Senior Associate Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Associate Data Engineer, contract length is unspecified, with a pay rate of "unknown." It requires expertise in GCP, 4-5+ years in data engineering, and experience with Retail Media Network data. Location is Pleasanton, CA or Dallas, TX.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
September 30, 2025
πŸ•’ - Project duration
Unknown
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🏝️ - Location type
Unknown
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
Dallas, TX
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🧠 - Skills detailed
#Data Pipeline #Python #"ETL (Extract #Transform #Load)" #BigQuery #Dataflow #Data Quality #Data Processing #Scala #GCP (Google Cloud Platform) #Data Engineering #Data Manipulation #Cloud
Role description
Job Title: Senior Associate Data Engineer Expected Start Date: ASAP Location: Pleasanton, CA or Dallas, TX Interview Process: 1 internal video interviews & 1-2 client rounds (trying to limit this to one) Senior Associate Data Engineer We are seeking a highly skilled Senior Associate Data Engineer with deep expertise in Google Cloud Platform (GCP) tools and a strong understanding of Retail Media Network (RMN) data. This role will focus on building scalable data pipelines, optimizing data workflows, and supporting media monetization initiatives. Your Impact: ο‚· Design, develop, and maintain robust ETL pipelines using Dataflow, Cloud Composer, and BigQuery. ο‚· Implement and optimize data warehousing solutions to support analytics and reporting. ο‚· Work with event streaming technologies to process real-time data. ο‚· Collaborate with cross-functional teams to ingest, transform, and model RMN data for media monetization use cases. ο‚· Ensure data quality, reliability, and performance across all pipelines. ο‚· Write clean, efficient, and scalable code in Python for data processing tasks. Your Skills & Experience: ο‚· 4-5+ years of experience in data engineering, preferably in a media or retail environment. ο‚· Advanced proficiency in BigQuery, GCS, Dataflow, and Cloud Composer. ο‚· Strong understanding of ETL processes, data warehousing concepts, and event streaming. ο‚· Proficiency in Python for data manipulation and pipeline development. ο‚· Prior experience working with Retail Media Network (RMN) data and media monetization strategies. β€’ ο‚· Excellent problem-solving and communication skills.