Data Engineer (Java/.NET with AML, KYC & Fraud Experience) || NYC, NY

Role: Data Engineer (Java/.NET with AML, KYC & Fraud Experience)

Location: NYC, NY (Onsite)

Duration: Long Term Contract

Interview: Virtual

Rate range: $75-80/hr. on C2C

Experience: 14+

Visa: H1B

 

Job Summary

We are seeking a skilled Data Engineer with a strong background in data engineering and prior hands-on programming experience in Java or .NET. The ideal candidate will have experience designing and building scalable data pipelines while working with Anti-Money Laundering (AML), Know Your Customer (KYC), and Fraud Detection data within the banking or financial services domain.

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT data pipelines and data integration solutions.
• Build and optimize data processing workflows using SQL and modern data engineering tools.
• Leverage prior programming experience in Java or .NET to develop data processing applications and APIs.
• Work with large volumes of structured and unstructured financial data.
• Support AML, KYC, and Fraud Detection initiatives by integrating customer, transaction, and risk data.
• Develop data models and ensure high data quality, consistency, and governance.
• Collaborate with business stakeholders, compliance teams, and solution architects to understand data requirements.
• Troubleshoot production issues and optimize data pipeline performance.
• Ensure compliance with security, regulatory, and data privacy standards.

Required Skills

• Experience in Data Engineering or Data Development.
• Prior hands-on programming experience in Java or .NET (C#).
• Strong SQL skills and experience with relational databases.
• Experience developing ETL/ELT pipelines using modern data integration tools.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Strong understanding of data warehousing concepts and data modeling.
• Experience with batch and real-time data processing.
• Knowledge of Git, CI/CD, and Agile development methodologies.

Domain Experience (Mandatory)

• Experience in Anti-Money Laundering (AML) systems.
• Experience with Know Your Customer (KYC) processes.
• Experience supporting Fraud Detection or Fraud Analytics platforms.
• Understanding of banking regulations, customer onboarding, transaction monitoring, sanctions screening, or financial crime compliance.

 

Ideal Candidate Profile

• Strong Data Engineer with previous software development experience in Java or .NET.
• Hands-on experience working on AML, KYC, and Fraud projects in the Banking/Financial domain.
• Excellent SQL, data integration, and cloud platform expertise.
• Strong analytical, troubleshooting, and communication skills.

 

 

Thanks & regards, Sonu Chauhan Sr. Technical Recruiter

571-678-0927  sonu.chauhan@1rpo.net