Data Engineer

Kforce has a client in NYC that is seeking a Data Engineer to join a core engineering squad within our enterprise technology division. This hands-on role requires deep technical knowledge in enterprise data architecture and a proven history of processing highly sophisticated, large-scale transaction datasets. You will spearhead the creation of robust data pipelines, incorporate advanced automated analytics and document processing tools, and link multi-cloud data environments. This position operates on-site at our regional office on a hybrid schedule.

Core Responsibilities:

• Unified Framework Architecture: Oversee the design, construction, and modernization of our centralized data network, establishing repeatable methodologies for information access, governance, and delivery across internal departments

• Modern Lakehouse Formats: Direct the evolution of our lakehouse storage framework, overseeing ingestion, data delivery, replication, stream management, speed tuning, and standard lifecycle procedures for both reporting and production environments

• Distributed Computing: Formulate the system processing strategy across stateful, stateless, and clustered computing environments

• Real-Time Streaming: Architect and promote message-based, real-time messaging patterns for immediate information ingestion and cross-system connection

• Strategic Planning: Convert business needs into clear technical milestones

• Cross-Functional Leadership: Direct technical strategy across critical platform domains. Engineering Rigor: Standardize operational frameworks for data verification, tracing, compliance, and monitoring

• Technical Mentorship: Guide developing engineers, elevating development standards regarding design validation, code quality, and technical accountability

• Education: Technical degree in a relevant field like Software Engineering, Computer Science, or equivalent practical experience
• Experience: 4+ years of experience navigating enterprise database design, clustered computing, or infrastructure orchestration, with clear tenure operating in an influential technical capacity
• Mindset: An infrastructure-first mindset with a history of delivering high-capacity storage ecosystems focused on developer productivity and data tracking
• Table Formats: Comprehensive hands-on deployment of modern open-source table formats (such as Iceberg or Delta), including storage partition strategies, metadata oversight, and performance optimization
• Compute Engines: Deep knowledge of clustered compute engines, workflow orchestration tools, system recovery, and computational tuning
• Messaging: Proven implementation of asynchronous communication models using modern broker networks and messaging flows
• Analytics: Experience optimizing data ecosystems for production analytics, including specialized pipeline building and model deployment workflows
• Languages: Professional fluency in scripting languages (such as Python and SQL); Familiarity with object-oriented languages (like Java or Scala) and enterprise processing tools is a strong plus
• DevOps Tools: Competency working with cloud-managed containerization tools, infrastructure-as-code automation, and centralized system monitoring software
• Leadership: Ability to direct high-stakes architectural choices, influence engineering directions, and bridge communication gaps between technical teams and business directors
• Communication: Excellent presentation skills, with a capability to explain complicated cloud infrastructure concepts to non-technical partners

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.