Snowflake/DBT/AWS Data Engineer

OSTechnical; Irvine (CA); Hybrid; USD 130,000 - 160,000; Full time

Benefits offered by this job

Medical insurance

Vision insurance

401(k)

Job summary

A technology firm in Irvine, CA is seeking a Senior Data Engineer to design and build a modern data platform. This includes developing scalable data pipelines, optimizing data models, and enabling self-service analytics. Candidates should possess a Bachelor's degree, 5+ years of experience in data engineering, and expertise in Snowflake and AWS. The position is full-time with hybrid work options and offers benefits such as medical and vision insurance, plus 401(k).

Qualifications

• 5+ years of data engineering experience.
• Hands-on expertise with Snowflake, dbt, and Fivetran.
• Strong background in data warehousing, dimensional modeling, and SQL.
• Experience with AWS (S3) and data governance tools such as Alation or Atlan.
• Proficiency in Python for scripting and automation.
• Knowledge of data security and compliance best practices.
• Exposure to AI/ML workflows.

Responsibilities

• Build and maintain scalable data pipelines.
• Design and optimize enterprise data models.
• Support data cataloging, lineage, quality, and compliance efforts.
• Translate business and analytics requirements into reliable data solutions.

Skills

Data modeling and warehousing

Strong communication and cross-functional collaboration

Interest in emerging data and AI technologies

Education

Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field

Tools

Snowflake

dbt

Fivetran

AWS (S3)

Python

Kafka

Kinesis

Flink

Power BI

Tableau

Looker

Job description

Position Overview

Senior Data Engineer – Snowflake/AWS /DBT Data Engineer. Local to Irvine, CA. Full Time Direct Hire. Hybrid work (Irvine, CA). The Senior Data Engineer will help design and build a modern data platform that supports enterprise analytics, integrations, and AI/ML initiatives. This role focuses on developing scalable data pipelines, modernizing the enterprise data warehouse, and enabling self‑service analytics across the organization.

Base Pay Range

$130,000.00/yr – $160,000.00/yr

Key Responsibilities

• Build and maintain scalable data pipelines using Snowflake, dbt, and Fivetran.
• Design and optimize enterprise data models for performance and scalability.
• Support data cataloging, lineage, quality, and compliance Efforts.
• Translate business and analytics requirements into reliable data solutions.
• Use AWS (primarily S3) for storage, integration, and platform reliability.
• Perform other data engineering tasks as needed.

Required Qualifications

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field.
• 5+ years of data engineering experience.
• Hands‑on expertise with Snowflake, dbt, and Fivetran.
• Strong background in data warehousing, dimensional modeling, and SQL.
• Experience with AWS (S3) and data governance tools such as Alation or Atlan.
• Proficiency in Python for scripting and automation.
• Experience with streaming technologies (Kafka, Kinesis, Flink) a plus.
• Knowledge of data security and compliance best practices.
• Exposure to AI/ML workflows and modern BI tools like Power BI, Tableau, or Looker.
• Ability to mentor junior engineers.

Skills

• Data modeling and warehousing.
• Strong communication and cross‑functional collaboration.
• Interest in emerging data and AI technologies.

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Design and Engineering

Industries

Information Technology & Services and Manufacturing

Employee Benefits

• Medical insurance
• Vision insurance
• 401(k)