Data Engineer

Role Overview

We’re looking for a modern Data Engineer who thrives at the intersection of data, cloud, and AI. You’ll architect and own our data infrastructure end-to-end, designing pipelines, optimizing data warehouses, and leveraging AI-assisted tooling.

What You Will Do

You’ll support data acquisition and preparation processes, create data integration scripts, and execute analytical queries to transform and utilize data for business insights.

Why It Might Be a Fit

You’ll identify ways to improve data reliability, efficiency, and quality, and prepare data for predictive and prescriptive modeling. You’ll also support machine learning operations (MLOps) and enable searching, data visualization, and advanced analytics.

Requirements

• At least four years’ experience
• Ability to read, analyze, and interpret general business periodicals, professional journals, technical procedures, or governmental regulations
• Ability to write reports, business correspondence, and procedure manuals
• Ability to effectively present information and respond to questions from groups of managers, clients, customers, and the general public
• Problem-solving, teamwork, and effective communication with both technical and non-technical audiences
• Knowledge of various ETL techniques and frameworks
• Strong background with data modeling, data access, and data storage techniques
• Proficiency in Application Development code like Python, C#, R or Java
• Strong background to manage the entire back-end development life cycle of a data warehouse
• Proficiency understanding of Data Store technologies like Relational Databases and NoSQL but not limited to those
• Knowledge of cloud infrastructure and services like Azure, AWS, or GCP
• Experience with integration of data from multiple data sources
• Being able to set up and manage ETL tools and pipelines that support these projects
• Proficiency understanding of distributed computing principles
• Proficiency in BI and data visualization tools including Tableau and Power BI
• Experience with Amazon Redshift and cloud data warehouse technologies
• Experience with Snowflake, including Snowflake Cortex for AI-powered analytics and data processing
• Experience applying AI tools and agentic development practices to data engineering workflows

Benefits

• Comprehensive extended health benefits package
• Paid time off for volunteering and making a positive impact in your community
• Complimentary lunches
• Ongoing Professional Development opportunities
• Delectable, complimentary lunches
• Exciting team events in-office

Tagged as: Data Visualization, Pipeline Management, Power BI, Python, Snowflake