Consulting Data Engineer - Remote

Big Data Engineer / Solutions Architect • • WE WILL NOT BE PARTNERING WITH AGENCIES ON THIS ROLE • • Role Overview As a Data Engineer / Solutions Architect within a Professional Services organization, you will partner with customers on short to midterm engagements to address complex data and analytics challenges using a modern cloud-based data platform. This role combines hands-on technical delivery with customer-facing consulting, helping clients design, build, and operationalize data solutions that maximize the value of their data. You will deliver data engineering, analytics, and cloud-focused projects that often involve integration with existing customer systems, enablement and training, and other technical tasks. This is a billable, delivery-oriented role that requires strong execution against defined scopes with a high standard of customer service. You will report to a regional delivery leader. Key Responsibilities • Deliverimpactful customer technical projects, including: • Designing and building reference architectures • Creating technical guides and implementation documentation • Productionalizing customer use cases • Partner with engagement managers to scope professional services work based on customer objectives and technical requirements • Guide strategic customers through large-scale, transformational data initiatives, including third-party migrations and end-to-end solution design, build, and deployment • Provide architectural and design guidance to help customers successfully evaluate, adopt, and scale a modern data platform • Lead or bootstrap customer projects to ensure successful technical outcomes • Provide escalated technical support for customer operational issues during engagements • Collaborate closely with internal technical resources (engineering, architecture, project management, and support teams) and customer stakeholders to ensure successful delivery of all technical components • Share implementation feedback with product and support teams and help drive rapid resolution of engagement-specific issues Required Qualifications • 6+ years of experience in data engineering, data platforms, or analytics • Strong coding experience in Python and/or Scala • Working knowledge of two or more major cloud environments (e.g., AWS, Azure, GCP), with deep expertise in at least one • Extensive experience with distributed data processing and large-scale compute frameworks • Understanding of runtime internals and performance optimization in distributed systems • Familiarity with CI/CD practices for production deployments • Working knowledge of MLOps concepts and workflows • Proven experience designing and deploying performant, end-to-end data architectures • Strong technical project delivery experience, including managing scope and timelines • Excellent documentation, whiteboarding, and technical communication skills • Experience working directly with customers, including managing expectations and resolving conflicts • • WE WILL NOT BE ENGAGING 3RD PARTY AGENCIES ON THIS ROLE • • Rate: $75/hr - $95/hr (dependent on experience) Utilization: 40 hours / week Term: 6 months, with strong potential for extensions Location: Remote (time zone flexibility heavily preferred)