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

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.

• 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/Jet Stream).
• Collaborate in a sprint-based cycle with product and science to turn analytical workloads into production features.

• 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.

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

• 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.

• 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.