Data Engineer

RESPONSIBILITIES:
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

REQUIREMENTS:
* 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

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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