Sr AWS Data Engineer - (FT Role - No C2C)

Job Details
Sr AWS Data Engineer 
Fulltime / Direct Hire
Glendale, CA (Hybrid - 4 Days/Week Office)

 
As a Data Engineer , you will help build and maintain data solutions that enable analytics, reporting, and business decision-making across the organization. Working alongside data engineers, architects, product managers, and data consumers, you will develop reliable data pipelines, support data modeling efforts, and contribute to a scalable and efficient data platform. This role offers an opportunity to grow your technical expertise while working with modern cloud data technologies in a collaborative environment.

 
Key Responsibilities:
Develop and maintain data platform pipelines and data integration processes.
Support the implementation of conceptual, logical, and physical data models.
Build and maintain data transformations using dbt and contribute to scalable, reliable data solutions.
Collaborate with data engineers, data scientists, analysts, and cross-functional teams to deliver data products.
Apply data engineering concepts and technologies, including AWS services (S3, Lambda, SNS, SQS), Iceberg, Snowflake, dbt, and Airflow.
Participate in Agile/Scrum ceremonies and contribute to team planning and continuous improvement efforts.
Work with product managers, architects, and engineers to support the Core Data Platform roadmap.
Follow established standards and best practices for data pipelines, naming conventions, and platform development.
Monitor and support the quality, reliability, and operational health of data platform datasets and pipelines.
Contribute to documentation of data assets, processes, and platform standards.
Partner with stakeholders to understand business requirements and support delivery of data solutions.
Maintain documentation to support data quality, governance, and operational requirements.
 

Qualifications:

2–5 years of experience developing and supporting data pipelines.
Understanding of data modeling concepts, including dimensional modeling and data normalization principles.
Proficiency in at least one program