• Design, build, and maintain scalable data pipelines using Azure services (Data Factory, Synapse Pipelines, Databricks) • Implement data transformations and processing using Python, SQL, and Spark • Build and support data warehouse or lakehouse solutions in Azure Synapse or Microsoft Fabric • Lead data governance implementation using Microsoft Purview, including data cataloging, classification, lineage, and access policies • Support and advise clients on data governance frameworks, operating models, and best practices • Design and integrate Master Data Management (MDM) concepts, including reference data, golden records, and data ownership models • Partner with analytics, BI, and business stakeholders to deliver trusted, well-governed datasets • Monitor, optimize, and support data pipelines for performance, reliability, and cost

• Construir soluciones donde los datos fluyan de forma estructurada, confiable y escalable • Diseñar, desarrollar y mantener pipelines de datos, procesos de ingesta, transformación y orquestación en entornos de datos modernos • Colaborar con perfiles de plataforma, analítica, arquitectura y negocio

• Build batch and streaming ingestion pipelines • Design and structure data lakes and data warehouses • Create datasets optimized for machine learning (ML) • Implement embedding pipelines • Build vector indexing for RAG (Retrieval-Augmented Generation) • Ensure data quality, governance, and security • Optimize storage and processing costs • Collaborate with AI Engineers to design feature stores

Role Description Revecore is embarking on re-architecting and modernizing its core platform. The Data Technology at Revecore is empowering the business in unlocking new opportunities by integrating data and machine learning across our products and business functions. This team is composed of Data Engineering, Analytics Engineering, Data Science and Machine Learning (ML) Engineering specializations. The Senior Data Engineer will join the Technology function, solving complex data problems for the Revecore Data Platform. The ideal candidate is capable of contributing to platform, architecture, and automation best practices, while also diving deep into specific areas and finding the best path forward. You are expected to pave the path for the data teams around data ingestion, data pipelines and data operations. You will be responsible for building a modern data lakehouse platform that will transform Revecore and its capabilities. What You'll Do - Accountable for the implementation and quality of the data platforms (availability, reliability, resilience, security, etc.) and adherence to consistent standards for engineering excellence. - Improve the quality of the engineering practice, and the quality of the domain’s output. - Design and develop scalable, maintainable, and reliable data pipelines. - Work directly with other Data Engineers to understand their needs and develop tooling and automation to improve developer efficiency. - Monitor data systems and performance and look for ways to drive down our warehouse and infrastructure costs. - Proactively research and understand industry trends on various components of the data platform. Qualifications - Strong experience with Azure Cloud services is required, including hands-on work with Azure Synapse, Azure Data Lake Storage Gen2, Azure DevOps Pipelines, and Power BI. - Proven ability to design and build scalable ELT pipelines, data lakes, and data warehouse solutions using modern tools such as Snowflake, dbt, and Airflow. - Deep expertise in Python and SQL is required. - Strong proficiency in C#, with experience maintaining and enhancing complex, homegrown codebases used for data orchestration, transformation, file movement, and delivery. Familiarity with .NET Framework and .NET Core is essential. - Ability to bridge legacy systems with modern cloud-native architectures, contributing to platform modernization efforts. - Experience with Infrastructure as Code (e.g., Terraform, CloudFormation) and CI/CD best practices for data platforms. - Solid understanding of the data software development lifecycle (SDLC) and deployment automation workflows. - Bachelor’s or Master’s degree in computer science or equivalent experience. Requirements - A quiet, distraction-free environment to work from in your home. - A secure internet connection is required. - Home internet with speeds >20 Mbps for downloads and >10 Mbps for uploads. - The workspace area accommodates all workstation equipment and related materials and provides adequate surface area to be productive. Benefits - We offer paid training and incentive plans. - Our medical, dental, vision, and life insurance benefits are available from the first day of employment. - We enjoy excellent work/life balance. - Our Employee Resource Groups build community and foster a culture of belonging and inclusion. - We match 401(k) contributions. - We offer career growth opportunities. - We celebrate 12 paid holidays and generous paid time off. Company Description Revecore has been at the forefront of specialized claims management, helping healthcare providers recover meaningful revenue to enhance quality patient care in their communities. We're powered by people, driven by technology, and dedicated to our clients and employees. If you're looking for a collaborative and diverse culture with a great work/life balance, look no further.