
201 - 500 employees
Founded 1960
đ Manufacturing
đ Automotive
đ Transport
Manufacturing ⢠Automotive ⢠Transport
Scout Motors Inc. is an American automotive company, established in 2022, dedicated to revitalizing the classic off-road vehicle legacy. The company produces the Scout Traveler SUV and Terra Truck, vehicles that are engineered in Detroit, built in South Carolina, and backed by Volkswagen Group's expertise. Emphasizing a blend of modern technology with the ruggedness of the original Scout vehicles, Scout Motors aims to cater to adventurers and pioneers, offering American-made SUVs and trucks known for their durability and off-road capabilities. With initial production anticipated in 2027, Scout Motors is focused on creating vehicles that embody exploration and adventure.
đ October 21
đ California, New York â Remote
đľ $140k - $170k / year
â° Full Time
đ Senior
đ° Data Engineer
đť Ghost score 0%
Where this job comes from
Posted on Scout Motors Inc.'s careers page, not through a job board
First seen by Remote Rocketship October 21
Still open on Scout Motors Inc.'s site. Checked 1 hour ago.

201 - 500 employees
Founded 1960
đ Manufacturing
đ Automotive
đ Transport
Manufacturing ⢠Automotive ⢠Transport
Scout Motors Inc. is an American automotive company, established in 2022, dedicated to revitalizing the classic off-road vehicle legacy. The company produces the Scout Traveler SUV and Terra Truck, vehicles that are engineered in Detroit, built in South Carolina, and backed by Volkswagen Group's expertise. Emphasizing a blend of modern technology with the ruggedness of the original Scout vehicles, Scout Motors aims to cater to adventurers and pioneers, offering American-made SUVs and trucks known for their durability and off-road capabilities. With initial production anticipated in 2027, Scout Motors is focused on creating vehicles that embody exploration and adventure.
⢠Contribute to the design, implementation, automation, maintenance, and operational support of enterprise-scale cloud data platforms using Databricks, AWS cloud services, and Infrastructure as Code practices ⢠Lead the design, development, optimization, and operational management of enterprise-scale ETL/ELT pipelines within Databricks ⢠Build and maintain scalable batch and streaming data pipelines using PySpark, Spark SQL, Delta Lake, and Databricks Workflows ⢠Configure, optimize, and manage Databricks clusters for performance, scalability, reliability, and cost efficiency ⢠Work with software development and systems teams to build data integration solutions ⢠Design and build data models using Lucid, Talend, Erwin, and MySQL Workbench ⢠Define and enhance the enterprise data model ⢠Review application data systems for adherence to data governance policies ⢠Design and build Python ETL/ELT infrastructure, automation, and data transformation solutions ⢠Design and implement BI dashboards to visualize trends and forecasts ⢠Design and implement highly available, reliable, scalable, and performant data infrastructure components ⢠Design, train, and deploy ML models ⢠Implement monitoring solutions to proactively identify and address potential issues ⢠Collaborate with security teams on industry standards and compliance requirements ⢠Collaborate with product managers, developers, and business partners to ensure robust and reliable systems ⢠Convene with Scout colleagues in person and travel to company events from time to time
⢠Bachelor's degree in computer science, information technology, or related field or equivalent work experience ⢠8+ years of hands-on experience as DataOps Engineer in a manufacturing or automotive environment ⢠Experience with streaming and event-based architecture ⢠Experience implementing data lakehouse solutions using Databricks ⢠Experience with infrastructure as code (Terraform) ⢠Proficient in building data pipelines using Python and SQL ⢠Experience with AWS-based data services such as Glue, Kinesis, Firehose, or comparable services ⢠Experience with structured, unstructured, and time series databases ⢠Solid understanding of cloud data storage solutions such as RDS, DynamoDB, DocumentDB, Mongo, Cassandra, and Influx ⢠Several years of experience working with cloud platforms such as AWS and Azure ⢠Proven ability to develop and deploy scalable ML models ⢠Hands-on experience designing, training, and deploying ML models ⢠Strong ability to extract actionable insights using ML techniques ⢠Ability to leverage ML algorithms for forecasting trends and decision-making ⢠Excellent problem-solving and troubleshooting skills ⢠Effective communication and collaboration skills ⢠Applicants must be 18 years of age or older
⢠Competitive medical, dental, vision and income protection insurance plans ⢠401(k) program with employer match and immediate vesting ⢠20 days planned PTO, as accrued ⢠40 hours of unplanned PTO annually ⢠14 company or floating holidays annually ⢠Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders ⢠Paid leave for bereavement, jury duty, voting time, or military leave ⢠Competitive compensation supporting physical, mental, and financial wellbeing ⢠Opportunity to build products and a company from the ground up
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