Data Engineer

We are is seeking a Data Engineer Consultant to support a rapidly growing analytics and data engineering practice. This is an exciting opportunity to work in a fast-paced environment where you’ll design modern data solutions, solve real-world business problems, and collaborate with a team of top-tier consultants. This role is ideal for someone who thrives in dynamic client environments, understands how to optimize or reimagine enterprise data architecture, and is passionate about driving meaningful business transformation.

If you are a natural problem solver, critical thinker, and eager to take on new challenges, this role will offer constant variety and growth.

• Design, build, and maintain scalable and efficient data pipeline architectures
• Assemble and manage large, complex datasets to meet functional and non-functional business requirements
• Identify and implement process improvements such as automation, data delivery optimization, and infrastructure scalability enhancements
• Develop and support ETL/ELT frameworks for data extraction, transformation, and loading from diverse source systems
• Build analytical tools and data models that support insights related to customer behavior, operational efficiencies, and key business metrics
• Partner with Executive, Product, Data, and Design teams to resolve data-related technical issues and support infrastructure needs
• Define project scope, milestones, phases, and deliverables for client data initiatives
• Execute project plans, monitor progress, remove obstacles, and recommend next steps
• Delegate and coordinate tasks across project teams as needed
• Develop and deliver training, documentation, and adoption materials for stakeholders

• Advanced SQL expertise with hands-on experience working with relational databases and various data systems
• Experience designing and optimizing data pipelines, architectures, and data sets
• Proficiency in performing root cause analysis across both data and processes to identify insights and solution opportunities
• Strong analytical abilities with experience handling structured and unstructured datasets
• Experience building processes for data transformation, metadata management, workload orchestration, and dependencies
• Proven history of manipulating, processing, and extracting value from large or disparate datasets
• Ability to collaborate effectively with cross-functional internal and external business partners
• Interest in developing data literacy and analytics capabilities across client teams
• Curiosity, creativity, and a mindset geared toward questioning assumptions and exploring new approaches
• Availability to travel as needed to support client engagements

• Experience with Databricks, dbt, or modern cloud data platforms