Data Ops Engineer

Here at Scout Motors, we’re carrying forward the heritage of one of the most iconic American vehicles in history. A vehicle dating back to 1960. One that forged the path for future generations of rugged SUVs and trucks and will do so once again. But Scout is more than just a brand, it’s a legacy steeped in a culture of exploration, caretaking, and hard work. The Scout brand is all about respect. Respect for the past and the future by taking an iconic American brand that hasn’t been around for a while, electrifying it, digitizing it, and loading it with American innovation. Respect for communities by creating a company that stands for its people and its customers. Respect for both work and play, with vehicles that are equally at home at a camp site, a job site, or on a Tuesday commute. And respect for our customers by developing two powertrains that meet their requirements — an all-electric powertrain as well as the Harvester™ range extender powertrain which includes a built-in gas-powered generator with an estimated 500 miles of combined range. At Scout Motors, we empower our talented, inclusive, and entrepreneurial teams to innovate. What makes a Scout employee? Someone who is a visionary and a leader, who seeks new paths and shares lessons learned. A knowledgeable doer who collaborates across the company to build better. A go-getter with unrivaled passion. Join us at Scout Motors and be part of shaping the future of transportation. If you’re ready to drive change and make history, apply now! About the team The Data Platform Team at Scout is dedicated to unlocking the full potential of data by building a secure, scalable, and distributed platform that enables real-time insights, drives informed decision-making, and fosters innovation across the organization. Our mission is to empower teams with actionable intelligence by streamlining data sharing, ensuring regulatory compliance, maintaining data integrity, and optimizing costs at every level. This role is focused on building the foundation for deploying AI-enabled use cases across company operations. What you’ll do Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following: Contribute to the design, implementation, and maintenance of the cloud infrastructure data platform using modern infrastructure-as-code practices. Partner with software development and systems teams to build data integration solutions. Design and build data models using tools such as Lucid, Talend, Erwin, and MySQL Workbench. Contribute to and maintain enterprise data models within established architecture and governance standards, documenting relationships, dependencies, and data definitions. Review application data systems to ensure adherence to data governance policies. Design and build ETL and ELT infrastructure, automation, and solutions using Python to transform data as required. Design and implement business intelligence dashboards to visualize trends and forecasts. Design and implement data infrastructure components that support high availability, reliability, scalability, and performance. Design, train, and deploy machine learning 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. Location & Travel Expectations : This role may be based out of the Scout Motors corporate headquarters in Charlotte, NC . This role requires 4 days per week in the office, with regular in-person meetings and events. Applicants should expect that the role will require the ability to convene with Scout colleagues in person and travel to participate in events on behalf of the company from time to time. What you’ll bring We expect all Scout employees to have integrity, curiosity, resourcefulness, and strive to exhibit a positive attitude, as well as a growth mindset. You’ll be comfortable with change and flexible in a fast-paced, high-growth environment. You’ll take a collaborative approach to achieve ambitious goals. Here’s what else you’ll bring: Bachelor’s degree in computer science, information technology, or a related field, or equivalent work experience. 4+ years of hands-on experience as a DataOps Engineer in a manufacturing or automotive environment. Experience with streaming and event-based architectures. Proficiency in building data pipelines using 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. Solid understanding of cloud data storage solutions such as RDS, DynamoDB, DocumentDB, MongoDB, Cassandra, and InfluxDB. Experience implementing data lakehouse solutions using Databricks. Several years of experience working with cloud platforms such as AWS and Azure. Experience with infrastructure as code using Terraform. Proven ability to develop and deploy scalable machine learning models, including hands-on experience designing, training, and deploying models. Strong ability to extract actionable insights and use machine learning algorithms for forecasting and decision-making. Excellent problem-solving and troubleshooting skills. When a problem occurs, you run toward it, not away. Effective communication and collaboration skills. You treat colleagues with respect, value clean implementations, and remain open and humble when discussing alternative solutions. What you’ll gain The benefits of joining Scout include the chance to build products and a company from the ground up. This is a chance to create something new and lasting – with an iconic brand at its foundation. In addition, Scout provides competitive compensation and benefits to support your physical, mental, and financial wellbeing. Program specifics are detailed in company policies and employee benefit guides, select highlights: 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 Pay Transparency This is a full-time, exempt position eligible to receive a base salary and to participate in an annual performance bonus program. Final salary offered will be determined based on factors including but not limited to the candidate’s skills and experience. The annual performance bonus program is preset and not candidate dependent. Initial base salary range = $120,000.00 - $145,000.00 Internal leveling code: IC9 Notice to applicants: To be considered for career opportunities at Scout Motors, applicants must be 18 years of age or older. Residing in San Francisco : Pursuant to the San Francisco Fair Chance Ordinance, Scout Motors will consider for employment qualified applicants with arrest and conviction records. Residing in Los Angeles : Scout Motors will consider for employment qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chance Initiative for Hiring Ordinance. Residing in New York City : This role is not eligible for remote work in New York City. Equal Opportunity Scout Motors is committed to employing a diverse workforce and is proud to be an Equal Opportunity Employer. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, disability, pregnancy, or any other characteristics protected by law.Scout Motors is committed to compliance with allapplicable fair employment practice laws. If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please contact [email protected].