

Data Engineer - Adobe Experience Platform (AEP)
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer specializing in Adobe Experience Platform (AEP) in Louisville, KY, for a 12-month contract. Requires 5+ years in data engineering, expertise in AEP, SQL, Databricks, and Snowflake. Adobe certifications preferred.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
480
-
ποΈ - Date discovered
September 26, 2025
π - Project duration
More than 6 months
-
ποΈ - Location type
On-site
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π - Contract type
W2 Contractor
-
π - Security clearance
Unknown
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π - Location detailed
Louisville, KY
-
π§ - Skills detailed
#GraphQL #GCP (Google Cloud Platform) #Datasets #Data Quality #Complex Queries #Data Processing #Snowflake #Batch #Data Analysis #AWS (Amazon Web Services) #Databricks #EDW (Enterprise Data Warehouse) #"ETL (Extract #Transform #Load)" #Data Integration #Scripting #Data Ingestion #Adobe Launch #Cloud #Monitoring #SQL (Structured Query Language) #Azure #Python #Data Pipeline #Data Manipulation #Scala #Computer Science #Data Governance #Data Architecture #Data Engineering
Role description
Role: Data Engineer - Adobe Experience Platform (AEP)
Location: Louisville, KY (Onsite)
Contract: 12 months
Open for both W2 & C2C
Job Description:
We are seeking a highly skilled and motivated Data Engineer with deep expertise in Adobe Experience Platform (AEP) to join our team. The ideal candidate will have a strong background in data engineering, a thorough understanding of AEPβs data architecture, and hands-on experience with Data Distiller. This role also requires proficiency in modern data platforms and technologies including Databricks, GraphQL, Snowflake, and Enterprise Data Warehousing (EDW).
Key Responsibilities
β’ Design, develop, and maintain scalable data pipelines within Adobe Experience Platform.
β’ Write and optimize complex queries using AEP Data Distiller for data analysis and activation.
β’ Model and manage XDM schemas, datasets, and identity graphs within AEP.
β’ Integrate data from various sources into AEP using batch and streaming ingestion methods.
β’ Collaborate with cross-functional teams to ensure data quality, accessibility, and usability.
β’ Implement data governance, performance tuning, and monitoring for AEP workflows.
β’ Leverage Databricks for advanced data processing and transformation tasks.
β’ Utilize GraphQL to query and interact with APIs and data services.
β’ Work with Snowflake and EDW systems to support data integration and analytics.
β’ Document technical processes, data flows, and architecture for internal stakeholders.
Required Qualifications
β’ Bachelorβs or Masterβs degree in Computer Science, Data Engineering, or related field.
β’ 5+ years of experience in data engineering, with at least 2 years working directly with Adobe Experience Platform.
β’ Strong proficiency in SQL, with the ability to write and optimize complex queries in AEP Data Distiller.
β’ Hands-on experience with Databricks, GraphQL, Snowflake, and Enterprise Data Warehousing.
β’ Deep understanding of XDM schemas, datasets, and identity stitching in AEP.
β’ Experience with data ingestion, transformation, and activation workflows in AEP.
β’ Familiarity with Adobe Real-Time CDP, Customer Journey Analytics, and Adobe Launch is a plus.
β’ Excellent problem-solving, communication, and collaboration skills.
Preferred Skills
β’ Experience with cloud platforms (e.g., Azure, AWS, GCP).
β’ Knowledge of Python or other scripting languages for data manipulation.
β’ Adobe certifications in AEP or related products.
β’ Understanding of marketing technologies and customer data platforms (CDPs).
Role: Data Engineer - Adobe Experience Platform (AEP)
Location: Louisville, KY (Onsite)
Contract: 12 months
Open for both W2 & C2C
Job Description:
We are seeking a highly skilled and motivated Data Engineer with deep expertise in Adobe Experience Platform (AEP) to join our team. The ideal candidate will have a strong background in data engineering, a thorough understanding of AEPβs data architecture, and hands-on experience with Data Distiller. This role also requires proficiency in modern data platforms and technologies including Databricks, GraphQL, Snowflake, and Enterprise Data Warehousing (EDW).
Key Responsibilities
β’ Design, develop, and maintain scalable data pipelines within Adobe Experience Platform.
β’ Write and optimize complex queries using AEP Data Distiller for data analysis and activation.
β’ Model and manage XDM schemas, datasets, and identity graphs within AEP.
β’ Integrate data from various sources into AEP using batch and streaming ingestion methods.
β’ Collaborate with cross-functional teams to ensure data quality, accessibility, and usability.
β’ Implement data governance, performance tuning, and monitoring for AEP workflows.
β’ Leverage Databricks for advanced data processing and transformation tasks.
β’ Utilize GraphQL to query and interact with APIs and data services.
β’ Work with Snowflake and EDW systems to support data integration and analytics.
β’ Document technical processes, data flows, and architecture for internal stakeholders.
Required Qualifications
β’ Bachelorβs or Masterβs degree in Computer Science, Data Engineering, or related field.
β’ 5+ years of experience in data engineering, with at least 2 years working directly with Adobe Experience Platform.
β’ Strong proficiency in SQL, with the ability to write and optimize complex queries in AEP Data Distiller.
β’ Hands-on experience with Databricks, GraphQL, Snowflake, and Enterprise Data Warehousing.
β’ Deep understanding of XDM schemas, datasets, and identity stitching in AEP.
β’ Experience with data ingestion, transformation, and activation workflows in AEP.
β’ Familiarity with Adobe Real-Time CDP, Customer Journey Analytics, and Adobe Launch is a plus.
β’ Excellent problem-solving, communication, and collaboration skills.
Preferred Skills
β’ Experience with cloud platforms (e.g., Azure, AWS, GCP).
β’ Knowledge of Python or other scripting languages for data manipulation.
β’ Adobe certifications in AEP or related products.
β’ Understanding of marketing technologies and customer data platforms (CDPs).