Scout Motors Inc. · 9 hours ago
Senior DataOps Engineer
Scout Motors Inc. is dedicated to revolutionizing the electric vehicle industry with a focus on innovation and community respect. The Senior DataOps Engineer will be responsible for building and maintaining a cloud infrastructure data platform, ensuring data integrity, and enabling AI-driven insights across the organization.
AutomotiveElectric VehicleIndustrialManufacturing
Responsibilities
Contribute to the design, implementation, and maintenance of the overall cloud infrastructure data platform using modern IaC (Infrastructure as Code) practices
Work closely with software development and systems teams to build Data Integration solutions
Design and build Data models using tools such as Lucid, Talend, Erwin, MySQL workbench
Define and enhance enterprise data model to reflect relationships and dependencies
Review application data systems to ensure adherence to data governance policies
Design and build ETL (Python), ELT(Python) infrastructure, automation, and solutions to transform data as required
Design and Implement BI dashboards to visualize Trends and Forecasts
Design and implement data infrastructure components, ensuring high availability, reliability, scalability, and performance
Design, train and deploy ML models
Implement monitoring solutions to proactively identify and address potential issues
Collaborate with security teams to ensure the data platform meets industry standards and compliance requirements
Collaborate with cross-functional teams, including product managers, developers, and business partners to ensure robust and reliable systems
Qualification
Required
Bachelor's degree in computer science, information technology, or related field or equivalent work experience
7+ 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 languages such as Python and SQL
Experience with AWS based data services such as Glue, Kinesis, Firehose or other comparable services
Experience with Structured, unstructured and time series databases
Solid understanding of cloud data storage solutions such as RDS, DynamoDB, DocumentDB, Mongo, Cassandra, 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 in 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. When a problem occurs, you run towards it not away
Effective communication and collaboration skills. You treat colleagues with respect. You have a desire for clean implementations but are also humble in discussing alternative solutions and options
Benefits
Competitive insurance including: Medical, dental, vision and income protection plans
401(k) program with: An employer match and immediate vesting
Generous Paid Time Off including: 20 days planned PTO, as accrued
40 hours of unplanned PTO and 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 circumstances related to bereavement, jury duty, voting time, or military leave
Company
Scout Motors Inc.
Scout is more than just a brand, it’s a legacy steeped in a culture of exploration, caretaking, and hard work.
H1B Sponsorship
Scout Motors Inc. has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (8)
2024 (9)
Funding
Current Stage
Late StageRecent News
2025-12-22
2025-12-08
2025-12-03
Company data provided by crunchbase