Scout Motors Inc. · 1 month ago
Data-Driven Quality Engineer
Scout Motors is dedicated to reviving an iconic American vehicle brand with a focus on electric vehicles. The Data-Driven Quality Engineer will play a crucial role in enhancing quality management processes through data analytics and insights.
AutomotiveElectric VehicleIndustrialManufacturing
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
Qualification
Required
A Bachelor's or Master's in Computer Science, Data/Industrial/Mechanical Engineering, or related field
4+ years in data engineering/analytics or ML engineering, including 2+ years hands-on with Databricks/Spark
Ability to translate complex data and model outputs into clear business decisions for technical and non-technical audiences
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
Preferred
Databricks Data Engineer Professional and/or Machine Learning Professional
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
Company
Scout Motors Inc.
Scout is more than just a brand, it’s a legacy steeped in a culture of exploration, caretaking, and hard work.
H1B Sponsorship
Scout Motors Inc. has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (8)
2024 (9)
Funding
Current Stage
Late StageRecent News
2025-12-22
2025-12-08
2025-12-03
Company data provided by crunchbase