Data Engineer

About NuView Analytics

At NuView Analytics, we help companies accelerate the time to insights from their data. We do this in three ways: data analytics, data diligence, and fractional data science. Our clients are growth-stage companies looking to drive additional value from the data they are sitting on. Through our values of humility, intellectual rigor, and stewardship, we help companies gain a new perspective on their business through their data.

The Role

We're looking for a Data Engineer to join our growing team and help clients build scalable, reliable data infrastructure. This role is remote but candidate must reside in the United States. Initial onboarding will be onsite. You'll work across the modern data stack, designing pipelines, architecting warehouses, and enabling the analytical layer that our clients depend on. This is a high-impact, client-facing role that combines deep technical execution with strategic thinking.

Responsibilities

• Design, build, and maintain scalable data pipelines for clients across industries

• Architect and optimize cloud data warehouse solutions, adapting to each client's stack, which may include Snowflake, BigQuery, Redshift, Microsoft Fabric, or similar platforms

• Lead data integration projects from source system to analytical layer, including scoping, delivery, and handoff

• Work fluidly across a range of modern data tools and platforms as client engagements demand, picking up new technologies quickly and applying best practices regardless of the toolset

• Collaborate with analysts and data scientists to ensure data is clean, reliable, and well-modeled

• Champion data quality, testing, and observability best practices across client engagements

• Produce and maintain clear technical documentation including pipeline architecture, data dictionaries, lineage maps, and runbooks so clients can understand and own their infrastructure long-term

• Document engineering decisions, standards, and workflows in a way that supports knowledge transfer to both clients and junior team members

• Research and evaluate new technologies and advocate for tooling investments that benefit the firm

• Train and mentor junior team members on engineering standards, pipeline design, and best practices

• Participate in client-facing communication, including requirements gathering and progress updates

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Flex support when capacity allows: contribute to analyst-side deliverables such as Power BI dashboard development, ad-hoc reporting, or data visualization. We're a lean team and value versatility

Projects Include