Data Engineer / Analyst - Automotive Energy

United States·Foster Citymid

Data EngineerData

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Quick Summary

Overview

Headquartered in Dublin, Ohio (USA) with Engineering Centers in Pune, India and Yokohama, Japan, Goken is a global Engineering Services and Product Development company founded in 2004.

Key Responsibilities

Develop robust data tables, metrics, and dashboards for energy related metrics of the vehicle fleet. Mature and harden existing Databricks tables and scripts to allow the team to scale as our fleet grows Work closely with Energy engineers to develop…

Requirements Summary

BS/MS degree in a technical field Expertise with Python and Scala Expertise with Databricks is required Experience designing and building complex data modeling at scale Advanced Structure Query Language (SQL) and data warehousing experience…

Technical Tools

airflowpythonscalasqldatabase-designetl

Headquartered in Dublin, Ohio (USA) with Engineering Centers in Pune, India and Yokohama, Japan, Goken is a global Engineering Services and Product Development company founded in 2004. We partner with OEMs and suppliers across the mobility space, as well as clients in non-mobility industries, to deliver innovative solutions and accelerate product development.

At Goken, we embrace our motto of “Time to Innovate” by pushing boundaries, cultivating entrepreneurial thinking, and empowering individuals who thrive on tackling challenges, embrace fresh ideas, and are driven to create solutions that shape the future. This mindset fuels our mission and empowers our teams to solve complex problems, deliver measurable value, and move our clients and industries forward.

Our Vision is to empower associates to drive innovation and lead meaningful change wherever it’s needed, ensuring we stay ahead of the challenges and opportunities of tomorrow. Our Mission is to build trust that fosters greatness in our people, excellence in our clients, and positive impact in the communities we serve.

Goken offers a competitive compensation structure and benefits that support professional growth and personal well-being. We also foster a culture built on high performance, collaboration, continuous improvement, and ongoing professional development.

In this role you’ll be the lead data engineer and analyst in the energy and aerodynamics attribute group for all energy metrics, building both the data foundation as well as business reporting layers. This group works to ensure vehicles operate energy efficiently, understanding where each kilowatt-hour of energy goes and developing features to reduce energy consumption. A key part of that process is data engineering and analysis - using real data from the fleet to understand and measure the impact on fleet-wide energy consumption.

Responsibilities

~1 min read

→Develop robust data tables, metrics, and dashboards for energy related metrics of the vehicle fleet.
→Mature and harden existing Databricks tables and scripts to allow the team to scale as our fleet grows
→Work closely with Energy engineers to develop the right metrics for our business, including KPIs and reporting dashboards.
→Maintain data pipelines and automate query jobs to support scaling

Requirements

~1 min read

BS/MS degree in a technical field
Expertise with Python and Scala
Expertise with Databricks is required
Experience designing and building complex data modeling at scale
Advanced Structure Query Language (SQL) and data warehousing experience
Experience operating a workflow manager such as Airflow
Ability to not only engineer data systems, but also develop business and engineering facing dashboards, KPIs, and metrics

The pay range for this role is an estimate based on a wide range of compensation factors, inclusive of base pay only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations.

California Pay Range

$60—$67 USD

Goken is committed to fostering a respectful, inclusive, and engaging workplace across all global locations. We value diversity and provide equal opportunities for career growth and professional development, regardless of race, color, religion, national origin, sex, age, disability, veteran status, genetic information, sexual orientation, gender identity, marital status, or any other characteristic protected by law.