem-solving skills and the ability to work independently and collaboratively in a fast-paced environment. * Strong communication skills and the ability to convey complex technical concepts - including AI-related topics - to non-technical stakeholders. What makes you stand out * Hands-on experience building or maintaining data pipelines that support machine learning or AI model workflows (feature stores, model registries, inference pipelines). * Experience with AI/ML frameworks or platforms (e.g., SageMaker, Azure ML, Databricks, MLflow). * Experience with data visualization tools (Tableau, Power BI) and data modeling. * Familiarity with LLM APIs and prompt engineering for internal tooling or automation use cases. * Familiarity with DevOps practices and tools (Docker, Kubernetes, CI/CD pipelines, Jira). ## Description Our goal is to deliver superior experience to those who trust us to safeguard what matters most. We are passionate about continuous growth, innovation, and maintaining a culture that thrives on success and commitment to safety. Our mission? To be the best fire protection company the industry has ever seen. The Opportunity: At Encore, we focus on leveraging data to drive business insights and innovation. Our team is dedicated to creating dynamic and innovative solutions that transform raw data into actionable intelligence and applications. We are looking for a passionate and innovative Data Engineer to join our dynamic team and help us shape the future of data analytics., * Design, develop, and maintain scalable data pipelines and architectures to support data integration, transformation, and loading (ETL, ELT) processes, including pipelines that feed AI and machine learning models. * Collaborate with data analysts, data scientists, and other stakeholders to understand data requirements and deliver high-quality data solutions * Implement data quality checks and ensure data integrity across various data sources, with particular attention to the clean, structured datasets required for reliable model training and inference. * Optimize and tune data processing workflows for performance and efficiency * Actively explore and apply AI tools, including large language models and code-generation assistants, to accelerate development, automate repetitive tasks, and improve documentation quality. * Develop and maintain documentation for data engineering processes and best practices, leveraging AI-assisted tooling where appropriate. * Stay current with the latest industry trends and technologies in data engineering, analytics, and applied AI, and bring forward ideas for how emerging capabilities can add value to Encore. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Collaboration Quantified: Lessons from Open Source Developer Networks](https://www.wearedevelopers.com/videos/1422-collaboration-quantified-lessons-from-open-source-developer-networks) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [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) - [Integrate your Cognitive Assistant with 3rd-party DBs and software](https://www.wearedevelopers.com/videos/249-integrate-your-cognitive-assistant-with-3rd-party-dbs-and-software) ## 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) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)