
Consultant, Data Engineering
Dell Technologies · Posted Oct 16
Enterprise infrastructure, personal computers, servers, storage, and cloud technology solutions
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About the role
Data Science at Dell Technologies pioneers massively parallel, data-intensive analytic processing, collaborating with leading academics, industry experts, and skilled engineers to help customers generate insights from petabyte-scale data. This Consultant role on the Data Engineering team builds 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. The role owns source and publishing contracts, connectors and change-data-capture, the raw landing zone, ingestion observability, and grounding discipline for data arriving from upstream domain teams.
What you will do
- 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.
Skills used in this role
What the employer is looking for
- Senior / staff-level, hands-on depth in data sourcing and ingestion - the core discipline of this role. Comes with 12-15 years of experience.
- 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.
Preferred qualifications
- Bachelor’s degree in Computer Science, Data Engineering, or related field; advanced degree preferred.
- Certifications or vendor credentials for cloud data platforms.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Dell Technologies
Dell Technologies is a multinational technology company that develops, sells, repairs, and supports computers and related products and services. The company provides foundational infrastructure for enterprises, ranging from personal computers and servers to cutting-edge AI factories and cloud data solutions.
- Industry
- Hardware
- Company size
- 10001+ employees
- Founded
- 1984
- Location
- Round Rock, Texas, USA
- Funding stage
- Public Company
Leadership
Chairman and Chief Executive Officer
Vice Chairman and Chief Operating Officer
David Kennedy
Chief Financial Officer
John Roese
Global Chief Technology Officer & Chief AI Officer
Jennifer Saavedra
Chief Human Resources Officer
Recent coverage
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