Remote Data Engineer for Experience Platform & Real-Time CDP

Dentsu Aegis Network Ltd.; Northern (KY); Hybrid; USD 90,000 - 160,000; Full time

Benefits offered by this job

Medical, Vision, and Dental

Life insurance

Disability insurance

401k

Paid time off

Paid holidays

Sick and safe leave

Parental leave

Job summary

Dentsu is seeking a Data Engineer to design and optimize enterprise data solutions across Adobe Experience Platform and cloud platforms. You will transform business requirements into production-grade data pipelines to enable activation, analytics, and personalized experiences.

Collaborate with architects, product teams, data scientists, and clients to deliver scalable data ecosystems while ensuring governance and data quality. Remote US role with growth opportunities and leadership impact.

Qualifications

• 2+ years of data engineering experience and client-facing data solutions.
• Strong expertise in Adobe Experience Platform (AEP) and Real-Time CDP.
• Experience with SQL optimization, complex queries, and data modeling.

Responsibilities

• Design and implement data pipelines across AEP, RT-CDP, and cloud data warehouses.
• Develop ingestion, transformation, and enrichment pipelines using SQL, Python, and dbt.
• Integrate Adobe platforms with Journey Optimizer and other Adobe tools.
• Ensure data governance, consent management, and data quality.
• Collaborate with architects, data scientists, and client stakeholders.
• Mentor junior engineers and contribute to engineering best practices.

Skills

Adobe Experience Platform (AEP)

SQL

Python

PySpark

Data pipelines

Data governance

APIs

Cloud platforms

Tools

dbt

Apache Airflow

CRUD/ETL tools

Job description

Dentsu is seeking a Data Engineer to design and optimize enterprise data solutions across Adobe Experience Platform and cloud platforms. You will transform business requirements into production-grade data pipelines to enable activation, analytics, and personalized experiences.

Collaborate with architects, product teams, data scientists, and clients to deliver scalable data ecosystems while ensuring governance and data quality. Remote US role with growth opportunities and leadership impact.