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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # LFP Data Engineer, Manufacturing Software & Analytics - **Company:** Tesla Motors - **Location:** Storey County, NV, United States - **Contract:** Permanent contract - **Skills:** Airflow, Data Analysis, Databases, Data Transmissions, Data Normalization, Python (Programming Language), Linear Programming, SQL Databases, WebSocket, Scripting, Grafana, Apache Spark, Git, Information Technology, Optimization Algorithms, Data Analytics, Tools for Reporting, Restful APIs, Streamlit Framework, Industrial Software, Data Pipelines, Golang, Data Generation - **Published:** September 10, 2026 - **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/18279372?backUrl=%2Fcareer%2F18279372%2FLfp-Data-Engineer-Manufacturing-Software-Analytics-Nevada-Sparks ## About the Role * Degree in Management Information Systems, Computer Science, Math, Physics, Mechanical Engineering, Electrical Engineering, Statistics or Equivalent experience * 2+ years of experience writing scripts or programs with Python OR Go-Lang * 2+ years of experience with SQL database queries * 2+ years of experience building analytical dashboards * 1+ year of experience with Git * Proven hands-on experience in data science, quantitative/statistical analysis, modeling, and data-driven problem solving * Drive to apply predictive models and optimization techniques (e.g., integer linear programming) to support operational decision-making * Knowledge of various data communication protocols (e.g. REST API, WebSocket) * Able to work under pressure while collaborating and managing competing demands with tight deadlines * Strong verbal and written communication skills to quickly translate needs into data analysis problems and effectively communicate learnings ## Description The Manufacturing Software & Analytics team is looking for a Data Engineer to support the automation of reports and actions, as well as manufacturing data analytics. You'll also be responsible for performing advanced analytics, creating infrastructure and data pipelines, developing analytical models and making data applications/visualizations that enable cross functional teams to leverage a wealth of manufacturing, equipment and vehicle data both efficiently and effectively. What You'll Do * Analyze high-volume manufacturing, equipment, and product field data from multiple sources to extract actionable statistics and insights on failures, trends, and performance-driving improvements in quality, throughput, process efficiency, and customer experience * Build, maintain, and enhance data aggregation pipelines using Python, Apache Airflow, Spark, and SQL; acquire data from primary/secondary sources and ensure data quality * Create powerful visualizations, dashboards, and reports with in-house tools, Streamlit, and Grafana to monitor key metrics, depict data stories, and support decision-making * Conduct end-to-end analyses: gather requirements, process and model data, apply statistical techniques, perform root-cause investigations of system/metric changes * Collaborate with software, controls, process, and quality engineers to improve data collection, reporting tools, and resolve issues in a high-volume manufacturing environment * Maintain existing visualizations, pipelines, databases, and dashboards while fulfilling enhancement requests * Dive deep into investigations of potential system issues, using data to arrive at logical conclusions and to convince the team what action is necessary * Perform data quality validations to ensure data creation is as per the business needs and expectations ## Related Videos - [Fully Orchestrating Databricks from Airflow](https://www.wearedevelopers.com/videos/336-fully-orchestrating-databricks-from-airflow) - [Remote Driving on Plant Grounds with State-of-the-Art Cloud Technologies](https://www.wearedevelopers.com/videos/251-remote-driving-on-plant-grounds-with-state-of-the-art-cloud-technologies) - [Go with the Flow: Stop the Leaks Before Your Memory's a Waterfall!](https://www.wearedevelopers.com/videos/100073-go-with-the-flow-stop-the-leaks-before-your-memory-s-a-waterfall) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Car's are Technology on Wheels - Impact of Software and IT Competence in Automotive](https://www.wearedevelopers.com/videos/780-car-s-are-technology-on-wheels-impact-of-software-and-it-competence-in-automotive) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How software is steering vehicle technology](https://www.wearedevelopers.com/magazine/515-how-software-is-steering-vehicle-technology) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [How Much FAANG Companies Actually Pay Software Engineers in 2025](https://www.wearedevelopers.com/magazine/230-how-much-faang-companies-actually-pay-software-engineers-in-2025) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [A Guide to Green Tech and Green IT Careers](https://www.wearedevelopers.com/magazine/374-a-guide-to-green-tech-and-green-it-careers)