Senior DataOps Engineer at Scout Motors

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.