> Markdown version of [/jobs/ext/4013676-sr-data-engineer](https://www.wearedevelopers.com/jobs/ext/4013676-sr-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. Data Engineer - **Company:** Resourcesoft, Inc. - **Location:** Los Angeles, CA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Backup Devices, Cloud Computing, Cloud Database, Cloud Engineering, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Recovery, Data Warehousing, Job Scheduling, Oracle Databases, Oracle (Applications), Performance Tuning, Cloud Platform System, Snowflake, Database Performance, Star Schema, Data Management, Database Backup, Data Pipelines - **Published:** October 29, 2026 - **Apply:** https://www.careerbuilder.com/job-details/sr-data-engineer-los-angeles-ca--6ee38b75-fe79-4263-afc2-7e706fdebf98 ## About the Role Data Warehousing, Oracle, Snowflake Schema, Cloud Computing, Data Modeling, Performance Tuning/Optimization, Cloud Architecture, Data Recovery, Database Backup, Communication Skills, * 7 years or more of experience with data engineering, Oracle development, and enterprise data warehouse environments. * Proficiency in dbt and Snowflake for cloud data transformation, modeling, and modernization initiatives. * Experience with migrating legacy Oracle databases and data platforms to Snowflake using dbt. * Experience with ETL/ELT development, data mappings, transformations, job scheduling, and pipeline troubleshooting. * Experience in database infrastructure, backup and recovery, security, performance tuning, and cloud architecture. * Excellent verbal and written communication skills. ## Description * Lead migration of legacy Oracle databases and warehouse workloads to the Snowflake cloud platform. * Build and optimize dbt models, transformations, and data pipelines for scalable cloud analytics. * Design, schedule, and troubleshoot ETL/ELT processes and source-to-target data mappings. * Manage database performance, security, backup, recovery, and infrastructure reliability across environments. * Coach engineering team members on cloud data architecture standards and engineering best practices. * Coordinate UAT activities and drive migration deliverables through validation, approval, and completion.