Senior Data Engineer – Core Data Platform

Location: Glendale (Onsite – 4 Days/Week)
Job Type: Full-Time

Job Summary

We are seeking an experienced Senior Data Engineer to design, develop, and optimize enterprise-scale data platforms and pipelines. The ideal candidate will have strong expertise in Snowflake, Python, SQL, AWS, Airflow, and DBT, with hands-on experience building scalable, high-performance data solutions in production environments.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines and Core Data Platform solutions.
• Create conceptual, logical, and physical data models.
• Build and optimize data warehouse solutions using Snowflake and DBT.
• Develop and maintain ETL/ELT pipelines using Airflow.
• Collaborate with product managers, architects, data scientists, and engineering teams.
• Design reliable, scalable, and high-performing data solutions.
• Implement data governance, data contracts, and best practices.
• Optimize SQL queries and improve data pipeline performance.
• Work with AWS services including S3, Lambda, SNS, and SQS.
• Maintain documentation for data pipelines, standards, and governance.
• Participate in Agile/Scrum ceremonies and contribute to continuous improvement.
• Ensure data quality, reliability, and SLA compliance across the platform.

Required Qualifications

• 9–13 years of overall IT experience.
• 5+ years of hands-on Data Engineering experience.
• Strong experience building and supporting Core Data Platforms.
• Hands-on experience with Snowflake implementation and optimization.
• Strong Python programming skills.
• Advanced SQL, including complex query development and performance tuning.
• Experience with Airflow and DBT.
• Strong knowledge of:
  • Dimensional Data Modeling
  • Data Normalization
  • OLTP vs. OLAP architectures
• Experience designing enterprise-scale data pipelines and data warehouse solutions.
• Experience with AWS services:
  • S3
  • Lambda
  • SNS
  • SQS
• Experience with Apache Iceberg.
• Strong analytical, communication, and problem-solving skills.
• Experience working in Agile/Scrum environments.
• Bachelor''''''''''''''''s degree in Computer Science, Information Systems, or a related field (or equivalent experience).

Preferred Qualifications

• Experience with Apache Spark and/or Databricks.
• Experience with enterprise data governance and data contracts.
• Experience supporting analytics and data science platforms.
• Strong documentation and stakeholder management skills.

Skills

Python, SQL, Snowflake, DBT, Airflow, AWS, S3, Lambda, SNS, SQS, Apache Iceberg, Data Engineering, Core Data Platform, Data Modeling, Dimensional Modeling, Data Normalization, OLTP, OLAP, ETL, ELT, Data Warehouse, Data Pipelines, Data Governance, Data Contracts, Performance Tuning, Agile, Scrum, Apache Spark, Databricks.

Work Authorization

• U.S. Citizen (USC)
• (GC)
• (EAD)
• H-4 EAD
• L-2 EAD