Data Ops Engineer

Scout Motors • Charlotte, NC

3d • Hybrid

About The Position

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.

Requirements

• 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.

Responsibilities

• 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.

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Associate degree