# Senior Software Engineer II, Ads Data Solutions Engineering

**Company**: Instacart
**Location**: United States - Remote
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Salary**: $192,000-$242,500
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/instacart/jobs/8246054?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_b2395cdc-d98

## Description

At Instacart, we're transforming the grocery industry by delivering an essential service that customers rely on to get their groceries and household goods. 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.

## Overview

The Ads DSE team builds the core capabilities that power Instacart's off-platform advertising, secure data collaboration (cleanrooms), automated taxonomy management, and their associated platform foundations. We're hiring a Senior Engineer II (L6) to co-own the technical roadmap, modernize our data solutions infrastructure, scale off-platform integrations and measurement capabilities, extend our cleanroom collaboration capabilities, and automate taxonomy change management workflows.

## Responsibilities

- Technical leadership and roadmap: Lead architecture for reusable, scalable systems across off-platform workflows, cleanrooms, taxonomy automation, and the Ads Data Solutions Platform.

- Pillar execution:

- Off-platform: Expand and harden integrations with external advertising platforms; design privacy-forward activation and identity workflows; reduce reliance on third-party intermediaries; and build measurement ingestion pipelines for performance signals such as reach, frequency, and conversions.

- Data collaboration (cleanrooms): Extend our cleanroom orchestration and governance tooling (multi-cleanroom support, policy enforcement), develop reusable query templates and partner configurations, optimize pipelines for cost and performance, and scale secure data collaboration deployment and management.

- Ads Taxonomy: Lead intake automation (UI + backend) and release workflow improvements to reduce manual effort and cycle time.

- Platform: Assist with platform modernization and developer tooling improvements; contribute to an on-call/SLO strategy as we mature operations.

- AI-first engineering: Use AI-assisted tools daily for design, coding, tests, and docs; define team prompt patterns and workflows; identify AI opportunities in internal tools and ops.

- Product quality, privacy, and security: Translate ambiguous requirements into pragmatic phases (POC, pilot, production) with clear SLAs/SLOs; champion security-by-design, data governance, and privacy compliance (e.g., GDPR/CCPA) across pipelines.

- Mentorship and collaboration: Mentor engineers up to L5; set code quality and review standards; build cross-team partnerships (Ads Manager, Measurement Science, Data Platform, Privacy/Legal, and external platforms).

## Requirements

- Proven senior-level impact

- 8+ years of software engineering experience delivering and operating large-scale backend/data systems

- Strong in Python and one of Ruby or Go; services/APIs (REST/gRPC); integrations with third-party APIs (e.g., Meta, Google, The Trade Desk)

- Data pipelines with DBT and Airflow; Spark/Databricks; advanced SQL and performance tuning

- Snowflake and AWS experience; cost-aware design; workflow orchestration (e.g., Temporal) and event-driven patterns

- Ads/cleanrooms/privacy: Experience with ad-tech/programmatic and measurement integrations; cleanrooms (Snowflake DCR, shares/listings); identity/matching (UID2, RampID) and deconfliction

- Working knowledge of privacy and compliance practices (GDPR/CCPA) in data workflows

- Platform excellence: CI/CD, containers, test strategy; observability (metrics/logs/tracing) with tools like Datadog; incident readiness and SLO thinking

- AI fluency: Demonstrated, recent hands-on use of AI-assisted development tools (e.g., GitHub Copilot, Cursor, OpenAI-based assistants) to improve speed and quality

- Experience defining reusable prompts/workflows for team use and contributing to AI-enabled internal tools or automation

- Ability to evaluate when to apply AI vs. deterministic systems; familiarity with evaluation, guardrails, and security/privacy implications in AI usage

- Collaboration and communication: Clear technical writing; stakeholder management; ability to drive consensus and unblock execution

## Skills

### Required
- Python
- Ruby
- Go
- REST
- gRPC
- Meta
- Google
- The Trade Desk
- DBT
- Airflow
- Spark
- Databricks
- SQL
- Snowflake
- AWS
- Temporal
- UID2
- RampID
- GDPR
- CCPA
- Datadog

### Nice to have
- UID2/TTD integrations
- Roku/Pubmatic/NBCU
- Meta Advanced Analytics/Google ADH pipelines
- Catalog/taxonomy
- entity lineage
- custom hierarchy systems
- Snowflake governance patterns
- partner data collaboration at scale
- vendor/partner management
- external API certification programs
- Building AI-powered internal tools

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/instacart/jobs/8246054?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)