Staff Analytics Engineer - Remote

Overview

In 1989, Tim Berners-Lee envisioned a system to help CERN scientists share information more effectively. That vision became the World Wide Web – transforming how humanity connects and shares knowledge. Today, we're looking for someone who can architect the next evolution in how Mercury processes, understands, and acts on data.

We are looking for a Staff Analytics Engineer who can turn a universe of opportunities into impact. As the first Analytics Engineer to join our experienced, high-performing team of Data Engineers and Scientists, you will play a pivotal role during an exciting inflection point in our growth. Your innate curiosity and extensive experience will empower you to contribute across a diversity of initiatives both within and beyond the data domain, and you’ll do all this in collaboration with a team that will motivate and challenge you to deliver your absolute best. Come grow with us.

In Short

• Contribute to the evolution of Mercury’s data quality, governance, and security strategies.
• Drive adoption of new tools and methodologies to enhance data accessibility, discovery and documentation.
• Design and build scalable data pipelines and business-conformed data marts.
• Collaborate with cross-functional teams to understand business needs.
• Mentor team members and foster a culture of continuous learning.
• Support stakeholders to encourage data literacy in every department.
• Align on departmental priorities with Data Team leadership.
• 7+ years of Analytics or Data Engineering experience required.
• Expertise with a full modern data stack and SQL, dbt, Python.
• Experience with OLAP data modelling and architecture.

Requirements

• 7+ years of Analytics or Data Engineering experience.
• Expertise with a full modern data stack (Fivetran / Snowflake / dbt / Metabase / Hex or equivalents).
• Experience with OLAP data modelling and architecture.
• Experience with streaming / real-time data pipelines.
• Exposure to serving data for ML and Generative AI use cases.
• Experience in the financial services industry is a plus.
• Knowledge of data compliance standards (CCPA, GDPR).

Benefits

• Competitive base salary and equity (stock options).
• Comprehensive benefits package.
• Opportunities for professional growth and development.
• Collaborative and innovative work environment.
• Support for continuous learning and mentoring.