Data Engineer

Kforce has a client that is seeking a Data Engineer in Merrimack, NH.

Key Tasks:

• 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* 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

Preferred Qualifications:

• 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