Backend and Data Engineer (Python/BigQuery/dbt)

Location: San Francisco, CA; preference for candidates within commuting distance of offices in San Francisco, Seattle, or New York City. In-person collaboration is valued.

Salary: $240,000–$260,000 base salary annually, excluding equity and benefits.

Company

hirify.global provides an AI-driven causal marketing platform that helps businesses optimize advertising spend and make data-informed growth decisions.

What you will do

• Architect and build backend services for high-throughput ingestion from ad-network APIs, customer warehouses, and partner tools.
• Develop normalization, validation, data-contract, orchestration, and observability systems for the data platform.
• Design and maintain lakehouse and warehouse schemas, dbt architecture, data-quality frameworks, and lineage.
• Solve distributed-systems challenges including exactly-once semantics, idempotent reprocessing, backfills, schema evolution, and unreliable third-party APIs.
• Set standards for testing, API design, code review, observability, and CI/CD.
• Provide technical direction, mentor senior engineers, and align engineering and data-science teams.

Requirements

• 10+ years of software engineering experience with deep backend and data expertise.
• Expert-level Python experience building production services, APIs, and distributed systems.
• Hands-on experience with a cloud data warehouse or lakehouse; BigQuery is preferred, with Snowflake, Databricks, or Iceberg-based stacks also relevant.
• Deep SQL and dbt experience, including schema design, query correctness, performance, and evolution.
• Staff-level technical leadership, including setting direction across workstreams and writing design documents.
• Excellent written and verbal communication with engineering, product, and executive stakeholders.

Nice to have

• Open-source contributions to Apache Spark, Beam, Iceberg, Arrow, or similar data frameworks and tooling.

Culture & Benefits

• High-performance, low-ego environment with strong ownership and high expectations.
• Small, mission-driven teams focused on inclusion, collaboration, and growth.
• Flexible paid time off and equity participation.
• Health, dental, and vision insurance with multiple plan options.
• Work-from-home stipend, events and offsites, free lunch when working from an office, and new-parent leave.

Hiring process

• Interviews evaluate both backend engineering and data expertise.
• Candidates strong in only one side of the role typically do not advance.