Senior Analytics Engineer: Build Scalable Data Platforms

Mercury; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Mercury is hiring a Senior Analytics Engineer to accelerate our data foundation. You’ll build scalable data pipelines and dimensional data marts, collaborating with Data Scientists, Product, Engineering, and Operations.

You’ll advance agentic tooling and self-service analytics while shaping governance, quality, and security across analytics products. You’ll work with a modern stack including Fivetran, Airflow, Snowflake, dbt, Omni, and Hex, applying SQL and Python to deliver scalable,

Qualifications

• 4+ years of Analytics or Data Engineering experience.
• Experience with a modern data stack including Fivetran, Airflow, Snowflake, dbt, Omni, Hex or equivalents.
• Proficient in SQL and Python.
• Experience using AI agents to accelerate work.
• Experience with dimensional data modeling for scale.
• Treat data products as a platform with reusable, scalable deliverables.
• Deliver readable code with strong tests and documentation.

Responsibilities

• Design and build scalable data pipelines and dimensional data marts with cross-functional teams.
• Support development and adoption of agentic tooling (Hermes and Ralph).
• Support self-service analytics workflows and Analytics Engineering practices.
• Help define data and analytics products needed to meet regulatory or charter requirements.
• Contribute to data quality, governance, and security strategies.
• Contribute to Analytics Engineering standards and best practices.

Skills

SQL

Python

AI agents

Dimensional modeling

Data engineering

Data products

Code quality

Tools

Fivetran

Airflow

Snowflake

dbt

Omni

Hex

Job description

Mercury is hiring a Senior Analytics Engineer to accelerate our data foundation. You’ll build scalable data pipelines and dimensional data marts, collaborating with Data Scientists, Product, Engineering, and Operations.

You’ll advance agentic tooling and self-service analytics while shaping governance, quality, and security across analytics products. You’ll work with a modern stack including Fivetran, Airflow, Snowflake, dbt, Omni, and Hex, applying SQL and Python to deliver scalable,