Data Solutions Engineer

3–5+ years of experience in a technical role with a customer-facing component - solutions engineering, data engineering, technical account management, or similar

Proficiency in Python for scripting, data manipulation, and workflow automation

Hands-on experience with REST APIs: designing, consuming, and debugging integrations

Genuine curiosity about AI.

Experience with prompt engineering, LLM-based workflows, or AI-forward tooling is a strong plus

Familiarity with modern data infrastructure such as Snowflake, dbt, or similar data warehouse and pipeline tools

Partner directly with customers to identify data challenges and design technical solutions - connecting data sources, configuring integrations, automating recurring workflows, and deploying custom reports

Deploy and optimize AI-powered tools and workflows for customers; educate customers and internal teams on prompt engineering, LLM capabilities, and best practices for leveraging AI in their data operations

Build and extend internal tooling (importers, parsers, and reporting pipelines) to reduce manual burden on the Customer Experience team and improve platform reliability

Execute bespoke data operations such as custom SQL reports, bulk data operations, and backend queries for customers with unique data needs

Own API schemas, ingestion cadence, error handling, Snowflake data shares, and database connections

Identify repeatable patterns across customers and translate them into product requirements, filing tickets and partnering with Engineering to productize solutions