Senior Software Engineer - Backend, Data Products - MarTech/AdTech
Summary
Senior backend engineer building the product core of a marketing/advertising data platform: composable pipeline 'Reactors', connectors and validation for messy marketing data, and the backend/GraphQL API exposing it. Daily work centers on Python, PostgreSQL, Temporal, NATS/Kafka, and GraphQL.
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.