Azure Engineer - Full Time

Aliso Viejo, CA, US • Posted 17 hours ago • Updated 1 hour ago

Full Time

On-site

Fitment

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Job Details

Skills

Kafka
SQL
Spark
PySpark
Delta Lake
databricks
snowflake
Azure Data
Data Engineering / Data Architecture
Synapse / Fabric

Summary

Role: Azure Engineer

Location : Aliso Viejo, CA (Onsite)

Job Type: Full Time

RequiredSkills:

Python, Azure, Databricks, SQL, ADF, Fabric/Synapse, Snowflake, Apache Spark (PySpark/SQL), Kafka, dBT

Experience Required: Min 10+ years

Experience and Qualifications:

Bachelor's or Master's degree in Computer Science, Engineering, or related field.
10+ years in data engineering/architecture with substantial hands-on depth in Azure.
Expert in Azure Databricks & Apache Spark (PySpark/SQL), Delta Lake, Unity Catalog, job orchestration, and performance tuning.
Strong Snowflake on Azure experience (schema design, performance/cost optimization, RBAC, streams/tasks).
dbt expertise (project structure, tests, exposures, macros; Core or Cloud) and solid SQL/Python fundamentals.
Proven track record building ETL/ELT pipelines with ADF and/or Synapse/Fabric pipelines; familiarity with Event Hubs/Kafka for streaming.
Solid foundation in lakehouse and warehousing architectures, dimensional modeling, medallion patterns, and data quality frameworks.
Security & governance know-how: Purview lineage/catalog, data masking, PII handling, managed identities, private networking

Nice to Have:

Experience with Azure ML, feature stores, or serving ML pipelines from Databricks/Snowflake.
Infrastructure as Code (Terraform/Bicep) for Azure data platforms, containerization with Docker.
Observability tools (Great Expectations/Delta Expectations, Databricks quality flows, Monte Carlo, DataDog).

Certifications (Preferred):

Databricks Certified Data Engineer Professional (or Architect).
Microsoft Azure: DP-203 (Data Engineering), Azure Solutions Architect Expert, Azure Security Engineer Associate.
Snowflake: SnowPro Core / Advanced.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91091604
Position Id: 2026-3411
Posted 17 hours ago

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Azure Engineer - Full Time

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