Data Analytics Engineer
Build and maintain scalable data pipelines, models, and BI dashboards that turn complex data into trusted metrics and insights. Partner with cross-functional teams to drive data-informed decisions at a Series C fintech serving small businesses. Requires 1-3 years experience, strong SQL, Python, and BI tool skills.
About the job
What You’ll Be Doing
- 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.
What We’re Searching For
- 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).
We Prefer If You Have
- 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
Skills
SQL, Python, dbt, Looker, Tableau, Sigma, Mode, Databricks, Snowflake, BigQuery, Airflow, Dagster, Git
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