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Senior Data Engineer

Prudent Technologies and ConsultingGlendale, CA🇺🇸United StatesPosted 14 Jul 2026

Why This Role Stands Out

This Senior Data Engineer role at Prudent Technologies and Consulting offers significant opportunities to build and scale data solutions within a thriving tech environment. You'll thrive here if you possess strong data modeling and pipeline development skills, enjoy collaborating with diverse teams, and are eager to contribute to innovative data platforms. Apply to elevate your career and make a tangible impact.

Quick Overview

Work Type
On Site
Level
Mid Senior

Job Description

Role: Senior Data Engineer

Location: Glendale, CA (4 Days Work From Office)

Full Time

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:

  • 10+ 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

Skills

SQL
AWS
Scrum
Snowflake
Agile
Airflow
Data Pipeline
Python
dbt

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