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Job Description

Collectors is hiring a hands-on Senior Data Engineer to design, build, and operate data platform pipelines and foundations for analytics, reporting, and AI agent workflows.

Responsibilities

  • Build and own core data platform components across ingestion tools (Hevo, Estuary), the Google BigQuery warehouse, and the dbt transformation layer
  • Shape platform evolution by contributing to architecture, writing design docs, and participating in design reviews with senior technical leaders
  • Design and maintain batch and CDC ingestion pipelines for operational databases, SaaS applications, and ERP systems
  • Evaluate ingestion and platform tooling with clear trade-off reasoning for buy vs. build
  • Develop end-to-end with AI coding agents, using Claude Code and similar tools daily
  • Improve reliability and observability by implementing testing, monitoring, alerting, and on-call practices so data is timely and failures are detected early
  • Implement governance and operational controls, including access models, auditability, and data safeguards for datasets and pipelines you own
  • Build foundations for agentic analytics with well-modeled, well-governed data that agents and MCP connections can trust for accurate answers
  • Engineer tooling and services beyond the warehouse by building APIs, automated jobs, and internal tools in Python to expand data access beyond SQL
  • Mentor engineers through thoughtful code review, pairing, and knowledge sharing to raise consistency and quality
  • Explore warehouse next steps via hands-on POCs on lakehouse patterns, open table formats, and alternative query engines

Requirements

  • 5+ years building production data platforms and pipelines, with a track record of independently owning and delivering complex projects
  • Strong hands-on data stack experience, including cloud data warehousing (BigQuery or equivalent), dbt, and modern ingestion tooling
  • Ability to weigh platform decisions and clearly explain design trade-offs in writing and in person
  • Practical experience developing with Claude Code or a similar coding agent, treating it as a core engineering practice
  • Reliability-focused mindset with experience implementing testing, observability, and operating practices
  • Governance-aware approach to access controls, auditability, and data-quality safeguards
  • Collaboration skills, including mentoring and knowledge sharing through code review
  • Technical fluency and communication strength: SQL and Python, comfortable with version control, CI/CD, and testing; able to explain work to technical and non-technical stakeholders
  • Comfort working with cloud infrastructure, including serverless compute, storage, and secrets on GCP or AWS
  • Curiosity about the evolving data stack, including lakehouse patterns and query engines, with interest in testing ideas hands-on

Technologies

  • Hevo
  • Estuary
  • Google BigQuery
  • dbt
  • Claude Code
  • Python
  • SQL
  • CI/CD
  • lakehouse patterns
  • open table formats
  • MCP
  • GCP
  • AWS

Benefits

  • Health Insurance: All full-time employees are eligible to enroll in Medical, Dental, and Vision
  • Additional Benefits: Fertility, commuter, and educational assistance benefits
  • 401(K) Matching Plan: Competitive 401k matching plan
  • Vacation: Flexible time-off for salaried employees
  • Holiday Pay: Ten company paid holidays for regular, full-time employees
  • Employee Discounts: Discounts on select grading services for approved submissions
  • Flexible Hours: Flexible schedules with varying shifts; teams work with needs
  • Fun Working Environment: Invitations to celebrations, holiday events, and team building activities

Compensation

  • Salary range: $135,549 - $220,067 per year
  • Actual compensation varies by location, job level, experience, and skill set
  • This role may be eligible for bonuses, commissions, or other forms of compensation; ask your recruiter for details

Interview Process and Remote/Onsite Expectations

  • Candidates are requested to have cameras on during video interviews
  • Certain interview steps may take place by phone
  • Remote or hybrid candidates will be considered
  • Candidates may be asked to participate in an on-site interview as part of the final stages (at Collectors’ discretion)
  • Certain candidates living within a 1 hour commuting distance to a Collectors office may be required to be onsite most of the time
  • Recruiter can clarify expectations and answer questions
  • Accommodation requests for occasional circumstances can be discussed during the process

Employment-Related Statements

  • Collectors uses e-Verify to validate work authorization in the United States
  • Fraud warning: if an offer appears to be fraudulently alleged to be from Collectors, contact [email protected]
  • Collectors states it never asks for personal information such as bank account, Social Security numbers, or National IDs, and it does not request payments for business-related equipment
  • For application or interview accommodations due to disability or special need, email [email protected]
  • U.S. residents: disclosures related to personal information are available in the Privacy Notice for U.S. Applicants
  • New York residents: Collectors Universe, Inc. uses an automated employment decision tool (Brighthire) to assist in evaluating candidates; it began September 2026
  • NYC Local Law 144: a summary of the most recent independent bias audit is available from Brighthire
  • To request information about data collected, its source, and retention policy, contact [email protected]

Location: Los Angeles, CA (hybrid)

Minimum experience: 5 years

Job type: Full-time (salary range provided)

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