Hybrid - Senior Data Engineer - Intuit

S M Software Solutions Inc; Canada; Hybrid; CAD 90,000 - 130,000; Full time

Job summary

A leading tech company is seeking a Senior Data Engineer to join their dynamic team focused on building robust data infrastructure. The ideal candidate will have extensive experience in data engineering, proficiency in SQL and Python, and a drive to deliver high-quality, reliable data solutions.

Qualifications

• 10+ years of experience in data engineering.
• Proficient in SQL and Python with advanced scripting skills.
• Experience with modern ETL/ELT tools like SnapLogic and Airflow.

Responsibilities

• Design and implement scalable data models and schema architectures.
• Develop and maintain production-grade, reliable data pipelines.
• Collaborate with product and engineering teams to deliver data-driven solutions.

Skills

SQL

Python

ETL/ELT

Data Modeling

Data Processing

Cloud Platforms

Data Quality

Scripting

Cross-Functional Collaboration

Tools

SnapLogic

Airflow

DBT

CI/CD

Job description

Job Title: Senior Data Engineer

Location: Preferably Mountain View, CA (Hybrid considered for candidates in PST time zone only – must be a 100% skill match)
Start Date: Immediate
Duration: 6+ months
Interview Process: Single panel interview (2 interviewers) – 45 minutes

About the Role

We are hiring Senior Data Engineers to join a dynamic, high-impact team focused on building and maintaining robust data infrastructure. This role is deeply rooted in core data engineering practices including pipeline development, data modeling, and platform reliability.

Ideal candidates thrive in a fast-paced, execution-oriented environment and bring hands-on experience with modern data engineering tools, cloud platforms, and cross-functional collaboration.

Interviews and onboarding are conducted on a fast-track basis.

Key Responsibilities

• Design and implement scalable data models and schema architectures

• Develop and maintain production-grade, reliable data pipelines

• Collaborate with product, analytics, and engineering teams to deliver data-driven solutions

• Ensure performance, data quality, and system reliability across the data stack

• Build and manage ETL/ELT workflows using modern tools and frameworks

Required Qualifications

• 10+ years of experience in data engineering

• Strong proficiency in SQL, including data modeling and schema design

• Advanced scripting skills in Python for data processing and automation

• Hands-on experience with ETL/ELT tools and orchestration frameworks (e.g., SnapLogic, Airflow, DBT)

• Proven ability to work independently and solve complex technical problems

• Effective communication and collaboration skills in cross-functional environments

Preferred Qualifications

• Experience with Snowflake

• Familiarity with SnapLogic or other modern ETL platforms

• Knowledge of CI/CD pipelines and data operations best practices