Forward Deployed Analytics Engineer

Improvado

United States

Remote

USD 120,000 - 160,000

Full time

14 days+
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Benefits offered by this job

Remote-first environment
Medical and dental benefits
401(k) plan
Paid time off and US holidays
Professional development reimbursement

Job summary

Improvado, a US-based AI-powered marketing data platform, is seeking a data delivery engineer to own 3–6 client accounts end-to-end. You’ll design data models, pipelines, and dashboards, coordinating discovery calls and production delivery.

You should have 3+ years shipping data work outside your own team, strong SQL and Python, and experience with dbt, ClickHouse, BigQuery or Snowflake; English C1 required. Remote-first, with benefits offered.

Qualifications

  • 3+ years shipping data work for people outside your own team (agency, consultancy, professional services or in-house analytics).
  • 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.

Responsibilities

  • Run weekly customer calls and turn what you hear into a scoped build with dates.
  • 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.

Skills

SQL
Python
Data modeling

Tools

dbt
ClickHouse
BigQuery
Snowflake
Claude Code
Codex
Cursor

Job description

Improvado is an AI-powered marketing data platform built for mid-market and enterprise teams. We help companies automate complex marketing data workflows, unify data at scale, and surface insights through BI and AI. Brands like ASUS, Docker, Activision, and H&R Block rely on us to simplify analytics and improve marketing performance. We're a fast-growing Series A startup backed by $34M in funding and driven by a team that moves fast, stays curious, and cares about high-quality execution.

About the role

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.

What you'll do
  • Run weekly customer calls and turn what you hear into a scoped build with dates.
  • 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.
You'll fit if
  • 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.
Helps
  • Ad-platform, GA4 or CRM data. dbt in production. MMM or attribution. Temporal or Airflow.
What we offer
  • Remote-first environment
  • Medical and dental benefits
  • 401(k) plan
  • Paid time off and US holidays
  • Professional development reimbursement
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