Job Details
Senior Data Engineer
Direct Hire / Full Time
Glendale, CA - 4 Days WFO
Key Responsibilities:
Create and maintain Data Platform pipelines
Create Conceptual, Logical, and Physical data models
Design table structures using DBT and define data pipelines to build performant, reliable, and
scalable data solutions in a fast-growing data ecosystem.
Collaborate with other data engineers, data scientists, and cross-functional teams.
Fluency with data engineering concepts and platforms (AWS: S3, Lambda, SNS, SQS, Iceberg),
data platforms (Snowflake), governance (data contracts), transformation and orchestration (dbt,
Airflow).
Be an active participant and advocate of agile/scrum ceremonies to collaborate and improve
processes for our team
Collaborate with product managers, architects, and other engineers to drive the success of the
Core Data Platform
Document standards and best practices for pipeline configurations, naming conventions, etc.
Engage with and understand our customers, forming relationships that allow us to understand and prioritize both innovative new offerings and incremental technology improvements
Maintain detailed documentation of your work and changes to support data quality and data governance requirements
Qualifications:
5+ years of data engineering experience developing data pipelines
Strong understanding of data modeling principles, including Dimensional modeling and data normalization principles
Proficiency in at least one major programming language (e.g., Python)
Expert SQL skills and ability to create queries to analyze complex datasets
Hands-on production experience with data pipeline orchestration systems such as Airflow for creating and maintaining data pipelines
Experience with Snowflake
Strong algorithmic problem-solving expertise
Comfortable working in a fast-paced and highly collaborative environment.
Excellent written and verbal communication
Advance understanding of OLTP vs OLAP environments
Willingness and ability to learn and pick up new skill sets
Self-starting problem solver with an eye for detail and excellent analytical and communication skills
Familiar with Scrum and Agile methodologies
Bachelor’s degree in computer science, Information Systems, or equivalent industry experience