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Data Engineer
Contract: Charlotte, North Carolina, US span>
Salary Range: 65.00 - 67.00 | Per Hour
Job Code: 368991
End Date: 2026-05-28
Days Left: 27 days, 21 hours left
Work Arrangement: 3 day in office with 2 day WFH
Client Industry: Banking
Duration: 12 -18 months Contract
Schedule: Monday to Friday
Hands on senior technical role for someone who wants to architect and build the next generation of AI-enabled and autonomous data platforms, influence technical direction at scale, and directly translate business problems into real-time, AI-powered decision systems.
MUST HAVES:
- Sr. hands on experience with Hadoop, Spark, and Kafka
- Experience supporting analytics, ML pipelines, and AI
- Experience with NoSQL data stores
- Redis
- Applied real-time and event-driven architectures
- Design and deliver end-to-end data & AI solutions, from architecture through production support
- Strong communication
Day to Day:
- Responsible for designing and building enterprise-scale analytics, AI, and agentic intelligence platforms
- Moving the business from descriptive insights to predictive, prescriptive, and autonomous decisioning
- Hands-on technical execution with architecture leadership and program-level influence, partnering closely with business, data science, and engineering teams to deliver measurable outcomes
- Lead the engineering design and implementation of enterprise-scale data, analytics, and AI platforms, including reusable technology enablers that improve development efficiency and enable advanced, AI-driven customer insights
- Design and deliver end-to-end solutions—from architecture through implementation and production support—supporting analytics, machine learning pipelines, and agentic intelligence workflows based on initiative scale and complexity
- Apply deep expertise in big data and real-time processing technologies, including Hadoop, Spark, Kafka, Spark Streaming, and NoSQL data stores such as Redis, to support analytics, AI inference, and event-driven decisioning
- Engineer data pipelines and feature stores that reliably power machine learning models, real-time scoring, and autonomous agent execution across batch and streaming environments
- Define and implement data and AI engineering best practices, ensuring solutions are scalable, resilient, secure, and performant across large and diverse data sets
- Provide technical thought leadership grounded in experience across modern data, AI, and analytics platforms, including support for experimentation, model deployment, observability, and lifecycle management
- Collaborate effectively with onshore and offshore teams, fostering strong partnerships across engineering, data science, and product teams to deliver AI-enabled and agent-driven capabilities aligned to business outcomes
- Function as a senior individual contributor while also leading teams or workstreams at the program level—guiding engineers through architecture, AI integration patterns, and agent orchestration strategies
- Act as a trusted technical advisor, helping translate business needs into data-driven, AI-powered, and increasingly autonomous solutions that produce actionable and scalable insights
This range reflects base compensation and may vary based on location, market conditions, experience, and candidate qualifications.
Job Requirement
- Hadoop
- Spark
- Kafka
- Nosql
Reach Out to a Recruiter
- Recruiter
- Phone
- Ashwini Pawar
- ashwini.pawar@collabera.com