20 publicaciones de empleo destacadas de data quality engineer en remote (¡Están contratando!)

Improvado is an AI-powered, unified platform designed for marketing teams in medium to large-scale enterprises and agencies, who are looking to automate complex marketing intelligence and reporting to make decisions with ease. Improvado gathers, organizes, and untangles marketing data to deliver instant insights through BI and AI, helping to eliminate complexity, delivering laser-focused insights to optimize budgets, enhance campaign efficiency and marketing ROI.

About the role

This role sits within a Transformation Team - a small, high-impact group of data analysts and analytics engineers responsible for Improvado's transformation layer: SQL DataMarts, custom pipelines, and analytics products (Martech Recipes, Attribution/MMM, DataPrep) that turn raw marketing data into clean, client-ready datasets. As Senior AI Analyst, you'll own technical delivery on complex client accounts, build and automate analytics workflows, and drive product quality through a combination of deep SQL expertise and applied AI. This is a hands-on individual contributor role — you'll be writing transformation logic, building automation, and directly solving hard problems, not coordinating from a distance.

Responsibilities

Own end-to-end delivery on complex client implementations: SQL DataMarts, custom pipelines, Martech Recipes, Attribution, and DataPrep
Build and maintain automated analytics workflows using AI tools, scripting, and modern data stack
Troubleshoot and resolve production data pipeline issues, including direct client-facing escalations
Identify opportunities to replace manual processes with scalable, AI-driven solutions
Collaborate with Product, BI, and CSM/TCS teams on architecture decisions and client data requirements
Contribute to SOPs and documentation for transformation processes

Qualifications

Demonstrated experience applying AI tools to automate analytics or data workflows: Claude Code, prompt engineering, agentic coding to accelerate development, write tests, optimize complex problems, and ship faster
Build and scale an AI agent and be able make it reliable
Product ownership mindset — able to take a problem end-to-end with minimal hand-holding
Strong SQL skills required; dbt or similar transformation-tooling experience strongly preferred
Hands-on ETL/ELT pipeline experience (BigQuery, Snowflake, Redshift, or ClickHouse)
Experience troubleshooting production data pipelines and resolving data quality issues
Marketing or revenue data domain experience
Availability to work full US Eastern Time (ET) hours

Nice to have

Python for data processing and automation
Experience working directly with clients on technical requirements
BI tools (e.g., Superset) for operational reporting

What We Offer

Remote-first environment
Strong product/market fit: marketing data product for US-based enterprises
20 working days of PTO per year
US holidays and additional days off
Professional development reimbursement

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