Senior Data Engineer (ML/AI)

Posted 18 Days Ago
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Alexandria
In-Office
Senior level
eCommerce • Information Technology
The Role
The job involves designing and maintaining data pipelines for ML/AI, ensuring data quality, collaborating with data scientists, and supporting MLOps practices.
Summary Generated by Built In
Company 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, we're looking for a Data Engineer (ML/AI) to design, build, and scale data systems that power our analytics and machine learning initiatives. Your work will ensure high-quality, reliable, and ML-ready data pipelines that enable both traditional analytics and advanced AI-driven solutions across the business.

Job Description

What you'll be doing

  • Designing and maintaining data pipelines optimized for ML/AI workloads, including handling of large-scale, unstructured, and semi-structured data.
  • Building feature pipelines and feature stores that ensure reusability and consistency of data used by machine learning models.
  • Collaborating with Data Scientists and ML Engineers to understand data requirements for training, validation, and production deployment.
  • Ensuring data quality, lineage, and governance meet standards required for AI/ML applications.
  • Supporting MLOps practices by integrating data pipelines with model training, monitoring, and deployment workflows.
  • Leveraging distributed processing frameworks (e.g., Spark, Databricks, Azure Synapse) for scalable ML data processing.

Qualifications

What you bring

  • 8+ years of experience as a Data Engineer, working with Azure and Databricks, ideally with exposure to ML/AI-related data workflows.
  • College degree that demonstrates your analytic abilities, such as Econometrics, Computer Sciences, Mathematics or similar;
  • Excellent analytical and problem-solving skills;
  • Experience with data preparation for ML/AI: managing large datasets, feature engineering, and real-time or batch data pipelines.
  • Familiarity with MLOps concepts and how data engineering supports model lifecycle management.
  • Experience with orchestration frameworks (Airflow, Prefect, or Azure Data Factory) for complex ML pipelines.
  • Knowledge of unstructured data processing (text, images, logs) is a plus.
  • Strong SQL and Python skills; experience with distributed data processing (PySpark, Dask, etc.) is a plus.

Why you’ll love working here

  • Impact from day one – Join a scale-up where your ideas shape how global businesses operate online.
  • Continuous learning – Access a structured onboarding rated 9.1/10 by previous hires, mentorship, and feedback culture.
  • Hybrid flexibility – Work from our office 3 days per week and from home 2 days.
  • Career growth – Expand your technical and leadership scope in a company built for long-term success.

Our values

At Sana Commerce, our values drive everything we do:

  • Champions of Our League – We deliver lasting success, balancing quick wins and long-term value
  • Supercharge Our Customers – We’re revolutionizing B2B commerce together, helping our customers to lead and succeed.
  • Determined to Grow – We embrace challenges, growing and raising the bar for ourselves and our industry.
  • Bold Together – We dare to be bold because we have each other’s back.

Ready to build reliability that scales?

Apply now and help shape the foundation of our next-generation SaaS platform.

Additional Information

#LI-Hybrid

 

Top Skills

Airflow
Azure
Azure Data Factory
Dask
Databricks
Prefect
Pyspark
Python
Spark
SQL
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The Company
New York, NY
469 Employees
Year Founded: 2008

What We Do

At Sana Commerce, we specialize in delivering a comprehensive B2B e-commerce solution that seamlessly integrates with Microsoft Dynamics and SAP ERPs.

Our mission is to empower manufacturers, distributors, and wholesalers with the tools they need to build and nurture long lasting customer relationships

How? By making your SAP or Microsoft Dynamics ERP and e-commerce work as one. This eliminates the system silos, unnecessary complexities, and compromises caused by mainstream e-commerce solutions.

Instead, our approach unlocks 3 key benefits that enable you to build lasting relationships with your customers:
• Total customer convenience: Empower your customers with personalized self-service and complete transparency.
• Reliability without compromise: Eliminate errors and delays for an experience your customers can always rely on.
• Constant evolution: Quickly and easily adapt your business to meet and exceed your customers’ evolving expectations.

Sana Commerce is a certified SAP and Microsoft Gold partner, backed by a strong global partner network and recognized by leading industry experts.

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