Data Engineer

Nissan • Franklin, TN

6d • Hybrid

About The Position

The Data Engineer builds and maintains reliable, scalable data pipelines that make data available for analytics, reporting, and data science. This role involves designing, building, and maintaining data pipelines (batch and streaming), ingesting data from multiple source systems, transforming and optimizing data for analytics and BI, ensuring data quality, reliability, and performance, implementing data pipeline monitoring and alerting, and collaborating with Data Scientists and BI teams. The role also supports MLOps and analytics workloads, including AI for extracting answers, parsing documents, and summarizing unstructured files, as well as Cortex Search & Knowledge Extensions for retrieval-augmented generation (RAG), and Cortex Agents & Analyst for conversational analytics and autonomous workflows.

Requirements

• Bachelor’s Degree in Computer Science, Data Science, or related field required.
• Min 6 years of experience in data engineering required.
• Advanced SQL skills and proficiency in Python and Snowflake required.
• Hands-on experience with creating data models, database design, and data sets required.
• Excellent negotiation and cross-functional skills are required to effectively balance priorities from various functional groups.
• Strong analytical, presentation and strategic thinking skills
• Programming: Python & SQL
• Data platforms (Snowflake, Databricks, BigQuery, Redshift)
• ETL/ELT tools (ADF, Airflow, dbt)
• Streaming technologies (Kafka, Event Hubs)
• DevOps and CI/CD principles
• Candidates for this position must be legally authorized to work in the United States and will be required to provide proof of employment eligibility at the time of hire; Nissan uses E-Verify to validate employment eligibility.

Nice To Haves

• Master’s degree preferred.
• Automotive industry experience preferred.
• Experience with AWS, and other cloud platforms preferred.

Responsibilities

• Design, build, and maintain data pipelines (batch and streaming)
• Ingest data from multiple source systems
• Transform and optimize data for analytics and BI
• Ensure data quality, reliability, and performance
• Implement data pipeline monitoring and alerting
• Collaborate with Data Scientists and BI teams
• Support MLOps and analytics workloads
• Document AI for extracting answers, parsing documents, and summarizing unstructured files.
• Cortex Search & Knowledge Extensions for retrieval‑augmented generation (RAG).
• Cortex Agents & Analyst for conversational analytics and autonomous workflows.

Benefits

• Comprehensive Benefits Package, including medical, mental health, parental leave, retirement savings & unique Nissan perks, including discounts on lease vehicles as part of our Employee Lease Program and a Vehicle Purchase Program (VPP).

What This Job Offers

• Job Type: Full-time
• Career Level: Senior