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Senior DataOps Engineer

Scout Motors Charlotte, NC, United States; Fremont, California, United StatesInformation Technology
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Salary
Not listed
Job type
Full-time
Posted
27 May 2025
Status
Open · checked 7d ago

About this role

The Senior DataOps Engineer at Scout Motors is an essential role based in Charlotte, North Carolina or Fremont, California, designed for an experienced professional ready to build foundational data platforms for AI-enabled operations. This position suits a technical visionary with a strong background in automotive or manufacturing data environments who wants to shape the future of electric vehicles.

Role Overview

Operating within the Data Platform Team, this position centers on creating secure, scalable, and distributed data systems that enable real-time insights and decision-making. The professional in this role will build the infrastructure required to deploy artificial intelligence use cases across company operations. Responsibilities require working on-site four to five days a week at either the Charlotte, NC or Fremont, California corporate locations, with occasional travel for company events.

Key Responsibilities

Contribute to the design, automation, maintenance, and operational support of enterprise cloud data platforms using Databricks, AWS, and Infrastructure as Code.
Lead the development, optimization, and management of enterprise-scale ETL and ELT pipelines within Databricks.
Build and maintain batch and streaming data pipelines with PySpark, Spark SQL, Delta Lake, and Databricks Workflows.
Configure and manage Databricks clusters to ensure performance, reliability, scalability, and cost efficiency.
Design and build data models using tools like Lucid, Talend, Erwin, and MySQL workbench while enforcing data governance policies.
Design, train, and deploy machine learning models and implement monitoring solutions to identify potential issues proactively.
Collaborate with security, software development, product, and business teams to deliver robust data integration solutions and BI dashboards.

Requirements

Bachelor's degree in computer science, information technology, or a related field, or equivalent practical work experience.
Minimum of 7 years of hands-on DataOps engineering experience within a manufacturing or automotive environment.
Demonstrated experience with streaming architectures, event-based designs, and data lakehouse implementations utilizing Databricks.
Proficiency in building data pipelines with Python and SQL alongside Infrastructure as Code using Terraform.
Working knowledge of AWS data services such as Glue, Kinesis, and Firehose, as well as cloud storage solutions like RDS, DynamoDB, MongoDB, Cassandra, and InfluxDB.
Experience working with cloud platforms including AWS and Azure.
Proven ability to design, train, deploy, and leverage scalable machine learning models for forecasting and trend analysis.
Strong problem-solving abilities and effective cross-functional communication skills.

Skills and Tools

Python
SQL
AWS
Azure
Spark
Terraform
Databricks
PySpark
Delta Lake
MySQL

Salary and Benefits

Initial base salary range of $140,000 to $170,000, with a California base salary range of $154,000 to $187,000, plus eligibility for an annual performance bonus program.
Comprehensive insurance coverage including medical, dental, vision, and income protection plans.
401(k) program featuring an employer match and immediate vesting.
Generous paid time off including 20 planned PTO days, 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.
Paid leave for bereavement, jury duty, military leave, and voting time.

About the Company

Scout Motors revives a legendary American vehicle brand dating back to 1960, electrifying and digitizing rugged SUVs and trucks with modern innovation. The company values respect for communities, customers, and history, offering both all-electric powertrains and the Harvester range extender powertrain. Scout Motors empowers inclusive, entrepreneurial teams to drive change and build lasting products from the ground up.

How to Apply

Interested candidates should visit the official Scout Motors careers page to submit an application and review complete employment details.

Skills and tech stack

PythonSQLAWSAzureSparkTerraform

Questions candidates ask

What are the location requirements for the Senior DataOps Engineer?

This role is based out of the Scout Motors corporate headquarters in Charlotte, North Carolina or Fremont, California, requiring 4 to 5 days of in-office attendance per week.

What is the salary range for this position?

The initial base salary ranges from $140,000 to $170,000, while the initial California base salary ranges from $154,000 to $187,000. The position is also eligible for an annual performance bonus program.

How many years of experience are required?

Applicants must have 7+ years of hands-on experience as a DataOps Engineer in a manufacturing or automotive environment.

What core technical skills and tools are needed?

Required skills include Python, SQL, AWS, Azure, Spark, Terraform, Databricks, PySpark, and Delta Lake, alongside experience with machine learning model deployment.

What benefits does Scout Motors offer?

Benefits include competitive medical, dental, and vision insurance, a 401(k) program with an employer match, up to 16 weeks of paid parental leave, and generous paid time off including 20 planned PTO days.

Ready to apply?

The application is on the official Scout Motors careers page.

Apply on company site