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$126,800–$203,350.
Based on 240 similar postings.
Employer
About Nissan
Nissan Motor Company is a multinational automobile manufacturer headquartered in Yokohama, Japan, designing and producing a wide range of vehicles including cars, trucks, SUVs, and electric vehicles under the Nissan and Infiniti brands. Industry: Automotive Manufacturing
The Data Engineer will join the team to design, build, and maintain batch and streaming data pipelines while ingesting data from multiple source systems. The role involves transforming and optimizing data for analytics and BI, ensuring high quality, reliability, and performance through monitoring and alerting. Key responsibilities include supporting MLOps and analytics workloads, documenting AI for parsing documents, and utilizing Cortex Search and Knowledge Extensions for retrieval-augmented generation. The ideal candidate possesses advanced SQL skills and proficiency in Python and Snowflake. Required experience includes data modeling, database design, and familiarity with platforms like Databricks, BigQuery, or Redshift, alongside ETL/ELT tools such as Airflow or dbt. Additionally, the role involves working with streaming technologies like Kafka to solve complex data flow challenges within the automotive industry context.
What does a Data Engineer earn?
Median $162000 from 195 postings across 59 companies.
Design, build, and maintain batch and streaming data pipelines.
Ingest data from multiple source systems into centralized platforms.
Transform and optimize data for analytics and business intelligence reporting.
Ensure data quality, reliability, and performance across all data flows.
Implement monitoring and alerting systems for data pipeline health.
Support MLOps workflows and conversational analytics for autonomous tasks.
Document data flows and processes for AI extraction and parsing.
Create curated datasets and automated jobs to support downstream users.
What we're looking for
Bachelor's degree in Computer Science, Data Science, or a related field.
6 years of experience in data engineering.
Advanced SQL skills and proficiency in Python and Snowflake.
Hands-on experience with creating data models, database design, and data sets.
Experience with data platforms including Snowflake, Databricks, BigQuery, and/or Redshift.
Experience with ETL/ELT tools including ADF, Airflow, and/or dbt.
Master's degree in Data Science, Computer Science, or related field (preferred); automotive industry experience (preferred); AWS and cloud platform experience (preferred).
Authorized to work in the United States and will be.