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NEXTMOVEFDE careers · United States

Senior DataOps Engineer

Technologies

Databricks · Terraform · Python · SQL · AWS Glue · AWS Kinesis · AWS Firehose · RDS · DynamoDB · ML models

About Scout Motors

Builds direct-to-consumer rugged electric and range-extended SUVs/trucks, reviving the Scout brand with Volkswagen backing and U.S. manufacturing.

Acquired · 1000–2000 people

Job description

The full responsibilities and requirements are on the employer’s site.

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Source and classification

Internal deployment & tooling · Evidence for this classification:

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
More from the job description

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 Scou [... source excerpt omitted ...] ent 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 based out of the Scout Motors corporate headquarters in Charlotte, NC or Fremont, California. The responsibilities of this role require 4-5 days attendance in office with in-person meetings and events regularly. Applicants should expect that the role will require the ability to convene with Scout colleagu [... source excerpt omitted ...] 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. 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 bas

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