Programmers.io
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a GCP Data Engineer in Atlanta, GA, with a contract length of "unknown" and a pay rate of "unknown." Requires 8+ years in ETL/ELT, expertise in BigQuery, Dataflow, and strong SQL/Python skills; retail domain experience preferred.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
August 14, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Atlanta, GA
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🧠 - Skills detailed
#Data Science #"ETL (Extract #Transform #Load)" #SQL (Structured Query Language) #Data Engineering #GCP (Google Cloud Platform) #GitHub #Dataflow #Java #Cloud #Jenkins #Storage #Scala #Data Pipeline #Airflow #Python #BigQuery
Role description
Title: GCP Data Engineer (AEP)
Location: Atlanta, GA
Role Description:
- Seeking a GCP Data Engineer with 8+ years in ETL/ELT, data warehousing, and large‑scale data engineering, including 5+ years building data models and pipelines.
- Must have deep hands‑on expertise in BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, and Airflow/Composer DAGs.
- Responsible for designing secure, scalable, and cost‑optimized data pipelines aligned with governance, privacy, and quality standards.
- Collaborate with onsite/offshore teams to deliver high‑quality data solutions supporting analytics and data science workloads.
- Strong SQL, Python/Java, CI/CD (GitHub/Jenkins), and cloud‑native engineering experience required; retail domain exposure is a plus.
Comments :
Update: Client is specifically looking for AEP (Adobe Experience Platform) and Backend experience. Not looking for AEM experience
Title: GCP Data Engineer (AEP)
Location: Atlanta, GA
Role Description:
- Seeking a GCP Data Engineer with 8+ years in ETL/ELT, data warehousing, and large‑scale data engineering, including 5+ years building data models and pipelines.
- Must have deep hands‑on expertise in BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, and Airflow/Composer DAGs.
- Responsible for designing secure, scalable, and cost‑optimized data pipelines aligned with governance, privacy, and quality standards.
- Collaborate with onsite/offshore teams to deliver high‑quality data solutions supporting analytics and data science workloads.
- Strong SQL, Python/Java, CI/CD (GitHub/Jenkins), and cloud‑native engineering experience required; retail domain exposure is a plus.
Comments :
Update: Client is specifically looking for AEP (Adobe Experience Platform) and Backend experience. Not looking for AEM experience
