Trusted AI Data Engineer for Provenance and Scale

Dell Technologies Inc.; Round Rock (TX); On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

Health benefits

Job summary

Dell Technologies is seeking a data engineering professional to build and maintain trusted data foundations that power AI agents. You will design and implement end-to-end pipelines from raw sources to gold data, with provenance tagging and SLA-driven freshness across high-volume workloads.

You will work on entity resolution, model-based extraction lanes, and governance controls, using PySpark, Python, and Spark within lakehouse ecosystems.

Qualifications

• Hands-on data engineering with strong emphasis on correctness and lineage.
• Experience building data pipelines from Bronze to Gold with provenance tagging.
• Familiarity with unstructured content extraction and lakehouse architectures.

Responsibilities

• Own the medallion data pipeline, ensuring traceable lineage across stages.
• Lead entity resolution to produce a canonical identity for downstream systems.
• Develop model-based extraction lanes to pull structure from HTML, PDF, and assets.
• Ensure provenance and trust with gates and quarantine of failing records.

Skills

PySpark

Python

Java

SQL

Spark

Data modeling

Data quality

Tools

Databricks

Iceberg

Delta Lake

Airflow

S3

Teradata

Oracle

SingleStore

SQL Server

AWS Step Functions

Job description

Dell Technologies is seeking a data engineering professional to build and maintain trusted data foundations that power AI agents. You will design and implement end-to-end pipelines from raw sources to gold data, with provenance tagging and SLA-driven freshness across high-volume workloads.

You will work on entity resolution, model-based extraction lanes, and governance controls, using PySpark, Python, and Spark within lakehouse ecosystems.