Machine Learning Engineer

job summary

We are seeking a Senior Data Engineer to join our Anti-Money Laundering (AML) / Risk Tech organization. You will be a core member of the Nexus Data Engineering team, responsible for building and scaling high-criticality pipelines that process customer and investigator data for global AML use cases.

This role sits within a sophisticated distributed engineering environment, handling "Wires" pipelines and data ingestion from various Lines of Business (LOBs). You will manage the full SDLC, ensuring data quality, rigorous validation, and seamless production support.

location: McLean, Virginia

job type: Contract

salary: $75.64 - 83.71 per hour

work hours: 8am to 5pm

education: Bachelors

responsibilities

Key Responsibilities

• Pipeline Engineering: Design, build, and maintain complex data pipelines using PySpark, Python, and Snowflake.
• Infrastructure & Migration: Support large-scale migrations (DFS and CAS) and leverage AWS cloud services for distributed data processing.
• End-to-End SDLC: Lead the full development lifecycle, from initial requirements and testing to production deployment and ongoing support.
• Data Integrity: Implement robust data quality checks and validations to ensure accuracy for risk-sensitive AML applications.
• Ownership: Independently drive technical workstreams while collaborating within a pod-based team structure.

qualifications

Core Proficiency: Minimum 5+ years of professional experience with Python, SQL, and PySpark.

Cloud Expertise: Hands-on experience with AWS and managing data within a Data Lake/Snowflake architecture.

Distributed Systems: Strong background in distributed engineering and processing massive datasets.

Migration Experience: Specific experience with DFS and/or CAS migrations is highly preferred.

Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact

Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).

This posting is open for thirty (30) days.