Senior Data Engineer: Enterprise Data Platform & AI

Gibson Dunn; New York (NY); On-site; USD 150,000 - 200,000; Full time

Benefits offered by this job

Health care

Retirement benefits

Paid time off

Parental leave

Life insurance

Flexible Spending Accounts

Job summary

Gibson Dunn is seeking a Senior Data Engineer to design, build, and operate enterprise data platforms powering reporting, analytics, and AI across the firm in the United States. You will work across data lakes, warehouses, and lakehouse architectures, delivering trusted datasets for analysts, data scientists, and AI/ML workflows.

Responsibilities include ETL/ELT pipeline development, data governance, and collaboration with ML teams to operationalize data products.

Qualifications

• Strong analytical and problem-solving skills with a track record of owning systems end-to-end.
• Ability to work independently and manage competing priorities in operational environments.
• Effective communication with both technical and business teams.
• Proven ability to collaborate across departments to identify and drive improvements.

Responsibilities

• Design, build, and maintain scalable data lakes, warehouses, and lakehouse environments (on-premises and/or cloud) to consolidate data from diverse enterprise sources.
• Develop and orchestrate reliable, automated ETL/ELT pipelines to ingest, transform, and deliver structured and unstructured data.
• Implement layered data architectures (raw/curated/consumption or bronze/silver/gold) supporting analytics and AI workloads.
• Monitor and maintain pipelines to ensure high availability, timeliness, and data freshness.
• Apply data quality, validation, and error-handling practices to ensure accuracy and consistency.
• Establish data lineage, cataloging, and metadata support for governance and traceability.
• Collaborate with data scientists and ML practitioners to curate, prepare, and serve datasets for model training and inference.
• Build and maintain pipelines transforming raw enterprise data into clean, model-ready datasets.

Skills

Analytical thinking

Independent work

Communication

Cross‑functional collaboration

Education

Bachelor’s degree in Computer Science, IT, Engineering, or related field

Tools

SQL

Python

Snowflake

Databricks

Apache Spark

Airflow

Cloud platforms (AWS/Azure/GCP)

Job description

Gibson Dunn is seeking a Senior Data Engineer to design, build, and operate enterprise data platforms powering reporting, analytics, and AI across the firm in the United States. You will work across data lakes, warehouses, and lakehouse architectures, delivering trusted datasets for analysts, data scientists, and AI/ML workflows.

Responsibilities include ETL/ELT pipeline development, data governance, and collaboration with ML teams to operationalize data products.