Senior Data Engineer - GenAI
Summary
Senior GenAI Data Engineer who architects end-to-end batch and streaming data pipelines and drives data quality, testing, lineage, and governance across complex data environments, using AI coding tools like Copilot, Claude, and Gemini to boost productivity. Core stack: advanced SQL, Python, and Apache Spark, with GCP services preferred.
AuxoAI is seeking a Senior GenAI Data Engineer with strong fundamentals in data engineering and end-to-end solution design. In this role, you will design and develop production-grade pipelines, leverage GenAI tools (Copilot, Claude, Gemini) to boost development productivity, and define engineering best practices across complex data environments.
This is a highly collaborative, cross-functional role — ideal for someone who thrives at the intersection of data engineering excellence and GenAI-powered innovation.
Responsibilities:
Architect and develop end-to-end data pipelines — from ingestion to transformation to consumption
Lead solutioning and integration for complex data workflows (batch and streaming)
Use AI-assisted coding tools (e.g., GitHub Copilot, Claude, Gemini) to accelerate code development, refactoring, and debugging
Implement robust data quality, testing, lineage, and governance frameworks
Drive best practices across pipeline performance, reusability, and scalability
Mentor junior engineers and contribute to capability building within the data team
Requirements
6+ years of experience in data engineering, with expertise in:
End-to-end pipeline development (batch and streaming)
Data modeling (dimensional, Data Vault, OBT)
ETL/ELT design patterns, performance tuning, and optimization
SQL (Advanced) and Python (Advanced)
Apache Spark for large-scale data processing
Proficiency using AI coding tools (e.g., Copilot, Claude, Gemini) to enhance productivity and code quality
Strong understanding of data quality frameworks, unit testing, and CI/CD for data workflows
Preferred Qualifications:
Experience with Google Cloud Platform services:
BigQuery, Dataflow, Cloud Composer, Pub/Sub, Dataproc, Vertex AI
Exposure to finance or sales data domains
Familiarity with Databricks, Delta Lake, or Apache Iceberg
GCP Professional Data Engineer certification is a plus
What We Offer:
Opportunity to work on modern data platforms with GenAI integration
Access to professional development support and cloud certification sponsorship
Competitive compensation and flexible work arrangements
A fast-paced, high-impact environment where innovation is valued