The Role Design, build, optimize, and operate enterprise cloud data platforms and Databricks ETL/ELT pipelines. Develop batch and streaming pipelines, data models, infrastructure-as-code solutions, BI dashboards, monitoring, and scalable ML models. Ensure platform reliability, governance, security, and compliance while collaborating with software, systems, product, and business teams. Summary Generated by Built In 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! 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, automation, maintenance, and operational support of enterprise-scale cloud data platforms leveraging Databricks, AWS cloud services, and modern Infrastructure as Code (IaC) 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 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.

Location & Travel Expectations :

This role is remote and based within the United States. 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 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 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. 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 = $140,000.00 - $170,000.00 Initial California base salary range = $154,000 - $187,000 Internal leveling code: IC8 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 all ap p licable fair employment p ractice 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 ScoutAccommodations@scoutmotors.com. Read Full Description Skills Required Bachelor's degree in computer science, information technology, or a related field, or equivalent work experience 8+ years of hands-on DataOps Engineering experience 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 using Terraform Proficiency building data pipelines with Python and SQL Experience with AWS data services, including Glue, Kinesis, and Firehose, or comparable services Experience with structured, unstructured, and time-series databases Understanding of cloud data storage solutions such as RDS, DynamoDB, DocumentDB, MongoDB, Cassandra, and InfluxDB Several years of experience working with AWS and Azure cloud platforms Proven ability to develop and deploy scalable machine learning models Hands-on experience designing, training, and deploying machine learning models Ability to extract actionable insights using machine learning techniques Ability to use machine learning algorithms for forecasting trends and decision-making Strong problem-solving and troubleshooting skills Effective communication and collaboration skills Scout Motors Inc. Compensation & Benefits Highlights The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Scout Motors Inc. and has not been reviewed or approved by Scout Motors Inc.. About This Summary Fair & Transparent Compensation — Pay is positioned as competitive to strong based on a high announced average salary commitment for Charlotte HQ roles and multiple six‑figure posted ranges across corporate and technical jobs. Manufacturing and skilled‑trades wages are also presented as competitive for the South Carolina region, with hourly ranges and annualized figures frequently landing at or above typical benchmarks. Leave & Time Off Breadth — Time off appears broad and clearly structured in multiple role descriptions, including planned and unplanned PTO plus a defined set of company/floating holidays. The consistency of these elements across postings suggests a standardized, well-articulated approach to time off. Parental & Family Support — Parental leave is described as substantial, with up to 16 weeks of paid leave for all genders and adoptive parents in several role descriptions. Childcare support is also explicitly referenced in some manufacturing-focused communications, indicating additional family-oriented benefits in at least part of the organization. Learn more about Scout Motors Inc.'s Compensation & Benefits → Scout Motors Inc. Insights What's It Like to Work at Scout Motors Inc.? Scout Motors Inc. Culture & Values Scout Motors Inc. Career Growth & Development What's the Work-Life Balance Like at Scout Motors Inc.? Scout Motors Inc. Leadership & Management Scout Motors Inc. Company Growth, Stability & Outlook View all jobs at Scout Motors Inc. View Scout Motors Inc. Profile Report Job