Data Engineer II

Payscale

Payscale is committed to revolutionizing compensation management by providing cutting-edge data and technology solutions. As a leader in the industry, the company empowers employees and organizations to make informed pay decisions, supporting fair and sustainable compensation practices worldwide. This role in the Data Engineering Team is essential for enhancing Payscale’s data capabilities, enabling fast and reliable data access.

In this role you can expect to have the responsibilities:

• Manage and optimize the data warehouse.
• Develop and maintain data pipelines.
• Collaborate with platform, architectural, and product development teams to design architectural solutions.
• Assist various teams like Data Science and Sales to fulfill their data access needs.
• Promote best practices in data utilization and modeling.
• Research modern data engineering techniques and advise stakeholders.
• Build tools for data management and monitoring.
• Recommend and implement tools for data needs.
• Ensure data hygiene and conduct cost analysis.

This role comes with the following benefits:

• Inclusive environment with learning and growth opportunities.
• Flexible paid time off and company holidays.
• Comprehensive health benefits plans.
• 401(k) retirement plan with company match.
• Paid parental leave and health savings account options.
• Annual remote work stipend.

This role requires you to have:

• Bachelor's or Master's in Computer Science or related field.
• 2+ years' experience in data warehousing and engineering.
• Proficient in Python and SQL.
• Experience with Snowflake or similar platforms.

You would benefit from having:

• API design and deployment in cloud environments.
• Hands-on with Snowflake for data analysis.
• Proficiency in machine learning and model deployment.
• Experience with Large Language Models like GPT or BERT.

Payscale is an equal opportunity employer, dedicated to non-discrimination and diversity in its employment practices. Security and privacy are prioritized during the application process.