Madison-Davis, LLC
Azure Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for an Azure Data Engineer with a contract length of "unknown" and a pay rate of "unknown." Key skills include Azure Databricks, Python, PySpark, SQL, and experience in cybersecurity. Strong data engineering experience and collaboration skills are required.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
600
-
ποΈ - Date
May 5, 2026
π - Duration
Unknown
-
ποΈ - Location
Unknown
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
New York City Metropolitan Area
-
π§ - Skills detailed
#Data Lakehouse #"ETL (Extract #Transform #Load)" #REST (Representational State Transfer) #Compliance #Azure #Azure Databricks #Spark (Apache Spark) #Databricks #Data Engineering #FastAPI #Data Pipeline #NoSQL #Databases #Data Integration #REST API #Cybersecurity #Data Quality #Python #Scala #Agile #PySpark #API (Application Programming Interface) #Synapse #Security #Data Processing #SQL (Structured Query Language) #Data Lake
Role description
Job Description:
A leading enterprise organization is seeking an Azure Data Engineer to support the buildout of a centralized data lakehouse environment focused on cybersecurity and enterprise data integration. This role will play a key part in designing and developing scalable data pipelines that ingest and transform large volumes of structured and unstructured data.
You will work closely with cross-functional teams including data owners, security engineering, and architecture to ensure reliable, high-performance data delivery while supporting modernization initiatives across the platform.
What Youβll Tackle
β’ Design and build automated data pipelines using Azure and Databricks
β’ Develop ingestion frameworks for API-based and external data sources
β’ Optimize and tune pipeline performance for large-scale data processing
β’ Implement and maintain data lake and lakehouse architectures
β’ Collaborate with stakeholders across engineering and security teams
β’ Ensure data quality, reliability, and compliance with internal standards
β’ Support agile delivery cycles and sprint-based development
What You Bring
β’ Proven data engineering experience
β’ Strong expertise in Python, PySpark, and SQL
β’ Hands-on experience with Azure Databricks
β’ Experience with Azure services (Data Lake Gen2, Data Factory, APIs)
β’ Proven experience building pipelines using REST API data sources
β’ Experience with performance tuning and optimization
β’ Strong understanding of relational and/or NoSQL databases
β’ Experience building APIs using Python frameworks (e.g., FastAPI)
β’ Strong communication and stakeholder collaboration skills
Nice to Have
β’ Experience in cybersecurity or security data environments
β’ Familiarity with Azure Synapse or Microsoft Fabric
β’ Experience with enterprise-scale data lakehouse platforms
β’ Azure certifications
Job Description:
A leading enterprise organization is seeking an Azure Data Engineer to support the buildout of a centralized data lakehouse environment focused on cybersecurity and enterprise data integration. This role will play a key part in designing and developing scalable data pipelines that ingest and transform large volumes of structured and unstructured data.
You will work closely with cross-functional teams including data owners, security engineering, and architecture to ensure reliable, high-performance data delivery while supporting modernization initiatives across the platform.
What Youβll Tackle
β’ Design and build automated data pipelines using Azure and Databricks
β’ Develop ingestion frameworks for API-based and external data sources
β’ Optimize and tune pipeline performance for large-scale data processing
β’ Implement and maintain data lake and lakehouse architectures
β’ Collaborate with stakeholders across engineering and security teams
β’ Ensure data quality, reliability, and compliance with internal standards
β’ Support agile delivery cycles and sprint-based development
What You Bring
β’ Proven data engineering experience
β’ Strong expertise in Python, PySpark, and SQL
β’ Hands-on experience with Azure Databricks
β’ Experience with Azure services (Data Lake Gen2, Data Factory, APIs)
β’ Proven experience building pipelines using REST API data sources
β’ Experience with performance tuning and optimization
β’ Strong understanding of relational and/or NoSQL databases
β’ Experience building APIs using Python frameworks (e.g., FastAPI)
β’ Strong communication and stakeholder collaboration skills
Nice to Have
β’ Experience in cybersecurity or security data environments
β’ Familiarity with Azure Synapse or Microsoft Fabric
β’ Experience with enterprise-scale data lakehouse platforms
β’ Azure certifications
