Senior Risk & Compliance Engineer - Data

EngineersOfAI; United States; Hybrid; USD 140,000 - 210,000; Full time

Job summary

Instacart is seeking a Senior Risk & Compliance Engineer to lead production-grade data engineering and probabilistic modeling within the GRC program. You will design automated signal ingestion pipelines and develop models that quantify security risk, guiding remediation decisions at scale.

You will build dashboards and present risk metrics to security, engineering, and executive teams, translating complex model outputs into actionable insights for strategic investments.

Qualifications

• 5+ years of experience in data engineering and production-grade Python/SQL.
• 3+ years building machine learning or probabilistic models in production.
• Experience building real-time data pipelines and batch processing at scale.

Responsibilities

• Build automated signal ingestion pipelines that pull data from security tooling and transform findings into actionable risk intelligence.
• Develop probabilistic risk models to express security exposure as distributions and connect outputs to investment decisions and board reporting.
• Identify choke points across the attack surface and prioritize high-impact remediation paths.
• Build dashboards and data-driven insights to cascade risk visibility to security, engineering, and executive stakeholders.
• Support risk quantification efforts that translate security exposure into financial terms for leadership.

Skills

Python

SQL

Data engineering

Tools

PostgreSQL

Presto

SparkSQL

Job description

We're transforming the grocery industry

At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.

Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.

Instacart is a Flex First team

There’s no one-size fits all approach to how we do our best work—our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work.

Overview

Instacart's Governance, Risk and Compliance (GRC) team sits at the intersection of security, data, and business impact — and we're building an automated, engineering‑grade risk program that produces real‑time risk scoring, quantified exposure models, and ROI‑linked investment decisions that reach the CISO, executive leadership, and the board.

We're looking for a Senior Risk & Compliance Engineer to help us get there. This is an engineering role with a data science expertise needed. You'll write production‑level code, build signal ingestion pipelines, and develop probabilistic risk models that give our security organization a quantified, confidence‑backed view of our risk posture — all in service of protecting Instacart's customers and products at scale.

If you're energized by the challenge of transforming a manual, reactive discipline into a data‑driven, automated program — providing value across security, engineering, and executive stakeholders while doing it — this role was built for you.

About the Job

• Build automated signal ingestion pipelines that pull real‑time data from security tooling — normalizing, enriching, and scoring raw findings into actionable, ranked risk intelligence that drives remediation decisions across the organization
• Develop probabilistic risk models that express security exposure as probability distributions, giving leadership a quantified, confidence‑backed view of breach likelihood and expected losses — connecting model outputs directly to investment decisions and board‑level reporting
• Identify systemic choke points across the attack surface — high‑leverage remediation paths where a single fix eliminates risk at scale — and prioritize them by expected impact to maximize the efficiency of our security program
• Build dashboards and data‑driven insights that cascade risk visibility across security, engineering, and executive stakeholders, translating complex model outputs into language that resonates at every level of the organization
• Support risk quantification efforts that express security exposure in financial terms, connecting model outputs to investment decisions and board‑level reporting

About You

Minimum Qualifications

• 5+ years of experience in data engineering, with demonstrated ability to write production‑level code in Python and SQL (PostgreSQL, Presto, or SparkSQL) — you write production level code for internal tools and infrastructure
• 3+ years of experience building and deploying machine learning or probabilistic models (e.g., Bayesian 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