Base salary not specified; annual performance bonu...
On-site
7+ years dataops experience in automotive
Databricks and aws cloud services expertise
Pyspark and spark sql pipeline development
The role focuses on building the foundation for deploying AI-enabled use cases across company operations within a secure and scalable data platform
Job Summary
The role focuses on building the foundation for deploying AI-enabled use cases across company operations within a secure and scalable data platform.
Candidates will lead the design and optimization of enterprise-scale ETL/ELT pipelines using Databricks, PySpark, and Delta Lake.
Scout Motors offers competitive compensation including medical, dental, vision plans, a 401(k) match with immediate vesting, and up to 16 weeks of paid parental leave.
Matching Summary
The role focuses on building the foundation for deploying AI-enabled use cases across company operations within a secure and scalable data platform.
Salary
Base salary not specified; Annual performance bonus program eligible; Competitive insurance and 401(k) match included
Skills & Requirements
Must-have
7+ years DataOps experience in automotive
Databricks and AWS cloud services expertise
PySpark and Spark SQL pipeline development
Infrastructure as Code with Terraform
Streaming and event-based architecture
ML model design and deployment
Data governance and compliance adherence
Nice-to-have
Experience with Lucid or Talend modeling tools
Knowledge of time series databases like Influx
Strong problem-solving and troubleshooting skills
Collaborative approach in fast-paced environments
Ability to visualize trends with BI dashboards
Key Requirements
Bachelor's degree in computer science or related field
7+ years hands-on experience as DataOps Engineer
Experience in manufacturing or automotive environment
Proficiency in Python and SQL for data pipelines
Hands-on experience with AWS Glue, Kinesis, and Firehose