Sana Commerce
Tech / AI / Software
SeniorDataEngineer
Neural analysis suggests this role is
optimal for mid candidates.
“Senior Data Engineer at Sana Commerce. Skills: Azure Data Services, Databricks, Python, SQL, ETL, data pipeline development. Design, build, and optimize our Azure and Databricks-based data infrastructure. developing scalable ETL pipelines”
What You'll Achieve.
drive internal decision-making; customer-facing insights; power analytics, personalization, and AI-driven customer experiences; deliver best-in-class solutions; help shape the foundation of our next-generation SaaS platform
Industry & Context.
Optimize data storage and retrieval; Optimize cost, performance, and scalability; troubleshoot performance issues
What They're Looking For.
Must Have
6+ years of experience as a Data Engineer, working with Azure and Databricks, expertise in data pipeline development, ETL workflows, and real-timeatch data processing, Experience in big data technologies, and large-scale data storage, Proficiency in Python, andSQL, for data transformation, data quality and automation, experience in optimizing data performance and cost-efficiency in cloud environments
Nice to Have
Experience with eCommerce data solutions, such as customer segmentation, recommendation engines, and personalization models, Knowledge of event-driven architectures, streaming data processing, and real-time analytics, Familiarity with LLM-based AI applications and OpenAIor similarAPIs
What You'll Do.
and optimize our Azure and Databricks-based data infrastructure
developing scalable ETL pipelines
data ingestion frameworks
contribute to AI/ML-powered solutions
and maintain scalable data pipelines
Develop real-time and batch data processing frameworks for structured and unstructured data
Implement ETL/ELT workflows to ingest data from various sources
ensuring high availability and performance
Optimize data storage and retrieval of data in (near) real time and batch processes
Ensure cost-efficient and high-performance data infrastructure that scales with business needs
develop data pipelines for ML recommenders
and AI-enhanced features
Develop and maintain data models
and integrations to support analytics and customer applications
Support eCommerce-related data solutions
including product recommendations
customer segmentation
and personalization models
Monitor and troubleshoot performance issues
ensuring high availability and efficiency of data pipelines
Continuously optimize cost
and scalability of data engineering solutions
How You'll Work.
Team & Collaboration
Work closely with Data Architects, Engineers, and Product teams to develop robust data solutions; Work closely with Data Architects, Analysts, and Product Teams to understand data requirements and deliver best-in-class solutions
Full Job Description
What started in 2007 with a pizza and a plan has grown into a fast-moving SaaS company empowering manufacturers, distributors, and wholesalers to thrive in complex B2B commerce. Our mission is simple: help businesses build stronger relationships through seamless digital commerce. At Sana Commerce, you’ll join a team that’s bold, growth-oriented, and customer-obsessed, where every engineer has real ownership and impact. We are looking for a Senior Data Engineer to design, build, and optimize our Azure and Databricks-based data infrastructure. You will play a critical role in developing scalable ETL pipelines, data ingestion frameworks, andcontribute toAI/ML-powered solutions that drive internal decision-making and customer-facing insights. This is a hands-on role that requires expertise in Azure Data Services, Databricks, and Python/SQL. You will work closely with Data Architects, Engineers, and Product teams to develop robust data solutions that power analytics, personalization, and AI-driven customer experiences. Data Pipeline Development & Infrastructure * Design, build, and maintain scalable data pipelines * Develop real-time and batch data processing frameworks for structured and unstructured data. * Implement ETL/ELT workflows to ingest data from various sources, ensuring high availability and performance. * Optimize data storage and retrieval of data in (near) real time and batch processes * Ensure cost-efficient and high-performance data infrastructure that scales with business needs. Data Solutions & AI-Driven Applications * develop data pipelines for ML recommenders, search functionality, and AI-enhanced features. * Develop and maintain data models, APIs, and integrations to support analytics and customer applications. * Support eCommerce-related data solutions , including product recommendations, customer segmentation, and personalization models. Collaboration & Continuous Improvement * Work closely with Data Architects, Analysts, and Product Teams to unde
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