

PineQ Lab Technology
Adobe MarTech Developer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for an "Adobe MarTech Developer" with a contract length of "6 months" and a pay rate of "$80-$100/hour." Remote work is available. Key skills include AEP data ingestion, Java 21/Spring Boot, and data pipeline development.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
-
ποΈ - Date
June 11, 2026
π - Duration
Unknown
-
ποΈ - Location
Unknown
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
Duluth, GA
-
π§ - Skills detailed
#Spring Boot #Data Ingestion #Batch #Data Pipeline #GCP (Google Cloud Platform) #Microservices #MongoDB #Airflow #Docker #Triggers #Java #Databases #PostgreSQL #Monitoring #BigQuery
Role description
Primary Skills
1. AEP Data Ingestion & XDM Modelin
gIngest customer, behavioral, and transactional data into AEP (batch/streaming) and build XDM schemas with identity stitching for RealβTime Customer Profile. Should be able to demonstrate was implemented , what challenges they faces and business value added
.
1. Segmentation & Customer Behavior Insigh
tsCreate behavioral and lifecycle segments (cart abandonment, lapsed, highβvalue, affinity) and validate customer behavior flows and match rate
s.
1. Activation Patterns & RealβTime Trigg
ersImplement activation patterns to AJO, Responsys, Google, Meta, and support realβtime triggers like browse β email, cart β journey, purchase β loyalty upda
te.
1. Microservices & Platform Integrat
ionsDevelop Java 21/Spring Boot microservices on GCP (GKE, Docker) and integrate with AEP, AJO, Responsys, and CDP platfo
rms.
1. Data Pipelines, Databases & D
evOpsBuild BigQuery/Airflow pipelines, optimize MongoDB/PostgreSQL for <500ms latency, and support CI/CD, monitoring, and onβcall reliability operat
ions.
Primary Skills
1. AEP Data Ingestion & XDM Modelin
gIngest customer, behavioral, and transactional data into AEP (batch/streaming) and build XDM schemas with identity stitching for RealβTime Customer Profile. Should be able to demonstrate was implemented , what challenges they faces and business value added
.
1. Segmentation & Customer Behavior Insigh
tsCreate behavioral and lifecycle segments (cart abandonment, lapsed, highβvalue, affinity) and validate customer behavior flows and match rate
s.
1. Activation Patterns & RealβTime Trigg
ersImplement activation patterns to AJO, Responsys, Google, Meta, and support realβtime triggers like browse β email, cart β journey, purchase β loyalty upda
te.
1. Microservices & Platform Integrat
ionsDevelop Java 21/Spring Boot microservices on GCP (GKE, Docker) and integrate with AEP, AJO, Responsys, and CDP platfo
rms.
1. Data Pipelines, Databases & D
evOpsBuild BigQuery/Airflow pipelines, optimize MongoDB/PostgreSQL for <500ms latency, and support CI/CD, monitoring, and onβcall reliability operat
ions.






