Senior Data Engineer - Pipelines, MLOps & Analytics

Nissan Motor Corporation; Franklin (TN); Hybrid; USD 95,000 - 130,000; Full time

Benefits offered by this job

Medical benefits

Mental health benefits

Parental leave

Retirement savings

Vehicle lease discounts

Vehicle Purchase Program (VPP)

Job summary

Nissan Motor Corporation in Franklin, TN is seeking a Data Engineer to design and maintain data pipelines, ingest from multiple sources, and optimize data for analytics and BI. You will work with Data Scientists and BI teams in a hybrid model, focusing on data quality and scalable architectures.

The role requires a Bachelor's degree, 6+ years of data engineering experience, and strong Python, SQL, and Snowflake skills.

Qualifications

• Bachelor's degree in Computer Science, Data Science, or related field required; Master's degree 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.

Skills

Python

SQL

Snowflake

Data modeling

Database design

Cross-functional

Analytical thinking

Education

Bachelor's degree

Master's degree preferred

Tools

Databricks

BigQuery

Redshift

Snowflake

ADF

Airflow

dbt

Kafka

Event Hubs

CI/CD

AWS

Job description

Nissan Motor Corporation in Franklin, TN is seeking a Data Engineer to design and maintain data pipelines, ingest from multiple sources, and optimize data for analytics and BI. You will work with Data Scientists and BI teams in a hybrid model, focusing on data quality and scalable architectures.

The role requires a Bachelor's degree, 6+ years of data engineering experience, and strong Python, SQL, and Snowflake skills.