Hybrid - Senior Data Engineer - Mountain View, CA

S M Software Solutions Inc; Canada; Hybrid; CAD 90,000 - 120,000; Full time

Job summary

A leading software solutions company is seeking a Senior Data Engineer to design and implement robust data systems. The ideal candidate has over 7 years of experience in data engineering, excels in SQL and Python, and thrives in fast-paced environments. This hybrid position offers immediate onboarding for local candidates.

Qualifications

• 7+ years of hands-on experience in data engineering roles.
• Advanced SQL skills with strong experience in data modeling.
• Proficiency in Python for data processing and scripting.

Responsibilities

• Design and implement scalable and efficient data models.
• Develop, test, and maintain production-grade data pipelines.
• Collaborate with product and engineering teams for data-driven decisions.

Skills

Data modeling

ETL frameworks

Advanced SQL

Python

Analytical skills

Communication

Tools

SnapLogic

Airflow

DBT

Snowflake

Job description

Job Title: Senior Data Engineer (High Priority)
Location: Preferably Mountain View, CA — Hybrid (Local candidates highly preferred)
Start Date: Immediate
Duration: 6+ months

About the Role

We are looking for a Senior Data Engineer to join a high-performing team focused on building scalable and reliable data infrastructure. In this role, you will play a key part in designing and implementing modern data pipelines and models that support critical business operations and analytics.

This is a high-priority position in a fast-paced environment. Candidates who thrive in execution-focused, collaborative settings will find this opportunity both challenging and rewarding. Interviews and onboarding are being conducted on an immediate basis.

Key Responsibilities

• Design and implement scalable and efficient data models and schemas

• Develop, test, and maintain production-grade data pipelines

• Collaborate with product, engineering, and analytics teams to enable data-driven decision-making

• Ensure data quality, consistency, and reliability across the data stack

• Build and manage ETL workflows using modern tools and best practices

• Monitor and troubleshoot data pipeline performance and issues

Required Qualifications

• 7+ years of hands-on experience in data engineering roles

• Advanced SQL skills with strong experience in data modeling and schema design

• Proficiency in Python for data processing and scripting

• Experience with ETL frameworks and tools (e.g., SnapLogic, Airflow, DBT, etc.)

• Strong analytical and problem-solving skills

• Ability to work independently in a fast-paced, team-oriented environment

• Excellent communication and documentation skills

Nice to Have

• Experience with Snowflake (strongly preferred)

• Familiarity with SnapLogic or other modern ETL platforms

• Understanding of CI/CD pipelines and data operations (DataOps) best practices