Data-Driven Quality Engineer

Scout Motors•Columbia, SC

2d•$95,000 - $120,000•Onsite

About The Position

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! About the team The Production Quality Department within Scout includes Body Shop, Paint Shop, General Assembly and Central Quality Management Teams. A Data-Driven Quality Senior Specialist at Scout Motors plays a pivotal role within the Quality Department by ensuring that data-driven insights inform and enhance quality management processes. This position focuses on leveraging data analytics to uphold and improve the quality standards of Scout Motors.

Requirements

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.
Education/Certifications : A Bachelor’s or Master’s in Computer Science, Data/Industrial/Mechanical Engineering, or related field.
Years of Experience required in type of role: 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. 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 (or equivalent pattern), MLflow, Feature Store, Model Registry.
Data integration: REST/JDBC connectors, OAuth/service accounts, batch & streaming (e.g., Auto Loader; Kafka/Kinesis a plus).
Data quality & governance: expectations/validation frameworks, lineage, access controls, secrets management, and auditability.
MLOps: experiment tracking, reproducible training, model packaging, CI/CD, monitoring/drift detection, safe rollback.
BI: Power BI (including DAX), Sigma Computing (including Sigma web apps).
Web applications: React + TypeScript, FastAPI/Flask, OAuth2, Docker, GitHub Actions CI/CD; integration with Databricks SQL & ML inference endpoints.
Orchestration & DevOps: Databricks Workflows, Git-based workflows, automated testing (pytest), code review.

Nice To Haves

Databricks Data Engineer Professional and/or Machine Learning Professional.

Responsibilities

Ingest data from legacy and modern IT systems (e.g., JIRA, Confluence, on-prem/plant systems, SQL/NoSQL sources, flat files, APIs) into a Databricks lakehouse.
Build robust ELT pipelines with Python, SQL, and PySpark; model data for analytics (Delta Lake, medallion architecture) and enforce governance with Unity Catalog.
Implement automated data quality checks and reconciliation (e.g., Great Expectations/Deequ) and design lineage/observability for pipelines and jobs.
Develop forecasting, anomaly detection, and root-cause analytics using Databricks ML, MLflow, and the 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 (including DAX measures), and deliver lightweight custom React web apps for interactive diagnostics.
Orchestrate and productionize workloads with Databricks Workflows, implement CI/CD (Git/GitHub Actions/Azure DevOps), and write unit/integration tests (pytest).
Cross-functional data & LLM alignment: Proactively coordinate with Production/Manufacturing (shopfloor, MES/MOM), Manufacturing IT, data owners/stewards, and the enterprise LLM/OpenAI platform team to ensure data availability, access, SLAs, and safe model functionality.

Benefits

The benefits of joining Scout include the chance to build products and a company from the ground up . This is a chance to create something new and lasting – with an iconic brand at its foundation .
In addition, Scout provides competitive compensation and benefits to support your physical, mental, and financial wellbeing.
Program specifics are detailed in company policies and employee benefit guides, select highlights:
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

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