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Scout Motors Inc.
Scout Motors Inc.
201 – 500 Employees
AutomotiveManufacturingTransport
Scout Motors Inc. is an American automotive manufacturer developing a new generation of off-road vehicles inspired by the original Scout legacy. Its lineup includes the Scout Traveler SUV and Scout Terra Truck, combining contemporary technology with rugged design and off-road capability. The vehicles are engineered in Detroit and planned for production in South Carolina, with Volkswagen Group providing technical expertise. Scout Motors is building toward initial production in 2027 while shaping durable, adventure-focused vehicles for drivers who value exploration and utility.
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Senior DataOps Engineer

Build Databricks and AWS data platforms that support Scout Motors’ electric trucks and SUVs. Design data pipelines, infrastructure, BI dashboards, and machine learning models.

USUnited StatesCACaliforniaNYNew York
$140,000 – $170,000 / year
RemoteFull-timeSeniorEnglish RequiredData Engineer
AWSAzureCassandraCloudDynamoDBETLMySQLPySparkPythonSparkSQLTerraform

Description

  • Help design, automate, maintain, and support enterprise cloud data platforms built with Databricks, AWS, and infrastructure as code.
  • Lead the design, development, optimization, and operation of enterprise Databricks ETL and ELT pipelines.
  • Build and maintain scalable batch and streaming pipelines with PySpark, Spark SQL, Delta Lake, and Databricks Workflows.
  • Configure and optimize Databricks clusters for performance, scale, reliability, and cost efficiency.
  • Partner with software development and systems teams to create data integration solutions.
  • Design and build data models with Lucid, Talend, Erwin, and MySQL Workbench.
  • Define and improve the enterprise data model.
  • Assess application data systems for compliance with data governance policies.
  • Build Python ETL and ELT infrastructure, automation, and data transformation solutions.
  • Create BI dashboards to show trends and forecasts.
  • Design and implement data infrastructure components for high availability, reliability, scalability, and performance.
  • Design, train, and deploy machine learning models.
  • Implement monitoring to identify and address potential issues early.
  • Work with security teams to meet industry standards and compliance requirements.
  • Partner with product managers, developers, and business partners to deliver robust, reliable systems.
  • Meet with Scout colleagues in person and travel to company events periodically.

Requirements

  • Bachelor’s degree in computer science, information technology, or a related field, or equivalent work experience.
  • At least 8 years of hands-on DataOps engineering experience in manufacturing or automotive.
  • Experience with streaming and event-based architectures.
  • Experience implementing Databricks data lakehouse solutions.
  • Experience with infrastructure as code, including Terraform.
  • Proficiency building data pipelines with Python and SQL.
  • Experience with AWS data services such as Glue, Kinesis, and Firehose, or comparable services.
  • Experience with structured, unstructured, and time-series databases.
  • Strong knowledge of cloud data storage services such as RDS, DynamoDB, DocumentDB, MongoDB, Cassandra, and InfluxDB.
  • Several years of experience with cloud platforms such as AWS and Azure.
  • Demonstrated ability to develop and deploy scalable machine learning models.
  • Hands-on experience designing, training, and deploying machine learning models.
  • Ability to derive actionable insights using machine learning techniques.
  • Ability to apply machine learning algorithms to forecast trends and support decisions.
  • Strong problem-solving and troubleshooting skills.
  • Effective communication and collaboration skills.
  • Must be at least 18 years old.

Benefits

  • Medical, dental, vision, and income protection insurance plans.
  • 401(k) plan with employer matching and immediate vesting.
  • 20 days of accrued planned paid time off.
  • 40 hours of unplanned paid time off each year.
  • 14 company or floating holidays each year.
  • Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders.
  • Paid leave for bereavement, jury duty, voting, or military service.
  • Compensation designed to support physical, mental, and financial wellbeing.
  • Opportunity to build products and a company from the ground up.

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