Senior Software Engineer - Backend, Data Products - MarTech/AdTech

Three Pillars

  • San Francisco, California
  • 5 days ago

    Highlights

    You develop Reactors (the Observe / Match / Act / Compose primitives at the heart of the platform), the connectors and tooling that bring messy real-world data in, the validation that keeps it trustworthy, and the backend/GraphQL surface that exposes it. As a Senior Software Engineer on Backend, Data Products, you build the product itself — the composable, self-correcting pipeline capabilities customers actually use.

    Numbers & Facts

    LocationSan Francisco, California

    Description

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    Senior Software Engineer - Backend, Data Products


    As a Senior Software Engineer on Backend, Data Products, you build the product itself — the composable, self-correcting pipeline capabilities customers actually use. You develop Reactors (the Observe / Match / Act / Compose primitives at the heart of the platform), the connectors and tooling that bring messy real-world data in, the validation that keeps it trustworthy, and the backend/GraphQL surface that exposes it. This is applied backend engineering: turning a hard product vision into resilient, shippable features.


    What You'll Do

    • Build and extend Reactors — the Observe / Match / Act / Compose primitives that make pipelines composable and self-correcting.
    • Develop connectors, ingestion, and transformation tooling for diverse, messy marketing data sources, including schema evolution.
    • Build data validation and quality into the pipeline (e.g., Great Expectations–style contracts) so correctness is enforced, not hoped for.
    • Design and ship the backend / GraphQL surface that exposes pipeline capabilities to internal teams and customers.
    • Orchestrate multi-step pipeline work with workflow engines (Temporal) and event-driven dispatch (NATS/JetStream).
    • Collaborate in a sprint-based cycle with product and science to turn analytical workloads into production features.


    What Will Help You Succeed:

    Engineering fundamentals

    • 5+ years writing production software, with deep Python (3.10+, async/await, type hints; pandas, SQLAlchemy, Pydantic).
    • Built resilient, observable ETL/ELT pipelines that ingest, transform, and validate data at scale.
    • API/backend design: GraphQL and/or REST contracts, versioning, and ergonomics other engineers actually enjoy using.
    • PostgreSQL depth — schema design, query optimization; comfortable with both ORM and raw SQL.


    Systems & tooling

    • Event-driven and workflow-orchestrated systems (Temporal, NATS / Kafka, or similar).
    • Data validation / quality frameworks, and a habit of designing for correctness and debuggability.


    Nice to have

    • Plugin / extension development (Apache NiFi or similar) and fluency with AI coding assistants as part of your workflow.
    • Performance-sensitive work in a systems language (Rust, C++); graph / lineage modeling; connector ecosystems.


    The role is right for you if:

    • You like turning a hard product vision into clean, composable systems others build on.
    • You build and ship alongside the team, and you treat pipeline correctness as a feature.


     

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