Data Analytics Engineer

About the role

We are looking for a Data Analytics Engineer to build and scale the data models, pipelines, and analytics infrastructure that power decision-making across Parafin. You'll design reliable datasets, transform raw data into trusted business metrics, and partner closely with Product, Engineering, Finance, Risk, and Operations.

Responsibilities

• Build and maintain scalable data pipelines that power analytics data models and trusted datasets.
• Write efficient SQL to transform, validate, and optimize data for analytics and reporting.
• Leverage AI tools to accelerate development, improve productivity, and streamline analytics workflows.
• Develop and maintain dashboards, reports, and self-service analytics for business stakeholders.
• Partner with Product, Engineering, Finance, Risk, and Operations to understand data needs and deliver data-driven solutions.
• Maintain data quality, investigate discrepancies, and improve the reliability of our data.
• Contribute to the continuous improvement of Parafin's analytics infrastructure and analytics engineering practices.

Requirements

• 1-3 years of experience in Analytics Engineering, Data Analytics, Business Intelligence, Data Engineering, or a similar role.
• Strong SQL skills.
• Experience working with relational databases and data warehouses.
• Experience with Python or another scripting language.
• Familiarity with dbt or a desire to learn modern analytics engineering tools.
• Experience building dashboards in Looker, Tableau, Sigma, Mode, or similar BI tools.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration skills.
• Bachelor's degree in Computer Science, Statistics, Engineering, Mathematics, Economics, or a related quantitative field (or equivalent experience).

Preferred

• Knowledge of data modeling and analytics engineering best practices.
• Experience with Databricks, Snowflake, BigQuery, or other cloud data platforms.
• Experience with Git and version control.
• Familiarity with Airflow, Dagster, or other workflow orchestration tools.
• Experience working with financial services, lending, payments, or product analytics data.
• Experience in a startup or other fast-paced, high-growth environment.

What We Offer

• Salary Range: $180k - $220k
• Equity grant
• Medical, dental & vision insurance
• Unlimited PTO
• Work from home flexibility
• Commuter benefits
• Free lunches
• Paid parental leave
• 401(k)
• Employee assistance program