Senior Data Engineer (BigQuery/dbt)

Location: US Remote - Los Angeles-Long Beach-Anaheim, California. Remote and hybrid candidates are considered; candidates living within a one-hour commute of a hirify.global office must be onsite most of the time. Candidates may be asked to attend an onsite interview during the final stages.

Salary: $135,549–$220,067 per year, with potential eligibility for bonuses, commissions, or other compensation.

Company

hirify.global provides technology-enabled authentication, grading, vaulting, and trading services for collectibles including trading cards, autographs, comic books, coins, video games, event tickets, and memorabilia.

What you will do

• Build and own scalable, reliable, and secure data-platform components across Hevo, Estuary, Google BigQuery, and dbt.
• Design and maintain batch and CDC ingestion pipelines for operational databases, SaaS applications, and ERP systems.
• Contribute to architecture, technical direction, design documentation, and technical reviews.
• Improve testing, monitoring, alerting, on-call practices, governance, access controls, and auditability.
• Build Python APIs, automated jobs, internal tools, and foundations for analytics agents and MCP connections.
• Partner with analytics engineers, analysts, and business stakeholders while mentoring engineers through reviews, pairing, and knowledge sharing.

Requirements

• 5+ years of experience building and owning production data platforms and pipelines.
• Hands-on experience with cloud data warehouses such as BigQuery, dbt, and modern ingestion tooling.
• Strong Python and SQL skills, with experience in version control, CI/CD, testing, cloud infrastructure, serverless compute, storage, and secrets management.
• Experience developing with Claude Code or a similar AI coding agent.
• Ability to design for scale, failure, and change, explain technical trade-offs, and communicate with technical and non-technical stakeholders.
• Ability to work legally in the United States is required.

Nice to have

• Experience with lakehouse patterns, open table formats, and alternative query engines.
• Experience evaluating build-versus-buy options for data tooling.

Culture & Benefits

• Medical, dental, and vision insurance for full-time employees.
• 401(k) matching, flexible time off, and ten paid company holidays.
• Fertility, commuter, educational assistance, and employee discounts.
• Flexible schedules and support for accommodations when needed.
• Collaborative environment focused on innovation, continuous learning, and in-person collaboration.

Hiring process

• Interviews may take place by video or phone, with cameras requested during video interviews.
• Final stages may include an onsite interview at the company's discretion.