[Remote] Senior Data Engineer

Note: The job is a remote job and is open to candidates in USA. Kimedics is transforming workforce management in healthcare with a modern platform aimed at improving operational efficiency. The Senior Data Engineer will be responsible for owning the data infrastructure, including pipelines and data quality practices, to support product teams and enhance reporting capabilities.ResponsibilitiesOwn the v1-to-v2 customer data migration: extract, transform, validate, and load with full auditability and a reusable runbook that becomes the pattern for all future migrationsBuild and maintain the core pipeline infrastructure using dbt, Azure Data Factory, and Fabric structured around raw, staging, and conformed data zones in Azure SQL and other Azure data storageEstablish schema review as part of the product development process, so data consequences are considered before a feature ships, not afterDefine and enforce data modeling standards and naming conventions across product teamsBuild data quality checks and pipeline observability into Azure Monitor alongside existing application alertingPartner with the BI developer to maintain clean, tested dbt models that PowerBI reports build on directlyMaintain lightweight data contracts and documentation for every table used downstreamBuild the data infrastructure that supports AI-powered product features as they ship: embedding pipelines, vector index refresh jobs, and feature tables for ML workloadsContribute to the platform by building and supporting data products alongside the broader platform teamSkillsBachelor's Degree in Computer Science, related technical field, or equivalent practical experience, required4-6 years of professional software engineering experienceProven experience independently delivering complex features from design through production deploymentExperience working with distributed systems, APIs, data pipelines, or cloud infrastructure at production scaleExperience providing meaningful code review feedback and beginning to mentor junior engineersStrong SQL and dbt experience, including building tested, documented models in a production environmentHands-on experience with Azure data services: Azure SQL, Azure Data Lake Storage, Azure Data Factory, and FabricComfort with Python for scripting and pipeline work (not data science, just reliable automation)Software engineering practices as defaults: version control, code review, CI/CD for data pipelines, not just for application codeExperience with schema design and data modeling, not just moving data between systemsAwareness of how AI features create upstream data requirements: embeddings, vector stores, feature engineering, and the operational difference between data shaped for analytics and data shaped for model trainingStrong communication with product and engineering teams. A significant part of this role is upstream influenceSnowflake experience is a nice to haveBenefitsFull benefits package with Medical, Dental, Vision, 401k, and moreCompany OverviewKimedics is a workforce management platform for healthcare organizations. It was founded in 2018, and is headquartered in Louisville, Kentucky, USA, with a workforce of 11-50 employees. Its website is https://www.kimedics.com.