Solution Engineer - DataOps at NimbleWay

Tel-Aviv, Tel-Aviv District, Israel -

Full Time

Start Date

Immediate

Expiry Date

26 Sep, 26

Salary

0.0

Posted On

28 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, Web Scraping, LLMs, REST APIs, Data Engineering, Solution Engineering, Cloud Platforms, Data Warehousing, Postman, cURL, HTTP/S

Industry

Software Development

Description

As a Solution Engineer on Nimble's DataOps team, you'll be the technical bridge between our customers and our platform. You'll work directly with developers, data scientists, and Sales to support enterprise clients - onboarding them onto Nimble's Platform (our AI-based platform for building data pipelines), troubleshooting complex issues, and owning the end-to-end technical delivery of their data solutions. This is a hands-on, customer-facing role at the core of what Nimble does. You'll manage multiple customer engagements in parallel, get deep into the technical details, and make real decisions that directly affect customer outcomes. Responsibilities Serve as the primary technical contact for enterprise customers throughout onboarding, integration, and ongoing delivery Design and implement data pipelines tailored to customer use cases using Nimble's AI-based platform Troubleshoot and resolve complex technical issues spanning APIs, web structures, proxies, and data quality Write and maintain Python scripts and SQL queries to support customer integrations and data transformations Leverage AI tools and LLMs to accelerate delivery, automate workflows, and solve novel customer problems Collaborate cross-functionally with Product and R&D to surface customer needs and feed them back into the roadmap Handle multiple projects simultaneously, keeping stakeholders aligned and delivery on track Requirements 3+ years as a Solution Engineer, Technical Delivery Engineer, Integration Engineer or similar roles in a B2B SaaS environment Background in software development, data engineering, or data analysis Hands-on experience with web scraping tools and libraries (BeautifulSoup, Selenium/Selectors, or similar) Proficiency with Python and SQL Familiarity with AI/ML concepts and practical experience working with LLMs, AI APIs (OpenAI, Anthropic, etc.), or AI-powered data tools Solid understanding of web fundamentals: HTTP/S, REST APIs, DNS, proxies, and VPNs Comfortable with developer tooling: Postman, cURL, browser DevTools, CLI Experience with at least one major cloud provider (AWS, GCP, or Azure) Experience with data warehouse and data lakehouse concepts and platforms (e.g. Snowflake, Databricks, BigQuery, or similar) Proven ability to manage multiple enterprise customer engagements in parallel Strong written and verbal English — you'll be communicating with technical and non-technical stakeholders daily Self-directed and organized; able to operate in a fast-moving environment with shifting priorities Nice to Have Experience building or integrating AI agents, RAG pipelines, or LLM-based workflows Experience with data quality management and large-scale datasets Familiarity with enterprise data infrastructure or ETL pipelines 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

Responsibilities

Act as the primary technical contact for enterprise customers to design and implement data pipelines using Nimble's AI-based platform. Troubleshoot complex technical issues and collaborate with Product and R&D teams to improve the platform roadmap.