**Senior Data Engineer – Unosquare** **About Unosquare** At **Unosquare**, we partner with global clients across diverse industries to build cutting\-edge digital solutions. Currently, we are supporting a **public American company based in Cambridge, Massachusetts** that develops, manufactures, and sells genomic analysis diagnostics for solid and circulating cancers. https://people.unosquare.com/ Their tests are based on **next\-generation sequencing technology**. Our teams work on several projects related to client\-facing applications and **REST APIs** that provide doctors, clinical staff, and researchers with insights to support cancer treatment. We achieve these project goals with technical stacks such as **.NET (C\#), JavaScript (Node/React), Java, SQL, AWS, and Docker**. **Job Description** **Summary** We are looking for an experienced **Senior Data Engineer** fluent in **T\-SQL and Azure Synapse**. You will design and build data pipelines, author Synapse notebooks, and make pragmatic technology trade\-offs between lake\-based and SQL database architectures. This role requires a strong foundation in **data analytics** and an operational understanding of **machine learning concepts** such as base models, time series forecasting, and generative models. Excellent task ownership and communication are essential. **Required Skills** * 5\+ years of hands\-on experience with **T\-SQL**. * Extensive experience with **Azure Synapse**, including Pipelines and Notebooks. * Ability to evaluate technology trade\-offs and recommend when to use lake vs. SQL databases. * Production coding experience in **Scala** or **Python**. * Knowledge of machine learning landscape: base models, time series methods, and generative models. * Strong **data analytics skills**, including trend analysis and extracting insights from time series data. * Excellent **task scoping and communication** skills. * Source control experience with **Git**, branching, and code review practices. **Preferred Skills** * Experience fine\-tuning or applying **base models** to real\-world problems. * Production pipelines for **time series forecasting** and related metrics. * Implementation or integration of **generative models** or Copilot\-style assistants. * Designing **lakehouse or Delta architectures** and hybrid lake \+ SQL solutions. * Familiarity with **Azure Synapse dedicated SQL pools** and **Serverless SQL pools**. * Experience with **CI/CD** for data pipelines and model deployment. * Previous work in **cross\-functional teams** with data scientists and product owners. Tipo de puesto: Tiempo completo Experiencia: * Azure: 3 años (Obligatorio) * Data Engineer: 4 años (Obligatorio) Idioma: * Inglés (Obligatorio) Tipo de puesto: Tiempo completo Experiencia: * Azure: 3 años (Obligatorio) * Data Engineer: 4 años (Obligatorio) Idioma: * Ingles (Obligatorio)