Senior Data Engineer

We're looking for an exceptional Senior Data Engineer to join our data team and help transform the data industry.

As a key member of the team, you will design and build scalable data infrastructure, collaborate closely with cross-functional teams, and enable data-driven decision-making across the organization. This is a high-impact role at the core of our analytics, BI, and data workflows.

Requirements:

6+ years of experience in data engineering, with strong hands-on expertise in data infrastructure and analytics/BI environments.
Strong SQL skills and solid understanding of data architecture and scalable data systems.
Experience with cloud-based data warehouses such as Snowflake, BigQuery, Databricks, or similar platforms.
Proven experience designing and implementing scalable data pipelines and orchestration workflows (e.g., Airflow or similar), including CI/CD processes for deployment.
Experience with dbt for building complex data models and transformations, and with BI tools such as Tableau, Sigma, or Power BI to create dashboards and deliver actionable insights.
Experience working with high-scale databases such as Couchbase, ClickHouse, or similar.
Familiarity with modern data development workflows (local, staging, production environments).
Strong problem-solving skills, attention to detail, and the ability to work independently while taking ownership of the company’s data ecosystem.
Comfortable operating within an infrastructure-focused team and contributing to company-wide BI infrastructure.

Responsibilities:

Design, build, and maintain scalable and reliable data pipelines and workflows that power analytics and internal decision-making.
Collaborate with teams across Product, Engineering, Sales, Customer Success, and Business to support research, analysis, and the development of core infrastructure and BI solutions.
Take ownership of the company's internal data infrastructure, ensuring data accuracy, integrity, and accessibility for all stakeholders.
Work with large and complex datasets to enable meaningful insights and support business and product decisions.
Develop and maintain data models and BI layers to enable reporting and data exploration across the organization.
Continuously improve the data platform to ensure optimal performance, scalability, and reliability, with an eye toward future growth.

About us:

Nimble is the real-time web search platform built for enterprise accuracy, completeness, and trust. We run Web Search Agents that actively navigate live websites using real browsers and reasoning, turning the public web into governed, decision-grade data for AI systems and high-stakes business use.

Unlike index-based “AI search” tools or brittle legacy scraping, Nimble makes the live web queryable on demand, delivering structured outputs that teams can verify and rely on. Our platform powers use cases where correctness matters: financial due diligence, real-time pricing and promotions, market intelligence, and AI systems that depend on fresh, complete data.

Trusted by leading enterprises like Home Depot, Uber, and Coca-Cola and backed by top-tier investors, Nimble sits at the intersection of AI, automation, and real-time web intelligence.

As demand accelerates across AI, LLMs, and data-driven decisioning, we’re scaling quickly and looking for high-energy, driven teammates who thrive in fast-moving environments and want to help define a new category.

Why join Nimble?

Work on a deeply technical platform powering real-time AI and enterprise decisions
Help define the future of Web Search Agents and live web intelligence
Build alongside a sharp, mission-driven team that moves fast, ships often, and takes ownership