Data Engineer

RESPONSIBILITIES:
Kforce has a client in Dallas, TX that is looking for a Data Engineer to join their team building a new application that supports mainframe application rationalization and modernization. This application will ingest, model, and persist data used to analyze legacy systems and inform future decisions around which applications should be migrated off the mainframe. This role is heavily focused on data modeling, data architecture, and data stewardship-not just pipelines. The Data Engineer will help define how critical application data is structured, stored, and later leveraged for analysis and graph-based relationships.

What You'll Be Doing:
* Design and implement data models that support application analysis and modernization decision-making
* Build and maintain data persistence layers using PostgreSQL as the primary relational store
* Support downstream use of data in graph databases (Amazon Neptune / Neo4j) to model application dependencies and relationships
* Develop data ingestion and transformation logic using Python
* Integrate and manage analytical data in Snowflake for reporting and future analysis
* Partner closely with application engineers, architects, and stakeholders to ensure data is usable, scalable, and aligned to long-term modernization goals
* Help define data standards, schemas, and best practices for how information is stored, accessed, and evolved over time
* Operate within an AWS environment, leveraging cloud-native services where appropriate
* Ensure data quality, consistency, and traceability across systems

REQUIREMENTS:
* Strong experience as a Data Engineer or in a data-focused engineering role
* Experience working with or supporting graph databases (Neptune and/or Neo4j), especially for relationship-driven data models
* Familiarity with data rationalization, application dependency mapping, or portfolio analysis
* Proven ability to define and evolve data models, not just consume existing ones
* Strong communication skills and the ability to collaborate across technical and non-technical teams

Hands-on experience with:
* PostgreSQL (schema design, relational modeling, performance considerations)
* Python for data processing and transformation
* Snowflake for analytics and structured data storage
* AWS (core services, data-related tooling, cloud architecture)

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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