Senior / Data Engineer

Overview

Full Time

Skills

Artificial Intelligence
Workflow
Business Intelligence
Analytics
Business Software
Data Management
Sprint
Quality Assurance
Testing
Business-IT Alignment
Data Quality
Roadmaps
Requirements Elicitation
Agile
Product Development
Computer Science
Information Systems
Systems Design
Database
Warehouse
Modeling
Cloud Computing
Data Modeling
Extract
Transform
Load
ELT
Data Warehouse
Apache Airflow
SQL
Python
IaaS
Amazon Web Services
Microsoft Azure
Google Cloud Platform
Google Cloud
Data Governance
Communication
Attention To Detail
Customer Service
Conflict Resolution
Problem Solving
Management
Organizational Skills
Innovation
Snow Flake Schema

Job Details

Build the future of the AI Data Cloud. Join the Snowflake team.

What you will be doing:

Data Infrastructure & Pipeline Development
  • Design, build, and launch production-ready data models and data pipelines that scale effectively
  • Implement enterprise-grade data governance frameworks and maintain data quality standards
  • Develop and optimize data ingestion processes from various enterprise needs
  • Create efficient data transformation workflows to prepare data for business intelligence and analytics
  • Partner with data scientists, product managers, and business stakeholders to understand and address data requirements
  • Work closely with business application owners to ensure seamless automation and data management processes
  • Participate actively in Agile ceremonies including daily standups, sprint planning, sprint reviews, and retrospectives
  • Build strong relationships with stakeholders at all levels, from executive to operational teams
  • Lead quality assurance efforts by defining testing strategies and identifying potential risks
  • Ensure timely identification, tracking, and resolution of technical issues
Product & Business Alignment
  • Build deep data expertise and take ownership of data quality for assigned business domains
  • Align development efforts with the product roadmap when building tools and solutions
  • Mature requirements gathering processes and follow Agile methodologies for data product development
  • Proactively adapt to changing business requirements while maintaining solution integrity

What we need to see:

Education & Experience
  • Bachelor's degree in Computer Science, Information Systems, or related field (preferably with emphasis on system design and database warehousing/modeling), or equivalent experience
  • 3-10 years of direct experience developing and managing data pipelines for ingestion and transformation
  • Demonstrated expertise with modern cloud data infrastructure and data modeling techniques
Technical Skills
  • Required: Experience with data pipeline development, ETL/ELT processes, and data warehousing concepts
  • Preferred: Knowledge of Snowflake, Apache Airflow, and dbt (data build tool)
  • Desired: Experience with SQL, Python, and cloud infrastructure (AWS, Azure, or Google Cloud Platform)
  • Understanding of data governance principles and best practices
Professional Skills
  • Excellent written and verbal communication skills to effectively convey technical concepts
  • Strong attention to detail and results-oriented mindset
  • Ability to adapt quickly to changing requirements and priorities
  • Commitment to exceptional customer service and quality deliverables
  • Collaborative approach to problem-solving with cross-functional teams
  • Self-motivated with the ability to work independently and as part of a team
  • Effective time management and organizational skills

Snowflake is growing fast, and we're scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.

How do you want to make your impact?

For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
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