This role requires candidates who are currently authorized to work in the U.S. without sponsorship, and C2C arrangements are not accepted. This role is hybrid in Torrance, CA.
Overview
The Analytics Data Engineer designs, builds, and maintains scalable data infrastructure and integrations that support enterprise analytics and operational systems. This role focuses on enabling reliable data flow across Warehouse Management Systems (WMS), ERP platforms, and other business applications to ensure high data quality, security, and availability for reporting and decision-making.
Key Responsibilities
- Design, build, and support data pipelines, databases, and data warehouse / lake architectures
- Develop ETL processes to ensure accurate, consistent, and reliable data across systems
- Build and maintain integrations between WMS, TMS, ERP, and other enterprise platforms using APIs and SQL-based tools
- Monitor database performance and troubleshoot data and pipeline issues
- Develop database maintenance, optimization, and archiving solutions
- Partner with application, analytics, and business teams to deliver data solutions for reporting and analytics
- Implement data security, access controls, and governance best practices
Qualifications
Bachelor's degree in Computer Science, Information Systems, Data Analytics, or related field7+ years of experience in data engineering, data warehousing, or Lakehouse environmentsStrong proficiency in Python and SQL, including stored procedures and data loading processesExperience with Microsoft data platforms (e.g., Azure, Fabric, Synapse or similar)Hands-on experience with ETL tools and data integration frameworksExperience integrating ERP and WMS platformsExperience building analytical datasets and dashboards using Power BI or similar tools