
201 - 500 employees
Founded 1960
đ Manufacturing
đ Automotive
đ Transport
Manufacturing âą Automotive âą 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„ 1 minute ago
đ California, New York â Remote
đ” $140k - $170k / year
â° Full Time
đ Senior
đ° Data Engineer
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201 - 500 employees
Founded 1960
đ Manufacturing
đ Automotive
đ Transport
Manufacturing âą Automotive âą 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.
âą 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 âą Lead the design, development, optimization, and operational management of enterprise-scale ETL/ELT pipelines within Databricks âą Build and maintain scalable batch and streaming data pipelines using PySpark, Spark SQL, Delta Lake, and Databricks Workflows âą Configure, optimize, and manage Databricks clusters for performance, scalability, reliability, and cost efficiency âą Work with software development and systems teams to build data integration solutions âą Design and build data models using Lucid, Talend, Erwin, and MySQL Workbench âą Define and enhance the enterprise data model âą Review application data systems for adherence to data governance policies âą Design and build Python ETL/ELT infrastructure, automation, and data transformation solutions âą Design and implement BI dashboards to visualize trends and forecasts âą Design and implement highly available, reliable, scalable, and performant data infrastructure components âą Design, train, and deploy ML models âą Implement monitoring solutions to proactively identify and address potential issues âą Collaborate with security teams on industry standards and compliance requirements âą Collaborate with product managers, developers, and business partners to ensure robust and reliable systems âą Convene with Scout colleagues in person and travel to company events from time to time
âą Bachelor's degree in computer science, information technology, or related field or equivalent work experience âą 8+ years of hands-on experience as DataOps Engineer in a manufacturing or automotive environment âą Experience with streaming and event-based architecture âą Experience implementing data lakehouse solutions using Databricks âą Experience with infrastructure as code (Terraform) âą Proficient in building data pipelines using Python and SQL âą Experience with AWS-based data services such as Glue, Kinesis, Firehose, or comparable services âą Experience with structured, unstructured, and time series databases âą Solid understanding of cloud data storage solutions such as RDS, DynamoDB, DocumentDB, Mongo, Cassandra, and Influx âą Several years of experience working with cloud platforms such as AWS and Azure âą Proven ability to develop and deploy scalable ML models âą Hands-on experience designing, training, and deploying ML models âą Strong ability to extract actionable insights using ML techniques âą Ability to leverage ML algorithms for forecasting trends and decision-making âą Excellent problem-solving and troubleshooting skills âą Effective communication and collaboration skills âą Applicants must be 18 years of age or older
âą Competitive medical, dental, vision and income protection insurance plans âą 401(k) program with employer match and immediate vesting âą 20 days planned PTO, as accrued âą 40 hours of unplanned PTO annually âą 14 company or floating holidays annually âą Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders âą Paid leave for bereavement, jury duty, voting time, or military leave âą Competitive compensation supporting physical, mental, and financial wellbeing âą Opportunity to build products and a company from the ground up
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