Senior Data Engineer
New
K
KinderCare Learning CompaniesEarly Childhood Education
United StatesFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 7+ years
- Required Skills
- PythonSQLETLMLFlowAzureCI/CDDatabricksPySpark
Requirements
- Bachelor’s degree in computer science, information systems, engineering, statistics, or equivalent experience.
- 7+ years of experience as a data engineer.
- 3+ years specifically architecting and operating production workloads on Databricks.
- Deep expertise in Databricks Lakehouse: Delta Lake, Unity Catalog, Delta Live Tables, and Workflows.
- Advanced SQL and strong Python (PySpark) development skills.
- Proven experience in lakehouse/medallion architecture design and data modeling.
- Experience with Agile methodologies, CI/CD, and Test-Driven Development.
- Knowledge of governed or regulated environments (e.g., SOX, HIPAA).
- Familiarity with cloud data services (Azure preferred, AWS/GCP acceptable).
- Databricks certifications (e.g., Data Engineer Professional) strongly preferred.
Responsibilities
- Design, build, and optimize production-grade ETL/ELT pipelines across the medallion architecture using Delta Lake, Delta Live Tables, and Databricks Workflows.
- Manage platform performance tuning, cost efficiency, and resource governance.
- Architect and enforce data models supporting Microsoft Fabric and Power BI.
- Build and maintain CI/CD pipelines for Databricks assets using Agile and Test-Driven Development.
- Administer Unity Catalog, including access control, lineage, and row/column-level security.
- Maintain SOX ITGC alignment through access reviews, change control, and auditable engineering practices.
- Productionize Databricks-native AI/ML capabilities including MLflow, Feature Store, and vector search.
- Mentor mid-level engineers on best practices and architectural rigor.
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