Senior Data Engineer

CareScout

Posted 4mo ago

The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.

Design, build, and maintain scalable ETL/ELT pipelines using Spark, Python, SQL, and Databricks
Implement reliable ingestion frameworks for batch and streaming data sources
Ensure pipelines meet SLAs, data quality standards, and production-grade reliability
Develop robust data models across raw, curated, and semantic layers using Delta Lake
Create dimensional models, star schemas, and domain-layer datasets for analytics and ML
Implement data validation, anomaly detection, SLAs, and documentation across pipelines
Build automated tests, monitoring, and alerting for freshness, completeness, and accuracy

7+ years of experience in data engineering or related roles
Strong expertise with Python, SQL, Spark, and distributed data processing
Hands-on experience with Databricks, Delta Lake, and Lakehouse architectures
Deep understanding of ETL/ELT design, data modeling, and data quality practices
Experience building scalable, production-grade data pipelines
Experience collaborating with analytics, ML, and product teams
Strong communication skills with the ability to clarify data requirements and explain technical decisions

Skills