Senior Data Engineer

Senior Data Engineer – Databricks / AI Data Privacy

We’re looking for a

Senior Data Engineer

to help build an enterprise-grade, AI-driven

data masking and synthetic data framework from the ground up using Databricks

.

📍

Remote – Midwest, Chicago, New York & New Jersey only

Key Responsibilities

• Design and build scalable solutions using

  Databricks Lakehouse, Unity Catalog, Delta Lake & PySpark

• Develop data masking and classification capabilities using

  AI/ML, NLP/NER

• Build high-volume

  synthetic data generation

  solutions while preserving referential integrity

• Develop enterprise ETL/ELT pipelines and automation

• Support

  CI/CD, cloud deployments, governance, security, and data privacy

• Contribute to architecture, implementation, SIT, deployment, and knowledge transfer

Requirements

• Strong hands-on

  Databricks, Unity Catalog, Delta Lake & PySpark

  experience

• Strong

  Python

  and cloud data engineering background

• Experience with

  Azure and/or AWS

• Experience with data architecture, ETL/ELT, CI/CD, and data governance

• Strong understanding of data security, quality, and integrity

Preferred

• NLP / NER / AI-ML experience

• Synthetic data generation

• Data masking / de-identification /

  TDM

• FPE and secure key management

• MLflow / Databricks ML

• Financial services or regulatory experience

Ideal candidate:

A hands-on Senior Data Engineer with strong Databricks and cloud experience who can contribute to both

architecture and implementation

of an enterprise data privacy platform.