Data Engineer

Encore Fire Protection•Needham, MA

2d•Hybrid

About The Position

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.

Requirements

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 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.

Nice To Haves

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).

Responsibilities

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 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 assistant s, 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.