Data Engineering Consultant

Consultant, Data Engineering 

Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods, and models. What’s more, we are in collaboration with leading academics, industry experts, and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data. 

What you’ll achieve: 

As a Consultant, you will lead high-impact data engineering projects that strengthen ingestion, transformation, and data product delivery. You will improve observability and quality, drive standards adoption, and coordinate readiness for analytics and AI workloads. You will collaborate with stakeholders to deliver scalable solutions, robust documentation, and measurable value. 

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.

Join us to do the best work of your career and make a profound social impact as a Consultant on our Data Engineering team.

Take the first step towards your dream career 

Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role: 

Essential Requirements 

• 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.

Desirable Requirements 

• Bachelor’s degree in Computer Science, Data Engineering, or related field; advanced degree preferred. 

• Certifications or vendor credentials for cloud data platforms. 

You will: 

• 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.