Instacart

Senior Risk & Compliance Engineer - Data

Instacart$153K — $187K *
US-AnywhereRemote in Canada
Finance & Insurance
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience in data engineering, proficient in writing production-level Python and SQL code.
  • 3+ years of experience deploying machine learning or probabilistic models in production.
  • Skilled in building data pipelines for real-time data ingestion across various formats.
  • Experienced in data modeling for classification and risk detection.
  • Proficient in developing metrics guiding security and business decisions.

Responsibilities

  • Build automated pipelines to ingest and score real-time security data into actionable risk intelligence.
  • Develop probabilistic risk models to quantify breach likelihood and expected losses for leadership insights.
  • Identify and prioritize remediation paths across the attack surface for maximum risk mitigation efficiency.
  • Create dashboards that provide risk visibility and translate complex outputs for various audiences.
  • Support financial risk quantification efforts linked to investment decisions and executive reporting.

Benefits

  • Remote work flexibility under the Flex First remote policy.
  • Eligibility for new hire equity grants and annual refresh grants.
  • Access to a competitive package of market-related compensation and benefits based on location.
Full Job Description
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
  • Experience developing metrics that inform security and business decisions

Preferred Qualifications
  • Familiarity with security risk concepts including threat intelligence enrichment pipelines, EPSS, or CISA KEV
  • Familiarity with quantitative risk frameworks such as FAIR
  • Exposure to security frameworks such as NIST CSF, SOC 2 as context for what controls the data is measuring
  • Demonstrated ability to translate risk model outputs into executive or board-level narratives
  • A genuine passion for building systems that protect customers and products, and a track record of operating effectively in fast-paced, ambiguous environments where the program is still being shaped

#LI-Remote

Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here. Currently, we are only hiring in the following provinces: Ontario, Alberta, British Columbia, and Nova Scotia.

Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here.

For Canadian based candidates, the base pay ranges for a successful candidate are listed below.

CAN

$153,000-$187,000 CAD

About Instacart

Instacart is an American company that operates a grocery delivery and pick-up service in the United States and Canada. The company offers its services via a website and mobile app. The service allows customers to order groceries from participating retailers with the shopping being done by a personal shopper. Instacart was founded in 2012 by entrepreneur Apoorva Mehta, a former Amazon.com employee. Apoorva was born in India and moved with his family to Canada in 2000. He studied engineering at the University of Waterloo and graduated in 2008. He was a participant in Y Combinator's Summer 2012 batch, which eventually led to the creation of Instacart. In 2013, Mehta was included on the Forbes 30 Under 30 list. Apoorva previously worked at BlackBerry, Qualcomm, and then Amazon as a supply chain engineer, where he developed fulfillment systems to move packages from Amazon's warehouses to customers' homes. Before founding Instacart, Apoorva had tried to start at least 20 other services. He tried building an ad network for social gaming companies, and developing a social network specifically for lawyers, among other start-ups. Instacart originally launched in San Francisco. By April 2015, the firm had about 200 employees. It introduced a new policy around June allowing some shoppers to choose to be part-time employees, starting with Chicago and Boston and extending its offer to shoppers in Atlanta, Miami, and Washington D.C. the following month.
Learn more about Instacart
Industry
Founded
2012

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