Data-Driven Quality Engineer

Overview

Here at Scout Motors, we’re carrying forward the heritage of iconic American vehicles and shaping the future of transportation with electric mobility. Scout Motors emphasizes a culture of exploration, caretaking, and hard work, with a brand built on respect for environment, heritage, communities, and the balance of work and play. We empower our teams to innovate and be visionary leaders who collaborate to build better.

If you’re ready to drive change and make history, apply now.

Become part of an iconic brand set to revolutionize the electric pickup truck and rugged SUV marketplace.

Responsibilities include:

• Ingest data from legacy and modern IT systems into a Databricks lakehouse (e.g., JIRA, Confluence, on-prem/plant systems, SQL/No
  
  SQL sources, flat files, APIs).
• Build robust ELT pipelines with Python, SQL, and PySpark; model data for analytics and enforce governance with Unity Catalog.
• Implement automated data quality checks and reconciliation; design lineage/observability for pipelines and jobs.
• Develop forecasting, anomaly detection, and root-cause analytics using Databricks ML, MLflow, and Model Registry; operationalize models via batch jobs or inference endpoints.
• Create KPI calculations for manufacturing/quality (e.g., FPY, PPM, Cp/Cpk, SPC trends) and document them as a single source of truth.
• Visualize results in Sigma Computing and Power BI, and deliver lightweight custom React web apps for interactive diagnostics.
• Orchestrate and product ionize workloads with Databricks Workflows; implement CI/CD (Git/Git Hub Actions/Azure Dev Ops); write unit/integration tests (pytest).
• Coordinate with Production/Manufacturing, Manufacturing IT, data owners/stewards, and the enterprise LLM/OpenAI platform team to ensure data availability, access, SLAs, and safe model functionality.
• Role based at Scout Motors location in Columbia, SC/Blythewood, SC with daily in-office attendance and regular in-person meetings and events. Occasional travel to participate in company events may be required.

We expect integrity, curiosity, resourcefulness, a positive attitude, and a growth mindset. You’ll be comfortable with change and work well in a fast-paced environment with a collaborative approach to ambitious goals. Here’s what else you’ll bring:

• Education/Certifications
  :
• A Bachelor’s or Master’s in Computer Science, Data/Industrial/Mechanical Engineering, or related field.
• Nice to have:
  Databricks Data Engineer Professional and/or Machine Learning Professional.

• Years of Experience
  : 4+ years in data engineering/analytics or ML engineering, including 2+ years hands-on with Databricks/Spark.
• Communication
  :
• Ability to translate complex data and model outputs into clear business decisions for technical and non-technical audiences.

• Technical Proficiency
  :
• Strong Python (pandas, PySpark) and SQL; performance tuning for Spark jobs and Delta Lake tables.
• Databricks lakehouse expertise:
  Unity Catalog, Delta Live Tables, MLflow, Feature Store, Model Registry.
• Data integration: REST/JDBC connectors, OAuth/service accounts, batch & streaming.
• Data quality & governance: validation frameworks, lineage, access controls, secrets management, auditability.
• MLOps: experiment tracking, reproducible training, model packaging, CI/CD, monitoring/drift detection, safe rollback.
• BI:
  Power BI (including DAX), Sigma Computing.
• Web applications:
  React + Type Script, FastAPI/Flask, OAuth2, Docker, Git Hub Actions CI/CD; integration with Databricks SQL & ML endpoints.
• Orchestration & Dev Ops:
  Databricks Workflows, Git-based workflows, automated testing (pytest).

Competitive compensation and benefits to support physical, mental, and financial wellbeing. Highlights include comprehensive insurance options, a 401(k) with employer match and immediate vesting, and generous PTO and parental leave policies. Details are described in company policies and benefit guides.

This is a full-time, exempt position with base salary and an annual performance bonus program. Initial base salary range: $95,000.00 – $. Internal leveling code: IC9.

Scout Motors is committed to employing a diverse workforce and is 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, or any other characteristics protected by law. If you require reasonable accommodation to complete an application or participate in hiring, please contact ScoutA