Senior Risk & Compliance Engineer – Data

🕒 July 29

🏄 California, Colorado, +17 more states – Remote

🏄 California – Remote ⛰️ Colorado – Remote 🦌 Connecticut – Remote 🏛️ District of Columbia – Remote 🌺 Hawaii – Remote 🌽 Illinois – Remote 🦞 Maine – Remote 🗻 New Hampshire – Remote 🏖️ New Jersey – Remote 🗽 New York – Remote 🌲 Oregon – Remote 🦀 Maryland – Remote 🍂 Massachusetts – Remote 🔔 Pennsylvania – Remote ⚓ Rhode Island – Remote 🤠 Texas – Remote 🍁 Vermont – Remote ⚔️ Virginia – Remote ☕ Washington – Remote

💵 $156k - $230k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

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Instacart

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2012

🍽️ Food & Beverage

📦 Logistics

🛍️ eCommerce

💰 $232M Venture Round on 2021-11

Food & Beverage • Logistics • eCommerce

Instacart is a company that offers a flexible approach to work while transforming the grocery industry. It provides an essential service by delivering groceries and household goods to customers' doors in as little as 30 minutes. Instacart offers safe and flexible earning opportunities to personal shoppers and tackles challenges such as rerouting deliveries during snowstorms and connecting customers with coupons and deals. It aims to be the operating system for the grocery industry, thus helping customers save time for other activities. Instacart emphasizes diversity, equity, and belonging in its work culture.

📋 Description

• Build automated signal ingestion pipelines that pull real-time data from security tooling • Develop probabilistic risk models that express security exposure as probability distributions • Identify systemic choke points across the attack surface • Build dashboards and data-driven insights that cascade risk visibility across security, engineering, and executive stakeholders • Support risk quantification efforts that express security exposure in financial terms

🎯 Requirements

• 5+ years of experience in data engineering, with demonstrated ability to write production-level code in Python and SQL (PostgreSQL, Presto, or SparkSQL) • 3+ years of experience building and deploying machine learning or probabilistic models in a production environment • Experience building data pipelines that ingest real-time or near-real-time data across multiple formats, handling both stream and batch processing at scale • Experience with data modeling for classification, normalization, and risk or anomaly detection signal development • Experience developing metrics that inform security and business decisions • Familiarity with security risk concepts including threat intelligence enrichment pipelines, EPSS, or CISA KEV

🏖️ Benefits

• health insurance • retirement plans • flexible work arrangements • professional development • bonuses • stock options • equity grants