REMOTE GCP Data Engineer/Architect

Insight Global
Los Angeles, United States of America
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Los Angeles, United States of America

Tech stack

Adaptable Database Systems
Artificial Intelligence
Data analysis
Big Data
Google BigQuery
Cloud Computing
Data Architecture
Information Engineering
Data Infrastructure
Data Mining
Data Visualization
Identity and Access Management
Python
Machine Learning
SQL Databases
Google Cloud Platform
Data Analytics
Data Pipelines

Job description

Our leading entertainment client is expanding their data team and seeking a Data Engineer with deep expertise in GCP, Big Data, Python, SQL, DBT, and ERD architecture. This cross-functional team operates across three core areas: AI/ML, Data Engineering, and Data Analytics.

  • Collaborate with stakeholders across subscription, viewership, marketing, paid media, CRM, and more. - Support data visualization initiatives and ensure data is accessible and actionable.
  • Work in a highly collaborative environment that values fast learners and team players. Spend approximately 80% of your time in hands-on development using Python and SQL.

Team Dynamic

Data Analytics Engineering (Approx. 80% of time) - Primary Focus: Analyze and maintain data pipelines, conduct root-cause analysis to resolve data-related issues, and create data models leveraging DBT and Medallion architecture.

Tools & Skills: ? Proficient in Python and SQL for pipeline development. ? Initially focused on learning and maintaining existing pipelines, with a gradual transition to building new ones.

Mindset: Business-oriented with a strong analytical approach.

AI/ML Initiatives (Approx. 5% of time)

Objective: Support AI and machine learning efforts using modern platforms such as Vertex AI.

Scope: Limited involvement, primarily assisting with existing initiatives and tools.

Data Engineering (Approx. 15% of time)

Responsibilities: Design and implement scalable data models, pipelines, and architecture.

Technical Stack: Heavy use of Python and SQL to ensure robust and efficient data infrastructure.

Requirements

  • 10+ years in a Data Architect role, with a strong focus on data modeling in Big Data environments (100TB+).

  • Advanced proficiency in Python and SQL for data mining, pipeline development, segmentation, and orchestration.

  • Deep experience with GCP, including BigQuery, GCS Buckets, IAM, Google Cloud Storage (GCS), Cloud Function, Composer, and VertexAI.

  • Proven ability to analyze and troubleshoot complex data pipelines through root-cause analysis.

  • Hands-on experience using DBT for data modeling and transformation workflows.

Strong understanding and application of ERD architecture in enterprise data systems.

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