Data Engineer

Job Summary

Experience supporting fraud, risk, compliance, or financial crime analytics

Familiarity with large-scale data environments and data warehousing concepts

Exposure to scripting or data-processing languages such as Python (nice to have)

Experience working in regulated or financial services environments

Strong critical thinking and investigative mindset

Ability to prioritize and manage multiple research efforts simultaneously

Comfortable working with ambiguity and incomplete data

Collaborative, proactive, and detail-oriented

location: Merrimack, New Hampshire

job type: Contract

salary: $73 - 74 per hour

work hours: 8am to 5pm

education: Bachelors

Responsibilities

• Design, develop, and optimize data pipelines to support fraud research and analytics use cases
• Research and analyze fraud events by querying and correlating structured and unstructured data across multiple platforms
• Write complex, high-performance SQL queries to extract, transform, and analyze large datasets
• Work extensively with Oracle databases to support enterprise-scale fraud analytics
• Utilize MongoDB for handling semi-structured and unstructured fraud-related data
• Investigate data anomalies, identify fraud patterns, and support root-cause analysis
• Partner with fraud operations, compliance, and analytics teams to translate business questions into technical data solutions
• Ensure data accuracy, consistency, and reliability across fraud datasets
• Document data models, logic, and findings clearly for both technical and non-technical audiences
• Communicate findings effectively through written reports, presentations, and stakeholder discussions
• Support continuous improvement of fraud detection and monitoring processes through data-driven insights
  
  

Qualifications

5 years of experience in data engineering, analytics, or a related technical role

Advanced proficiency in SQL, including complex joins, subqueries, performance tuning, and data validation

Strong hands-on experience with Oracle databases

Working knowledge of MongoDB or similar NoSQL technologies

Experience researching fraud events, financial anomalies, risk signals, or suspicious activity (preferred)

Strong analytical and problem-solving skills with attention to detail

Excellent written and verbal communication skills, with the ability to explain technical findings to business partners

Ability to work independently while collaborating across cross-functional teams

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 HRsupport@randstadusa.com.

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.