> Markdown version of [/jobs/ext/3391074-forward-deployed-analytics-engineer](https://www.wearedevelopers.com/jobs/ext/3391074-forward-deployed-analytics-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Forward Deployed Analytics Engineer - **Company:** Improvado Inc - **Location:** United States (Remote available) - **Experience:** Experienced - **Salary:** $70,000.0 - $120,000.0 - **Contract:** Permanent contract - **Skills:** Airflow, Data Analysis, BigQuery, Customer Data Management, Cursor, Google Analytics, Python (Programming Language), Power BI, SQL Databases, Tableau (Software), File Transfer Protocol (FTP), Snowflake, Vertica, Looker Analytics - **Published:** September 13, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=8bd2b1e088ff9c58 ## About the Role * You have 3+ years shipping data work for people outside your own team: an agency, a consultancy, professional services, or an in-house analytics team with internal customers. * SQL is your first language and Python a comfortable second. * You've used Claude Code, Codex or Cursor for real work and can say where they go wrong. * You can hold a call with a marketing director and a data engineer in the same hour and both leave with a decision. * English C1 or better. ## Description You join a customer's marketing data problem and stay until it runs in production. One month it's a pharma brand that needs validated files delivered to its agency every night. The next it's a DTC brand that wants attribution it can defend, or an agency running forty client dashboards on one model. You own three to six accounts end to end: the discovery calls, the data model, the pipeline, the dashboard, the handoff. Claude Code is your pair, not a checkbox., * Design and maintain the models: SQL and dbt on ClickHouse, BigQuery or Snowflake, kept correct as sources change. * Write Python pipelines on Temporal when the platform doesn't cover the case: SFTP feeds, validation rules, custom joins, audit emails. * Ship dashboards in Looker, Power BI or Tableau, whichever the customer already runs. * QA your own delivery before the customer sees it. Send platform gaps back to Product with a reproducible case., * Ad-platform, GA4 or CRM data. dbt in production. MMM or attribution. Temporal or Airflow.