Senior Data Engineer at Jobgether – United States

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Engineer in United States.

This role offers the chance to lead the architecture and development of a cutting-edge data ecosystem that drives AI-first logistics solutions. As a Senior Data Engineer, you will design, implement, and optimize data pipelines, Snowflake architectures, and LLM-based AI/ML workflows, transforming fragmented logistics data into actionable insights. You will collaborate closely with leadership, product, and design teams to ensure scalable, secure, and performant solutions that support real-time operations while preparing for advanced AI deployments. The position balances hands-on engineering with strategic oversight, mentoring, and cross-team collaboration, providing a platform to shape both the technology and the data strategy. Ideal candidates thrive in fast-paced, innovative environments, enjoy solving complex problems, and have experience bridging operational and AI-focused data initiatives.

• Define and implement the strategy for LLM-based data products, including semantic layer design and embedding pipelines for RAG-based applications.

• Own the design, evolution, and operationalization of Snowflake architecture and Cortex AI/ML functions.

• Build and maintain reliable ELT/Reverse ETL pipelines, ensuring multi-tenant SaaS data remains secure, performant, and compliant.

• Develop pipelines to move large-scale ML and LLM models from proof-of-concept to production-grade deployment.

• Simplify and modularize the data estate through well-defined service boundaries, reducing complexity across the platform.

• Mentor engineers, provide architectural guidance, and collaborate with Product and Design to translate complex business logic into automated, actionable data deliverables.

• Stay current on emerging data technologies and best practices, ensuring the platform remains innovative and future-ready.

Requirements:

• 7+ years of experience in data engineering with proven delivery of mission-critical data platforms.

• Deep proficiency in Snowflake, including data modeling, query optimization, security, and AI/ML Cortex functions.

• Expert-level SQL and Python skills; extensive experience with dbt and modern orchestration tools (Airflow, Dagster).

• Hands-on experience building pipelines for ML or LLM-based applications, including feature engineering and model deployment.

• Competency in cloud platforms (Azure preferred) and experience with CI/CD and infrastructure-as-code principles.

• Strong collaboration and communication skills, with experience driving cross-team architectural consensus.

• Ability to take end-to-end ownership of product areas and mentor junior engineers in best practices.

Benefits:

• Competitive salary with market-aligned compensation.

• Remote-first work model with flexibility.

• Opportunities to work on AI-first data initiatives with high business impact.

• Professional growth, mentorship, and exposure to cutting-edge data technologies.

• Collaborative and innovative team environment fostering knowledge sharing and continuous improvement.