Data Engineer
Full Time
full time
6 Oct 2025
About the job
• Build and maintain **Kafka pipelines** for claims data ingestion and routing.
• Develop ETL/ELT processes for integrating Amisys, Facets, ABS, and Excelys into Pisces.
• Implement schema validation and ensure data quality across multiple sources.
• Collaborate with BSAs and QA to deliver accurate edits and exclusions.
Requirements
- Location: Coppel, TX and NY (Hybrid with 2-3 days WFO per week)
- Proficiency in **Kafka, Python, SQL** (for ETL and data validation).
- Experience with **cloud-native data platforms** (AWS Glue, Azure Data Factory, GCP Dataflow).
- Familiarity with **MongoDB, Talend, or other integration tools**.
- Strong data modeling, schema design, and performance optimization knowledge.
- Ability to debug data pipeline issues in large-scale environments
🔍 ATS Optimization Keywords
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Hard Skills
- Kafka
- Python
- SQL
- ETL
- ELT
- data validation
- data modeling
- schema design
- performance optimization
- debugging
