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Staff Data Engineer
CollectorsStaff Data Engineer leading architecture and reliability of data platform for Collectors. Seeking experienced engineer to enhance and support data-driven initiatives in a remote or hybrid environment.
Posted 7/24/2026full-timeLos Angeles • California • 🇺🇸 United StatesLead💰 $165,000 - $250,000 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building scalable data platforms and pipelines, with a strong focus on reliability, governance, and AI-assisted development. Proficient in cloud data warehousing, data ingestion tooling, and architectural design for modern data stacks.
Highest-signal resume keywords
Data Platform ArchitectureCloud Data Warehousing (BigQuery)AI-Assisted Development (Claude Code)Data Ingestion Tooling (Hevo, Estuary)SQL and Python Proficiency
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
Data Pipeline DevelopmentCloud Infrastructure ManagementCI/CD WorkflowsTesting and Monitoring PracticesAccess Control DesignData Quality SafeguardsBatch and CDC Pipeline DesignVersion ControlLakehouse PatternsAutomated Job Engineering
Soft Skills
Technical LeadershipMentorshipClear CommunicationSystems ThinkingCollaboration
Tools & Technologies
Google BigQueryDbtHevoEstuaryClaude CodeGCPAWS
Industry Keywords
Data GovernanceObservabilityOperational RigorData QualityAnalytics Engineering
Tech Stack
Tools & technologiesAWSBigQueryCloudERPGoogle Cloud PlatformPythonSQL
About the role
Key responsibilities & impact- Own the architecture of our data platform, spanning ingestion (Hevo, Estuary), our Google BigQuery warehouse, and the dbt transformation layer — designing systems that are scalable, reliable, secure, and built to last.
- Set the technical bar as a senior IC, leading through design reviews, code review, and mentorship — raising the quality, rigor, and engineering discipline of the team without a formal management role.
- Build and harden data ingestion at scale, designing batch and CDC pipelines across a diverse set of sources — operational databases, SaaS applications, and ERP systems — and driving vendor and tooling decisions with a clear point of view.
- Develop end-to-end with AI coding agents. Our teams build with Claude Code and similar tools, and you'll help define the practices, guardrails, and standards that make AI-assisted engineering fast, safe, and high-quality.
- Invest in reliability and observability, establishing testing, monitoring, alerting, and incident-response practices so data lands on time, is trusted, and failures are caught before stakeholders notice.
- Strengthen governance and controls, implementing the access models, auditability, and operational rigor expected of a company operating at scale and under growing scrutiny.
- Lay the foundations for agentic analytics, building the well-modeled, well-governed platform that agents and MCP connections rely on to deliver trustworthy answers from data.
- Partner with analytics engineers, analysts, and stakeholders to understand data needs, unblock high-value use cases, and translate business requirements into durable platform capabilities.
- Engineer tooling and services beyond the warehouse - building the APIs, automated jobs, and internal tools in Python that make the platform run smoothly and put data in more people's hands than SQL alone can reach.
- Drive the evolution of our warehouse architecture - leading hands-on POCs on lakehouse patterns, open table formats, and alternative query engines, and deciding what's worth adopting next.
Requirements
What you’ll need- A seasoned data engineer with 8+ years building data platforms and pipelines in production, with a track record of technical leadership at the staff or senior level.
- An expert in the modern data stack. You have deep, hands-on experience with cloud data warehousing (BigQuery or equivalent), dbt, and modern ingestion tooling — and strong opinions, loosely held, about when to buy versus build.
- A systems thinker. You design for scale, failure, and change — and you can articulate the trade-offs between architectural options clearly, in writing and in person.
- Fluent in AI-assisted development. You have real experience developing with Claude Code or a similar coding agent, and you treat it as a core part of how modern engineering gets done rather than a novelty.
- Reliability-obsessed. You believe pipelines should be tested, observable, and boring — and you've built the tooling and practices to make that true on teams you've worked with.
- Governance-minded without being risk-averse. You know how to design access controls, auditability, and data-quality safeguards that earn trust in the numbers without slowing the team down.
- A force multiplier. You raise the bar for those around you through mentorship, review, and example, and you're energized by making other engineers better.
- Technically fluent and a clear communicator. You're expert in SQL and Python, deeply comfortable with version control, CI/CD, and testing workflows, and able to explain technical decisions to audiences from individual contributors to executive leadership.
- Cloud-infrastructure fluent. You work comfortably beyond the data warehouse, managing serverless compute, storage, and secrets on a major cloud platform like GCP or AWS.
- A forward-thinking architect. You stay ahead of where the data stack is heading, with well-reasoned views on lakehouse patterns and query engines that you test through hands-on work.
Benefits
Comp & perks- Health Insurance: All full-time employees are eligible to enroll in Medical, Dental, and Vision
- Additional Benefits: Full-time employees are eligible for fertility, commuter, and educational assistance benefits.
- 401(K) Matching Plan: We are proud to offer a competitive 401k matching plan to our employees to support their future financial goals
- Vacation: All salaried employees are eligible for flexible time-off.
- Holiday Pay: All regular, full-time employees are eligible for ten company paid holidays
- Employee Discounts: Employees receive discounts on select grading services for approved submissions
- Flexible Hours: Many of our teams offer flexible schedules with varying shifts and will work with you to accommodate your needs
- Fun Working Environment: Our team members are invited to participate in celebrations, holiday events, and team building activities