[Remote] Data Engineer

Note: The job is a remote job and is open to candidates in USA. Sennos is rapidly emerging as the global leader in AI-driven sensing, analytics, and control for the Fluid, Fermentation, and Bio-manufacturing industries. The Data Engineer role focuses on building and maintaining data pipelines, implementing transformations, and contributing to a reliable Snowflake-based warehouse that powers analytics, reporting, machine learning, and product capabilities.ResponsibilitiesBuild and maintain ETL/ELT pipelines using SQL and Python under the guidance of senior data engineering leadershipDevelop and maintain transformations using dbt or similar tools within a Snowflake-based warehouseCreate and optimize datasets and views to support analytics, reporting, machine learning, and product feature developmentManage ad hoc data requests with accuracy and efficiency while maintaining data integrity and consistencyImplement and maintain data quality checks, validation rules, and testing processes to ensure reliability and trust in warehouse dataSupport the enforcement of data contracts between source systems and the warehouseAssist in reverse ETL workflows to operationalize warehouse data into downstream systemsContribute to ML data preparation and feature pipeline workflowsCollaborate closely with Data Architecture, Analytics Engineering, Product, and Software Engineering teamsContribute to documentation, governance practices, and continuous improvement of data engineering standardsSkillsBachelor's degree in Computer Science, Data Science, Engineering, or related field (or equivalent years of professional experience)2–4 years of experience in data engineering or a related data-focused roleExperience working with ETL/ELT processes and structured warehouse dataExposure to cloud-based data platforms (AWS preferred)Strong SQL skills (joins, window functions, and query optimization fundamentals)Proficiency in Python for data processing, scripting, or automationFamiliarity with version control systems (e.g., Git)Strong attention to detail and commitment to data accuracyAbility to troubleshoot and debug data workflows effectivelyStrong written and verbal communication skillsAbility to collaborate across technical and non-technical teamsExperience working with Snowflake or similar cloud data warehousesExposure to dbt or similar transformation frameworksIntroductory experience with dimensional modeling conceptsExperience implementing data quality tests or validation frameworksExposure to data contracts or schema management practicesFamiliarity with reverse ETL conceptsPassing experience with workflow orchestration tools (e.g., Airflow, Dagster, or similar)Familiarity with CI/CD practices for data workflowsExperience using AI-assisted tools to support debugging, pipeline development, or data engineering workflowsExposure to BI tools (e.g., Power BI, Tableau, Looker)Company OverviewSennos offers a real-time monitoring solution that enhances control over the fermentation process. It was founded in 2017, and is headquartered in Durham, North Carolina, USA, with a workforce of 51-200 employees. Its website is https://www.sennos.com/.