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Job summary
A data solutions company in Arlington, VA seeks a motivated Senior Data Engineer to build and maintain data pipelines for fraud detection analytics. This hybrid role requires 8+ years of data engineering experience, with a strong emphasis on analytics in regulated environments. The ideal candidate has deep expertise in supporting large-scale production systems and must possess a Bachelor’s degree in a relevant field. Responsibilities include ensuring reliable analytics workflows and collaborating with IT teams.
Qualifications
8+ years of experience in data engineering or production analytics.
3+ years in fraud detection or regulated environments.
Expertise with large datasets in distributed environments.
Responsibilities
Design and maintain data pipelines for fraud detection analytics.
Integrate analytical models into production systems.
Support testing and validation of analytical models.
Skills
Data engineering
Fraud detection
SQL
Python
Analytical workflows
Education
Bachelor of Science in relevant field
Tools
Databricks
PostgreSQL
Job description
A data solutions company in Arlington, VA seeks a motivated Senior Data Engineer to build and maintain data pipelines for fraud detection analytics. This hybrid role requires 8+ years of data engineering experience, with a strong emphasis on analytics in regulated environments. The ideal candidate has deep expertise in supporting large-scale production systems and must possess a Bachelor’s degree in a relevant field. Responsibilities include ensuring reliable analytics workflows and collaborating with IT teams.