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Full Time Kill Switch Engineer Jobs (NOW HIRING)

Pilot.com

Senior Analytics Engineer

San Francisco, CA · On-site

$123K - $169K/yr

They are seeking a Senior Analytics Engineer to own their data foundation, architecting the ... kill switches) • Experience designing data platforms that non-data teams build self-serve ...

Booz Allen Hamilton

AI Integration Engineer

Mclean, VA

$105K - $141K/yr

... and automated kill switches for autonomous processes * Experience with Vector Database ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

CDW

IIQ Developer - Pre-award

OK · Remote

Emergency "kill-switch" terminations * Multi-tier federal approval chains * Lead application ... SailPoint Certified Engineer (IdentityIQ), a plus * Experience working within federal or highly ...

Harley Ellis Devereaux

AI Platform Developer

Boston, MA · On-site

$120K - $170K/yr

AI Platform Developer HED is hiring an AI Platform Developer to build durable, production-grade AI ... kill-switches to prevent runaway behavior. • Apply governance and access boundaries early ...

Pilot.com

Senior Analytics Engineer

San Francisco, CA · On-site

$123K - $169K/yr

... logs, kill switches) * Experience designing data platforms that non-data teams build self-serve ... Pilot provides small businesses with dedicated finance experts - which Pilot hires as full-time, U.

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How much do full time kill switch engineer jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for full time kill switch engineer in the United States is $61.54, according to ZipRecruiter salary data. Most workers in this role earn between $59.62 and $63.46 per hour, depending on experience, location, and employer.
What are the most commonly searched types of Kill Switch Engineer jobs? The most popular types of Kill Switch Engineer jobs are:
Full Time Kill Switch Engineer jobs near you
Senior Analytics Engineer

Senior Analytics Engineer

Pilot.com

San Francisco, CA • On-site

$123K - $169K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Summary:
Pilot.com is a company that aims to modernize back office operations for small businesses through dedicated finance experts and custom software. They are seeking a Senior Analytics Engineer to own their data foundation, architecting the warehouse and semantic layer, and ensuring reliable data processes for AI integration.
Responsibilities:
• Architect Pilot's data foundation: the warehouse layout, the semantic layer, and the access patterns that let humans and AI agents use Pilot's data safely and well
• Methodically plan what each domain's data needs to look like, then ship it as durable, well-documented, well-tested models in dbt
• Lead the ingestion of new data sources as the business expands: scope what's needed, choose the right pattern (Fivetran, custom Airflow DAG, or partner share), and ship it production-grade with tests and docs
• Keep the foundation reliable and clean: operate it as a production system and continuously retire what's stale
• Build AI tools and workflows that uplevel the data team's own work (Claude Code skills, MCP-driven agents)
• Enable other teams to safely AI-enable their own workflows on Pilot data. For example, scope governed access surfaces, build the patterns that route them to the semantic layer first, and partner on intake review for new Claude Project integrations
• Set the technical standards: testing, documentation, naming, materialization, deprecation, code review
• Own Pilot's canonical metrics across the company (including Finance, Sales, Operations, and Marketing)
Qualifications:
Required:
• 5+ years experience as an Analytics Engineer or Data Engineer with end-to-end ownership of a production warehouse and modeling layer
• A track record of architecting data platforms that other teams build on
• Strong SQL and production dbt experience at meaningful scale, including layered architecture, tests, documentation, and CI
• Snowflake or comparable cloud data warehouse experience
• Experience with a semantic layer (LookML, dbt Semantic Layer, Cube, MetricFlow, or comparable)
• Experience streamlining data processes with AI dev tools, and building AI workflows or agents that teammates use day-to-day
• Working Python proficiency for ingestion code (extending or writing Airflow DAGs, building custom connectors), plus hands-on experience with managed ingestion (Fivetran or comparable) and reverse-ETL (Census or comparable)
Preferred:
• Experience setting up safe, audited AI access to a data warehouse (allow-listed schemas, audit logs, kill switches)
• Experience designing data platforms that non-data teams build self-serve workflows on top of
• Airflow production experience
• dbt Cloud experience
• Looker administration experience (permissions, content curation, Spectacles, LAMS)
• Data observability experience (Elementary, Monte Carlo, or comparable)
• Fintech, accounting software, or B2B SaaS data background
Company:
Pilot provides the most reliable accounting, CFO, and tax services for startups and small businesses. Founded in 2016, the company is headquartered in San Francisco, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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