S M Software Solutions Inc
Hybrid-Senior Data Engineer-Intuit
S M Software Solutions Inc - San Francisco, California, United States, 94199
Work at S M Software Solutions Inc
Overview
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Overview
About the Role:
We are seeking
Senior Data Engineers
to join an experienced team building robust data infrastructure to support high-impact analytics and business needs. This role leans heavily into core data engineering - from pipeline development to data modeling - and requires hands-on expertise with modern data stack tools and strong collaboration across teams. This is a
fast-paced, execution-focused
environment with immediate interviewing and onboarding.
Key Responsibilities:
Design and implement scalable data models and schemas Develop and maintain reliable, production-grade data pipelines Work closely with product and analytics teams to support data-driven features Ensure performance, data quality, and operational reliability across the stack Build and support ETL workflows using modern tools and frameworks
Required Qualifications:
5+ years of experience in Data Engineering Advanced
SQL
skills with experience in
data modeling and schema design Strong coding ability with
Python
for scripting and transformations Experience with
ETL tools or frameworks
(e.g., SnapLogic, Airflow, DBT, etc.) Excellent problem-solving skills and the ability to work independently Comfortable working in fast-moving, collaborative environments Strong communication and documentation skills
Nice to Have:
Experience with
Snowflake
is a
strong plus Experience with
SnapLogic
or similar modern ETL platforms Familiarity with CI/CD and data ops practices
We are seeking
Senior Data Engineers
to join an experienced team building robust data infrastructure to support high-impact analytics and business needs. This role leans heavily into core data engineering - from pipeline development to data modeling - and requires hands-on expertise with modern data stack tools and strong collaboration across teams. This is a
fast-paced, execution-focused
environment with immediate interviewing and onboarding.
Key Responsibilities:
Design and implement scalable data models and schemas Develop and maintain reliable, production-grade data pipelines Work closely with product and analytics teams to support data-driven features Ensure performance, data quality, and operational reliability across the stack Build and support ETL workflows using modern tools and frameworks
Required Qualifications:
5+ years of experience in Data Engineering Advanced
SQL
skills with experience in
data modeling and schema design Strong coding ability with
Python
for scripting and transformations Experience with
ETL tools or frameworks
(e.g., SnapLogic, Airflow, DBT, etc.) Excellent problem-solving skills and the ability to work independently Comfortable working in fast-moving, collaborative environments Strong communication and documentation skills
Nice to Have:
Experience with
Snowflake
is a
strong plus Experience with
SnapLogic
or similar modern ETL platforms Familiarity with CI/CD and data ops practices