Data Engineer

Job Summary

To support advanced fraud analytics, the full-time remote Data Engineer will design, develop, and maintain scalable enterprise data pipelines, managing the ingestion, transformation, quality control, and optimization of structured and unstructured data across cloud-based platforms.

Key responsibilities

• Design, build, and maintain scalable ETL pipelines across diverse data sources
• Utilize strong SQL and Python skills to ingest and transform data from various formats and sources
• Implement standard quality control processes to ensure data quality, lineage, reliability, and performance while collaborating with cross-functional teams

Required qualifications

• Minimum 3 years of data engineering experience
• Strong SQL and Python programming skills
• Experience building ETL pipelines
• Experience with Databricks and Azure SQL or SQL Server
• Familiarity with data governance and data quality practices