System Test Data Analytics Engineer at JOBY AERO INC

Santa Cruz, California, United States -

Full Time

Start Date

Immediate

Expiry Date

09 Jan, 26

Salary

130500.0

Posted On

11 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Management, Data Analysis, Data Visualization, Python, Excel, Grafana, Databricks, Collaboration, Process Improvement, Automation, Statistical Modeling, API Connectors, Version Control, Jira, Confluence, Polarion

Industry

Airlines and Aviation

Description

Joby Overview Imagine a piloted air taxi that takes off vertically, then quietly carries you and your fellow passengers over the congested city streets below, enabling you to spend more time with the people and places that matter most. Since 2009, our team has worked steadily to make this dream a reality. We’ve designed and tested many generations of prototype aircraft capable of serving in a network of electric air taxis. We’re looking for talented, committed individuals to join our team as we push onward toward certifying the Joby aircraft, scaling our manufacturing, and launching our initial commercial service. Overview Working as a Data Analytics Engineer in the System Test core team you will be responsible for developing analytical tools and reporting results from company and certification tests. You should be able to work cohesively with subject matter experts and distill requirements into simple, testable and maintainable software. You will also need to work closely with your analytics colleagues across a broad set of highly technical disciplines who depend on data to architect and optimize analytics solutions. The ideal candidate is energetic, has a positive attitude, is flexible and excited about learning and using new technologies. Responsibilities Data Management: Ensure collection, cleaning/filtering and analysis of large development and certification datasets happens in a controlled, reliable and standardized way using Grafana, Databricks, python, excel etc. Develop tools for data storage and review to make data more accessible and enable team to identify critical information and trends faster - "data" may include but is not limited to configuration management of test assets, test data sets for development or certification tests, burning down team tasks, calibration of equipment and more Build Dashboards: Generate custom dashboards to aid in developing insights, identifying trends, visualizing data (e.g test procedures/test plans burn downs for cert) Collaborate: with stakeholders system test engineers, software developers to deliver data solutions Data Review Automation Deliver a standard automated report following the company and certification test (as part of the Test Process). Saving time in the data review process. Creating consistent reports. What does the end user need to see quickly (trends, events, etc.) Process improvement - collaborate with test team, data analytics teams, IFPCS and other IPTs improve management, tools and dashboard. Required BS in Computer Science, Engineering, or similar field and 5+ years of relevant work experience Strong background in data science, data analysis and visualization (algorithms, data structures, and architectures), probability, statistics, and predictive modeling Experience with data pipeline architectures, ingestion, transformations, analytics, API connectors and visualization Familiar with GIT source control Self-starter capable of working with limited supervision and guidance Experience leading test projects from conception to completion Strong verbal and written communication skills Experience with version control, able to manage your software through its entire lifecycle (development, testing, deployment) Experience with Jira, Confluence, Polarion and SharePoint Desired Experience with distributed systems and big data tools such as Databricks, Apache Spark, etc. Experience with version control, able to manage your software through its entire lifecycle (development, testing, deployment) Coding language knowledge (C++, python, Matlab etc) and proficiency to develop to build/deploy software, create automation tools and data pipelines Compensation at Joby is a combination of base pay and Restricted Stock Units (RSUs). The target base pay for this position is $97,900 - $130,500/yr. The compensation package will be determined by job-related knowledge, skills, and experience. Joby also offers a comprehensive benefits package, including paid time off, healthcare benefits, a 401(k) plan with a company match, an employee stock purchase plan (ESPP), short-term and long-term disability coverage, life insurance, and more. Additional Information Joby is an Equal Opportunity Employer.

How To Apply:

Incase you would like to apply to this job directly from the source, please click here

Responsibilities

The Data Analytics Engineer will develop analytical tools and report results from company and certification tests. They will ensure the collection, cleaning, and analysis of large datasets in a controlled and standardized manner.