The ad says“Knowledge of data modeling and analytics engineering best practices”
The ad says“Experience with Git and version control”
The ad says“Experience with Python or another scripting language”
The ad says“Strong SQL skills”
Values
The ad says“Familiarity with Airflow, Dagster, or other workflow orchestration tools”
The ad says“Experience with Databricks, Snowflake, BigQuery, or other cloud data platforms”
The ad says“Familiarity with Airflow, Dagster, or other workflow orchestration tools”
The ad says“Experience with Databricks, Snowflake, BigQuery, or other cloud data platforms”
The ad says“Familiarity with dbt or a desire to learn modern analytics engineering tools”
The ad says“Experience building dashboards in Looker, Tableau, Sigma, Mode, or similar BI tools”
The ad says“Experience building dashboards in Looker, Tableau, Sigma, Mode, or similar BI tools”
The ad says“Experience building dashboards in Looker, Tableau, Sigma, Mode, or similar BI tools”
The ad says“Experience with Databricks, Snowflake, BigQuery, or other cloud data platforms”
The ad says“Experience building dashboards in Looker, Tableau, Sigma, Mode, or similar BI tools”
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
You’ll also leverage modern AI tools to accelerate development and help build scalable, efficient analytics workflows. Your work will enable teams across the company to make better decisions and help us build products that expand access to financial services for small businesses
Are you a curious, analytical, and collaborative individual with a passion for turning large, complex datasets into actionable insights? If so, come join us!
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
Monitor 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
Benefits
Health, dental, & vision
401k plan
Parental leave
Unlimited PTO
Commuter benefits
Free in-office lunches
Mental health & well-being
Special recognition
Preferred experience
Familiarity with dbt or a desire to learn modern analytics engineering tools
Experience with Python or another scripting language
Strong analytical and problem-solving skills
Strong SQL skills
Excellent communication and collaboration skills
Experience working with relational databases and data warehouses
Bachelor’s degree in Computer Science, Statistics, Engineering, Mathematics, Economics, or a related quantitative field (or equivalent experience)
1–3 years of experience in Analytics Engineering, Data Analytics, Business Intelligence, Data Engineering, or a similar role
Experience building dashboards in Looker, Tableau, Sigma, Mode, or similar BI tools
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
