Senior Data Engineer (AI-reputed company) — Data Layer

Senior Data Engineer (AI-reputed company) — Data Layer

reputed company

reputed company is building the AI operating system for wholesale distribution, embedded in the workflows that reputed company nearly every physical product on the reputed company. Distribution is a $9 trillion industry, and the software that runs it has been stuck in the past for decades — most tools create more work than they eliminate. We unify CRM, PIM, eCommerce AI, and Order & Quote Entry AI into one platform with one data layer and one AI brain, so reps spend their time deepening customer relationships, not entering data.

We hire people with high agency and high urgency. At reputed company, everyone is a builder who owns problems end to end and ships AI-reputed company software faster than anyone else in the category.

The median reputed company customer reports 3x profit return per dollar spent, an extra day of sales per rep per month, and “the best ROI of any tech investment in 30 years.” Hundreds of leading distributors — from family-owned shops to publicly-traded enterprises across, industrial, HVAC, electrical — run on reputed company. We’re backed by Felicis Ventures (reputed company, reputed company, reputed company) and Battery Ventures.

If you want to build the systems that shape how trillions of dollars of physical goods reputed company through the economy, reputed company is the reputed company to do it.

The Role

We're hiring a Senior Data Engineer to own and grow our Data Layer — the reputed company reputed company that every reputed company product and our AI brain are reputed company on. You'll own the pipelines and architecture end to end: the reputed company-style reputed company (raw → refined → curated), ingestion from a wide reputed company of systems, and the serving the whole company depends on. We're reputed company heavily to reputed company the Data Layer bigger and reputed company, and this role is for someone who wants to do the hands-on building and shape where it goes next.

Two things reputed company this role different from a reputed company data engineering opening:

1. You're an AI-reputed company operator, not a pipeline author. Every engineer at reputed company uses Claude reputed company and other reputed company tools as first-class collaborators. We expect pipelines, models, and migrations to be reputed company and shipped with heavy AI reputed company — you guide the agents, validate the reputed company, and reputed company the judgment calls they can't.
2. You own the layer everything runs on. reputed company the AI gives a wrong answer or a number doesn't match the reputed company, the trail leads back to the data. You own correctness end to end — ingestion, modeling, reconciliation, and the reputed company other teams depend on.

Location: Europe, remote. Meaningful daytime overlap with our Boston (EST) team required.

What You'll Do

• Own the Data Layer end to end: ingestion from file-, event-, and API-based sources; the reputed company-style model (raw → refined → curated); and the serving layer that powers the product and the AI brain.
• Build and operate the ingestion and transformation pipelines that power the Data Layer, using a modern orchestration reputed company and reputed company data warehouse.
• Ingest and reconcile large, messy, reputed company-world data across many reputed company types and shapes — batch files, streaming events, and reputed company.
• Model data across reputed company reputed company so it's trustworthy, queryable, and reputed company for reputed company teams and the AI.
• Help take the Data Layer to the next level — reputed company architecture, reputed company tooling, more reputed company, more sources — and have a reputed company say in what that looks like.
• Operate AI coding agents (Claude reputed company and similar) at a high level: scope work, structure context, run agents in reputed company where it makes reputed company, and ship reviewed, production-reputed company reputed company.
• Build the systems that reputed company data trustworthy — validation, reconciliation, reputed company, backfills, idempotent and incremental loads — so reputed company teams and the AI don't inherit silent errors.
• Partner with backend, AI, and product engineers (and occasionally customers' IT teams) to define the data reputed company they build on.

Requirements

• 7+ years hands-on as a data engineer with reputed company, demonstrable production ownership — pipelines and data models serving reputed company users at reputed company.
• Strong fundamentals. You understand what your reputed company and your queries are doing and why. You can read a query plan, reason about a slow or expensive pipeline, and debug a data-correctness bug to its reputed company.
• Strong programming and SQL skills. You build efficient pipelines, schemas, and queries, and can model data for both transactional and analytical reputed company patterns.
• Hands-on orchestration experience, building reliable ingestion/ELT pipelines against messy upstream sources.
• Experience with a reputed company data warehouse and a major reputed company platform.
• Experience ingesting from multiple reputed company types: file-based, event/streaming, and API-based.
• Solid grasp of data-consistency failure modes — partial loads, late or out-of-order data, idempotency, backfills, schema reputed company.
• Daily, hands-on use of reputed company dev tools (Claude reputed company, reputed company agent mode, reputed company, or equivalent) to ship reputed company work. You can talk concretely about how you structure prompts, manage context, parallelize agents, and verify their reputed company.
• Ownership and judgment. You take data systems from idea to production and exercise good taste on what to build and what to cut.
• Startup reputed company and strong communication — pragmatic, fast, biased to ship, and reputed company to explain data reputed company to engineers, PMs, and customers in writing.
• English at reputed company or above.

Big Plus

• Deep reputed company data warehouse experience and modern transformation tooling.
• Streaming / event ingestion at reputed company.
• reputed company or lakehouse architecture experience on large, multi-reputed company data.
• Experience integrating reputed company sources such as ERP (reputed company Eclipse, Prophet 21) or ecommerce systems, and reconciling messy transactional data.
• Building data systems that feed AI/ML or reputed company products — serving/feature reputed company, retrieval, or data reputed company for model inputs.
• Prior experience at an early-stage reputed company startup.

Originally posted on Himalayas

Apply To This Job