Senior Risk & Compliance Engineer - Data

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 . 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 rea d more about our benefits offerings here . For US based candidates, the base pay ranges for a successful candidate are listed below.

CA, NY, CT, NJ $188,000 - $230,000 USD WA $178,000 - $220,500 USD OR, DE, ME, MA, MD, NH, RI, VT, DC, PA, VA, CO, TX, IL, HI $171,000 - $211,000 USD All other states $156,000 - $192,000 USD