> Markdown version of [/jobs/ext/4706547-data-engineer](https://www.wearedevelopers.com/jobs/ext/4706547-data-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).

---

# Data Engineer

- **Company:** Actively Ai
- **Location:** New York, NY, United States
- **Salary:** $120,000 - $160,000
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Data Cleansing, Information Engineering, Data Warehousing, Python (Programming Language), SQL Databases, Systems Architecture, Snowflake, Agentic-AI, Build Tools
- **Published:** November 13, 2026
- **Apply:** https://www.careerbuilder.com/job-details/data-engineer-new-york-ny--eadc1303-5b08-467c-ab8a-97344c9e3abd

## About the Role

Artificial Intelligence (AI), Category Development, Analysis Skills, Customer Relations, Data Analysis, System Architecture, Artificial Intelligence (AI) Agents, Metrics, Reporting Dashboards, Data Cleaning, * A builder - you like owning problems end-to-end and working from first principles

 * Comfortable with both SQL and Python, and fluent in the modern data stack
 * Analytical by instinct - you've spent enough time with data to develop intuition and taste
 * Bonus: background in math, physics, or quant research
 * Bonus: experience working with GTM teams or building analytics for sales/product workflows

## Description

We're looking for someone to own data and analytics end-to-end at Actively. This isn't a narrow analyst role - you'll architect the internal systems that help us learn from every customer interaction, GTM workflow, and product signal, and make those insights actionable across the business.

You'll work at the intersection of data engineering, analysis, and product thinking - building the tools that help us move fast, learn precisely, and wire insight directly into the AI agents and experiences we ship.

What You'll Do:

 * Own internal metrics, dashboards, and reporting across product, GTM, and usage
 * Build systems to track, analyze, and interpret key signals across the customer and product journey
 * Help design and implement internal "sensors" to uncover buried insights
 * Translate messy, real-world data into clean, structured inputs for our reasoning agents
 * Define and evolve our analytics stack - dbt, Snowflake, Mode, etc. - with an eye toward speed and clarity
 * Work cross-functionally with founders, engineering, and forward-deployed teams to prioritize and act on what matters