Lead Data Engineer
Perform
full-time
Posted on:
Location Type: Hybrid
Location: Los Angeles • United States
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Job Level
About the role
- Lead data engineering execution for complex application initiatives
- Design and deliver data migrations between systems, including: Data mapping and transformation, Validation and reconciliation, Ensuring accuracy and completeness across environments
- Build and maintain production-grade data pipelines, APIs, and data management tools
- Model data and analyze source and target schemas
- Write complex SQL and work with both relational and NoSQL databases
- Resolve data quality issues during migrations
- Support continuous delivery across the lifecycle: design, build, deploy, test, monitor, and support
- Contribute to discussions around data quality, testing strategy, and automation
- Collaborate closely with engineers and stakeholders in an agile environment
Requirements
- Minimum 7+ years working in a Data Science lead role
- Proficiency in Python with a history of delivering production pipelines
- Experience building production scripts or services used for data movement and validation
- Experience with the Azure data stack (Azure Data Factory, Azure Data Lake, Tabular Model / DAX, Microsoft Fabric) is preferred
- Strong experience with SQL and NoSQL production experience
- Expertise with SQL Server and MongoDB
- Comfortable modeling data and analyzing source and target schemas
- Writing complex queries and resolving data quality issues during migration
- Strong verbal and written skills
Benefits
- Flexible work arrangements
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data engineeringdata migrationdata mappingdata transformationSQLNoSQLdata pipelinesdata managementdata qualitydata modeling
Soft Skills
leadershipcommunicationcollaborationproblem-solvingagile methodology