Senior Data Engineer – Fraud AnalyticsLocation: Merrimack NH / Smithfield RIOn-site/Remote/Hybrid: OnsiteDuration: 6-12 MonthsThe RoleThe Senior Data Engineer – Fraud Analytics is responsible for designing, building, and maintaining data solutions that support the research, detection, and analysis of fraud events. This role partners closely with fraud analysts, investigators, and business stakeholders to transform large, complex datasets into actionable insights that reduce fraud risk and improve detection strategies.Key ResponsibilitiesDesign, develop, and optimize data pipelines to support fraud research and analytics use casesResearch and analyze fraud events by querying and correlating structured and unstructured data across multiple platformsWrite complex, high-performance SQL queries to extract, transform, and analyze large datasetsWork extensively with Oracle databases to support enterprise-scale fraud analyticsUtilize MongoDB for handling semi-structured and unstructured fraud-related dataInvestigate data anomalies, identify fraud patterns, and support root-cause analysisPartner with fraud operations, compliance, and analytics teams to translate business questions into technical data solutionsEnsure data accuracy, consistency, and reliability across fraud datasetsDocument data models, logic, and findings clearly for both technical and non-technical audiencesCommunicate findings effectively through written reports, presentations, and stakeholder discussionsSupport continuous improvement of fraud detection and monitoring processes through data-driven insightsThe Expertise and Skills You BringRequired Skills5+ years of experience in data engineering, analytics, or a related technical roleAdvanced proficiency in SQL, including complex joins, subqueries, performance tuning, and data validationStrong hands-on experience with Oracle databasesWorking knowledge of MongoDB or similar NoSQL technologiesExperience researching fraud events, financial anomalies, risk signals, or suspicious activity (preferred)Strong analytical and problem-solving skills with attention to detailExcellent written and verbal communication skills, with the ability to explain technical findings to business partnersAbility to work independently while collaborating across cross-functional teamsPreferred QualificationsExperience supporting fraud, risk, compliance, or financial crime analyticsFamiliarity with large-scale data environments and data warehousing conceptsExposure to scripting or data-processing languages such as Python (nice to have)Experience working in regulated or financial services environmentsStrong critical thinking and investigative mindsetAbility to prioritize and manage multiple research efforts simultaneouslyComfortable working with ambiguity and incomplete dataCollaborative, proactive, and detail-orientedAbout Us:InterSources Inc, is a Small, Woman, and Minority-Owned Business Enterprise, ISO/IEC 27001, SOC 2 Type 2 certified company with massive 18+ years of diversified experience in providing IT Consulting Services, Artificial Intelligence, Data Analysis, Application Development, Cloud Services, Cybersecurity, Digital Marketing, ERP Management, Custom Software Development, Web Development, UI/ UX Design, System Integration, QA Support etc. We make reasonable accommodations for clients and employees, and we do not discriminate based on any protected attribute including race, religion, color, national origin, gender sexual orientation, gender identity, age, or marital status.
We also are a Google Cloud and Oracle partner company.