S M Software Solutions Inc
Data Engineer – Intuit
Similar Jobs
Fitness • Information Technology • Software • Sports • Wearables
The Data Engineer I will build and maintain data pipelines, contribute to platform code, and integrate data sources while growing alongside senior engineers in a production-focused role.
Top Skills:
AirflowAWSBigQueryDatabricksDbtDelta LakeIcebergPythonRedshiftSnowflakeSparkSQLTerraformTrino
Legal Tech • Real Estate • Security • Software • Cybersecurity • PropTech
As a Senior Data Engineer, you will design and maintain scalable data models, build production data pipelines, and support analytics across various business functions.
Top Skills:
Analytics ToolsCloud-Based EnvironmentsData ModelingData WarehousingElt PipelinesSQL
Artificial Intelligence • Information Technology • Consulting
The Senior Data Engineer will build scalable data pipelines, optimize Snowflake data warehouses, and enable reporting via Power BI while collaborating with stakeholders.
Top Skills:
ETLPower BISnowflake
Dear Job seekers if you are on the job market and willing to apply kindly share your resume to: [email protected]
Please find the job description below:
Data Engineer – Intuit
Location – Mountain View.
Duration – 6 Months + Possible extension
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
Please find the job description below:
Data Engineer – Intuit
Location – Mountain View.
Duration – 6 Months + Possible extension
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
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
