Remote Data Engineer for Fraud Analytics & Investigations

Praescient Analytics; Fairfax (VA); Hybrid; USD 90,000 - 120,000; Full time

Benefits offered by this job

Competitive salary based on qualifications

Comprehensive Company paid healthcare

401(k) with company match

3 weeks paid time off plus Federal Holidays

$5K annual training allowance

Tuition reimbursement program

Job summary

Praescient Analytics is searching for a Data Engineer to develop scalable data pipelines that support advanced fraud analytics initiatives. Located remotely, this role requires the ability to design and maintain robust systems while ensuring data quality and reliability. Ideal candidates should possess strong SQL and Python skills and be skilled in managing cloud-centric data solutions.

Applicants should have experience with data governance and be passionate about solving complex data challenges. Benefits include competitive salary, paid healthcare, and professional development funds.

Qualifications

• Must have experience with Fraud Analysis.
• Three or more years of professional experience in data engineering.
• Experience designing and optimizing scalable ETL pipelines.

Responsibilities

• Design and optimize scalable ETL pipelines for analytics.
• Ingest and transform data from various sources.
• Implement data quality validation and monitoring processes.

Skills

SQL

Python

Data Integration

ETL Pipelines

Data Quality Controls

Tools

Databricks

SQL Server

Azure Data Lake Storage

Apache Spark

Job description

Praescient Analytics is searching for a Data Engineer to develop scalable data pipelines that support advanced fraud analytics initiatives. Located remotely, this role requires the ability to design and maintain robust systems while ensuring data quality and reliability. Ideal candidates should possess strong SQL and Python skills and be skilled in managing cloud-centric data solutions.

Applicants should have experience with data governance and be passionate about solving complex data challenges. Benefits include competitive salary, paid healthcare, and professional development funds.