Sr. Data Engineer


Markham, Ontario, Canada

Full time


Mar 4

What to Expect

Responsible for performing advanced analytics, creating infrastructure and data pipelines, developing predictive models and making data applications that enable cross functional teams to leverage a wealth of manufacturing, equipment and cell data both efficiently and effectively. In this role, you will focus on building data pipelines and infrastructure that power data science systems, tools, software and applications for the Cell Manufacturing team.

What You’ll Do

· Analyze and interpret high volume manufacturing data from various sources and assembly operations to extract useful statistics and insights about the operation

· Support engineering staff and management in investigations of failures, containment activities, continuous improvement initiatives, etc, in order to drive meaningful improvements to production quality and output

· Work effectively with engineers and conduct end-to-end analyses, from data requirement gathering, to data processing and modeling

· Interpret data, analyze results using statistical techniques and provide ongoing reports

· Monitor key product metrics, understanding root causes of changes in metrics

· Identify, analyze, and interpret trends or patterns in complex data sets and depict the story via dashboards and reports

· Create and maintain standardized reporting tools for the operation, providing results on the health of the business for various audiences, including senior management

· Maintain existing data visualizations, data pipelines and dashboard enhancement requests

· Acquire data from primary or secondary data sources and maintain databases/data systems to empower operational and exploratory analysis

· Automate analyses and authoring pipelines via Kafka, OPC UA, SQL, Python, Tableau, and similar

· Drive underlying data systems improvement by working with key cross-functional stakeholders

· Perform data quality validations to ensure data creation

· Proactively identify improvement opportunities (potential gaps between process and system) across all business functions, developing tools that allow for visibility into process bottlenecks and inconsistencies

· Work closely with controls, process, and quality engineers to develop and improve data collection activities and reporting tools within a high volume manufacturing environment

· Work with management to prioritize business and information needs

What You’ll Bring

· B.S. degree or higher in quantitative discipline (e.g. Computer Science, Mathematics, Physics, Electrical Engineering, Statistics, Industrial Engineering) or the equivalent in experience and evidence of exceptional ability

· 3+ years of work experience in data engineering and platform engineering

· Extensive experience developing software

· Works well under pressure while collaborating and managing competing demands with tight deadlines

· A passion and curiosity for data and data-driven decision making

· Drive to introduce predictive models that can be used for production decision making assistance

· Possess a high level of attention to detail and professionalism in report creation

· Be a team player and have the ability to collaborate well across diverse functional groups

· Strong verbal and written communication skills to manage and communicate the health and integrity of the data and systems

· Experience with Supervisory Control and Data Acquisition Systems, Manufacturing Execution Systems, and high volume manufacturing where automated assembly is performed is a plus

· Understanding of software and database design in order to work closely with a development team to translate business needs into software solutions

Preferred Qualifications

· Data mining and database experience (e.g. Presto, AWS, SQL)

· Data visualization experience (e.g Tableau, Power BI, Grafana)

· Software development experience (e.g. Python, JavaScript, R)

· RESTful and RPC-based API experience (e.g. gRPC)

· Workflow management and automation (e.g. Airflow)

· Data pipeline experience (e.g. Kafka)

· Statistical software experience (e.g. JMP, Minitab)

Compensation and Benefits

Tesla is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws.

Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.

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