Senior Data Engineer (Databricks, AI/ML)

The Opportunity

Step into a pivotal role as a Senior Data Engineer with a rapidly expanding cloud-based logistics platform. Here, you'll harness your AI/ML expertise to drive innovation and impact for over 5,500 e-commerce merchants. Collaborating directly with U.S.-based product, engineering, and data science teams, you'll be at the forefront of designing and building AI-powered solutions. This position uniquely blends data engineering with applied AI, as you support a significant infrastructure migration to Databricks and develop the next generation of intelligent, data-driven products. Your work will go beyond traditional data analysis, requiring you to architect and implement AI solutions from the ground up, selecting the optimal tools and frameworks for each unique challenge.

What You'll Bring

1. Over 5 years of data engineering experience, ideally within the Azure ecosystem.

2. Expertise in SQL, T-SQL, and relational database design.

3. Proficiency with Databricks, including the development and optimization of data pipelines.

4. Solid understanding of data warehousing concepts, data modeling, and ETL/ELT pipeline architecture.

5. Proven track record of building AI/ML solutions in production environments, such as NLP/LLM applications, recommendation engines, predictive models, or intelligent search/query tools.

6. Experience with data governance and cataloging tools like Open Metadata.

7. Familiarity with AI/ML frameworks and tools such as LangChain, Azure OpenAI Service, Azure ML, or HuggingFace.

8. Knowledge of data security and access control patterns, especially for multi-tenant or customer-facing applications.
9. Professional English Communication: Exceptional communication skills, enabling effective collaboration with both technical and nontechnical stakeholders.

What Sets You Apart

Optional Technical Skills and Technologies:

1. Experience with the broader Azure data platform, including Azure Data Factory and Azure Synapse Analytics.

2. Familiarity with Power BI and its AI-powered features, such as Copilot in Power BI, smart narratives, and Q&A visuals.

3. Experience with NoSQL databases like Elasticsearch, MongoDB, or Redis.

4. Understanding of financial data and systems, such as NetSuite.

5. Experience with AI development tools like Claude, Copilot, Cursor, or Replit for accelerated development workflows.

Why You'll Love Working With Us

Join a dynamic, mission-driven environment where you'll work on production AI products that make a tangible difference for over 5,500 merchants. You'll collaborate with top-tier U.S.-based teams in a remote-first setting, contributing to a major infrastructure modernization from Synapse to Databricks alongside cutting-edge AI initiatives. Our tool-agnostic culture values the best solutions over specific technologies, fostering a fast-paced, innovative engineering culture that offers variety and growth opportunities in future projects.