Data Engineer

Location: Franklin, TN Schedule: Full time, hybrid (Mon–Thu onsite, Fri remote) Education: Bachelor’s degree (Master’s preferred) Sponsorship: No 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 processes for extracting answers, parsing documents, and summarizing unstructured files Utilize Cortex Search & Knowledge Extensions for retrieval‑augmented generation (RAG) Deploy Cortex Agents & Analyst for conversational analytics and autonomous workflows Typical Deliverables Data ingestion and transformation pipelines Curated datasets / data marts Automated workflows and jobs Monitoring and logging for pipelines Documentation of data flows Qualifications Bachelor’s Degree in Computer Science, Data Science, or related field required (Master’s preferred) Minimum 6 years of experience in data engineering Advanced SQL skills and proficiency in Python and Snowflake Hands‑on experience creating data models, database design, and data sets Excellent negotiation and cross‑functional skills Strong analytical, presentation, and strategic thinking skills Experience with AWS and other cloud platforms preferred Skills & Experience Programming: Python & SQL Data platforms: Snowflake, Databricks, BigQuery, Redshift ETL/ELT tools: ADF, Airflow, dbt Streaming technologies: Kafka, Event Hubs DevOps & CI/CD principles KPIs: Pipeline reliability and uptime, data freshness/latency, data quality error rates, cost efficiency of data processing Benefits Career Growth and Continuous Learning Opportunities, including seminars, leadership training, and tuition reimbursement Comprehensive Benefits Package: medical, mental health, parental leave, retirement savings, unique Nissan perks, discounts on lease vehicles and vehicle purchase program Equal Employment Opportunity Statement Nissan is committed to a drug‑free workplace. All employment is contingent upon the successful completion of drug and background screenings in accordance with Nissan policies and in compliance with federal, state, and local laws, including the California Fair Chance Act and the Los Angeles County Fair Chance Ordinance. Nissan will consider qualified candidates with arrest or conviction records for employment in a manner consistent with these laws. Nissan provides Equal Employment Opportunity to all persons regardless of race, gender, military status, disability, or any other status protected by law. 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. #J-18808-Ljbffr