Azure Data Engineer - Cybersecurity DataOps (Hybrid)

Experis Technology Group; Charlotte (NC); Hybrid; USD 171,924,000 - 214,906,000; Full time

Job summary

Experis is seeking an experienced Azure Data Engineer to join a Cybersecurity Data Operations team in a hybrid role based in Charlotte, NC or Jersey City, NJ. You will design and develop scalable data ingestion pipelines for security data sources, centralize them in a CyberDW, and ensure governance and security across pipelines.

You will work closely with Insider Risk, Security Engineering, and Data Governance teams, leverage ADF, Databricks, Synapse, and ADLS, and contribute to Agile SDLC

Qualifications

• 5+ years of dedicated Data Engineering experience with a focus on Microsoft Azure data platforms.
• Proven, hands-on expertise with Azure Data Factory (ADF), Azure Databricks, Azure Synapse Analytics, and Azure Data Lake Storage (ADLS).
• Advanced proficiency in SQL and Python (or PySpark) for complex data transformations and pipeline development.
• Experience handling, ingesting, or centralizing security operations data (e.g., DLP, DSPM, SIEM, or Insider Risk logs).
• Demonstrated experience in fast-paced Agile engineering environments with strict SDLC adherence.
• Microsoft Certified: Azure Data Engineer Associate (DP-203) or related security/data certifications preferred.

Responsibilities

• Design, build, and optimize scalable data ingestion and ETL/ELT pipelines within Microsoft Azure to support a centralized Cybersecurity Data Lakehouse.
• Ingest and normalize complex security data streams, including DSPM, DLP, and Insider Risk datasets, into the enterprise CyberDW environment.
• Implement robust data lake architectures using Azure Synapse Analytics, Azure Data Factory (ADF), and Azure Databricks.
• Serve as a technical liaison between Data Owners, Insider Risk analysts, and Security Engineering teams to translate security requirements into technical data solutions.
• Maintain data security, governance, encryption, and regulatory compliance protocols across all pipeline architectures.
• Actively participate in Agile/Scrum sprint routines, managing deliverables, sprint tracking, and adherence to internal IT SDLC standards.

Skills

SQL

Python

Azure Data Factory

Azure Databricks

Azure Synapse Analytics

Azure Data Lake Storage

DSPM/DLP/Insider Risk data

Agile SDLC

Education

5+ years Data Engineering experience

Tools

ADF

Databricks

Synapse

ADLS

Job description

Experis is seeking an experienced Azure Data Engineer to join a Cybersecurity Data Operations team in a hybrid role based in Charlotte, NC or Jersey City, NJ. You will design and develop scalable data ingestion pipelines for security data sources, centralize them in a CyberDW, and ensure governance and security across pipelines.

You will work closely with Insider Risk, Security Engineering, and Data Governance teams, leverage ADF, Databricks, Synapse, and ADLS, and contribute to Agile SDLC