GCP Data Engineer​/Architect

$64 - $80 (hourly estimate)

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.

Data Analytics Engineering (Approx. 80% of time) – Primary Focus:
Analyze and maintain data pipelines, conduct root‑cause analysis to resolve data‑related issues.

• 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.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal‑opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances.

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• 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 Big Query, GCS Buckets, IAM, Google Cloud Storage (GCS), Cloud Function, Composer, and Vertex
  
  AI.
• 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.

Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.