Senior Data Engineer

Collectors

. Build and own key components of the data platform across ingestion, Google BigQuery, and dbt transformation layers .

Posted 10/8/2026full-timeLos Angeles • California • United StatesSenior💰 $135,549 - $220,067 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining data platforms, including data ingestion pipelines and cloud data warehousing solutions. Proficient in Python and SQL, with a strong focus on implementing testing and monitoring practices to ensure data reliability and quality.

Highest-signal resume keywords

Data Platform DevelopmentCloud Data WarehousingPython ProgrammingSQL ProficiencyTesting and Monitoring Implementation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Ingestion PipelinesCloud Data WarehousingSQLPythonDbtTesting WorkflowsMonitoring PracticesAccess ControlsData Quality SafeguardsVersion Control

Soft Skills

MentoringCollaborationCommunication

Tools & Technologies

Google BigQueryClaude CodeCI/CDGCPAWS

Industry Keywords

Lakehouse PatternsQuery EnginesOperational DatabasesSaaS ApplicationsERP Systems

Tech Stack

Tools & technologies

AWSBigQueryCloudERPGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact

Build and own key components of the data platform across ingestion, Google BigQuery, and dbt transformation layers
Contribute to architecture and technical direction through design documentation and design reviews
Design and maintain batch and CDC data ingestion pipelines from operational databases, SaaS applications, and ERP systems
Use Claude Code and similar AI coding agents daily while refining engineering practices and guardrails
Implement testing, monitoring, alerting, and on-call practices to improve reliability and observability
Apply access models, auditability, and operational controls across pipelines and datasets
Build foundations for agentic analytics with well-modeled and governed data
Partner with analytics engineers, analysts, and stakeholders to translate business requirements into platform capabilities
Build Python APIs, automated jobs, and internal tools beyond the data warehouse
Mentor and support engineers through code review, pairing, and knowledge sharing
Contribute to proofs of concept involving lakehouse patterns, open table formats, and alternative query engines
Report to the Staff Manager, Data Engineering & Analytics

Requirements

What you’ll need

5+ years building data platforms and pipelines in production
Track record of independently owning and delivering complex projects
Strong hands-on experience with cloud data warehousing (BigQuery or equivalent), dbt, and modern ingestion tooling
Experience developing with Claude Code or a similar coding agent
Experience implementing testing, monitoring, alerting, and on-call practices
Understanding of access controls, auditability, and data-quality safeguards
Strong SQL and Python skills
Comfortable with version control, CI/CD, and testing workflows
Experience managing serverless compute, storage, and secrets on GCP, AWS, or another major cloud platform
Ability to explain technical work to engineers and non-technical stakeholders
Knowledge of lakehouse patterns and query engines
Ability to work legally in the United States

Benefits

Comp & perks

Medical, Dental, and Vision insurance
Fertility assistance
Commuter assistance
Educational assistance benefits
Competitive 401k matching plan
Flexible time-off
Ten company paid holidays
Employee discounts on select grading services
Flexible schedules
Celebrations, holiday events, and team building activities