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As a Data Engineer for the Product Innovation Team, you will play a key role in designing, building, and optimizing scalable data pipelines and cloud-based data architectures that power data-driven products and insights. Working at the intersection of product and engineering, you will collaborate with senior data engineers, technical product managers, data scientists, analysts, and business stakeholders to deliver high-performance data solutions. In this role, you will build and maintain data pipelines, while supporting modern data lake and data warehouse architectures. You will also help manage data workflows across multi cloud environments such as Snowflake and ADLS. You will write efficient Python and SQL code for data transformation and automation, monitor and optimize pipeline performance, and support data modeling, schema design, and documentation efforts. The ideal candidate is passionate about scalable data infrastructure and committed to ensuring data quality, security, governance, and privacy compliance across cloud platforms.
Job Responsibility
Build and maintain scalable data pipelines using Snowflake and Azure services
Support development of data architectures including data lakes and data warehouses on Azure
Integrate and manage data workflows across multi-cloud environments for client solutions
Monitor, troubleshoot, and optimize data pipelines using system engineering best practices
Write clean, efficient code in Python and SQL for data transformation and automation
Collaborate with data analysts, scientists, and engineering teams to ensure high-quality, accessible data
Assist in data modeling, schema design, and documentation of data systems
Ensure adherence to data security, governance, and compliance standards across cloud platforms
Requirements
Bachelor's Degree plus 2 years of related work experience OR combination of education and experience deemed equivalent. Acceptable areas of study include Computer Science, Statistics, Informatics, Information Systems or another quantitative field, or equivalent experience (Required)
2-4 years Data Engineering (Required)
1+ year Exposure to Azure (ADLS and Snowflake (Preferred)
1+ years Experience with big data tools (Spark, Hadoop, etc. (Preferred)
1+ years Experience Familiarity with CI/CD pipelines and DevOps practices (Preferred)
Cloud Computing (Required)
Collaboration (Required)
Data Modeling (Required)
Snowflake (Platform) (Required)
At least 18 years of age
Legally authorized to work in the United States
Nice to have
Exposure to Azure (ADLS and Snowflake)
Experience with big data tools (Spark, Hadoop, etc.)
Familiarity with CI/CD pipelines and DevOps practices