Data Engineer

Build the pipelines that bring the outside world into the Knowledge & Intelligence layer — the governed knowledge spine that grounds AI agents on verified, provenance-backed facts. You own how data gets in: the contracts with upstream domain teams, the connectors and change-data-capture that move it, and the landing zone it arrives in. This is hands‑on data engineering where everything downstream depends on what you bring in — get the source contracts and ingestion solid and every system that reads this data can trust its inputs.

• Source & publishing contracts. Negotiate schema, freshness SLAs, and change‑notice with upstream domain teams — and hold them to it. These contracts are what keep the layer trustworthy.
• Connectors & ingestion. Build and operate the connectors and change‑data‑capture that land upstream sources into the lake, reliably and on their freshness SLA.
• The landing zone. Own the raw landing layer — structure, partitioning, and a clean handoff to the medallion pipeline.
• Ingestion observability. Know when a source breaks, drifts, or goes stale — before anything downstream does.
• Grounding discipline. Nothing lands ungrounded; provenance travels with every record from the moment it arrives.

• You own the front door to the entire layer — every grounded fact starts as something you sourced and landed. Get ingestion right and everything downstream can trust its inputs.
• This is a greenfield role — you're standing up the sourcing patterns and the contracts from scratch, not inheriting a maintenance queue.
• High leverage on reliability — the freshness and trustworthiness of the whole layer rests on the inputs you bring in.
• Senior / staff‑level, hands‑on depth in data sourcing and ingestion — the core discipline of this role.
• Strong Python — your primary language for building and operating pipelines, connectors, and tooling.
• A track record of landing diverse upstream sources into a data lake reliably and on their freshness SLA.
• Proven experience handling data at high volume, with real attention to cost, partitioning, and performance.
• A provenance mindset — “where did this come from” travels with every record you land.
• Strong collaboration and stakeholder communication with upstream domain teams.

Ingestion takes whatever shape the source needs — depth in one or two matters more than all of them:

Dell is committed to fair and equitable compensation practices. The salary range for this position is USD $187,850 - USD $243,100

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