Parafin
Data Analytics Engineer
$180K–$220K
San Francisco, CA · Hybrid · Full-time · Posted Jul 16, 2026
- Experience
- 1–3 years in Analytics Engineering, Data Analytics, Business Intelligence, Data Engineering, or a similar role.
- Education
- Bachelor's degree in Computer Science, Statistics, Engineering, Mathematics, Economics, or a related quantitative field (or equivalent experience).
About the job
Build and maintain analytics data models, pipelines, and infrastructure that provide trusted datasets and business metrics for company decision-making.
What you'll do
- Build scalable data pipelines and use SQL to transform, validate, and optimize data.
- Develop dashboards, reports, and self-service analytics; monitor data quality and investigate discrepancies.
- Partner with business and technical teams to deliver data-driven solutions and improve analytics workflows.
What they ask for
- Strong SQL skills.
- Experience with relational databases and data warehouses.
- Experience with Python or another scripting language; familiarity with dbt or willingness to learn modern analytics engineering tools.
- Bachelor's degree in a related quantitative field (or equivalent experience).
Nice to have
- Knowledge of data modeling and analytics engineering best practices.
- Experience with cloud data platforms, Git, workflow orchestration, financial services data, or product analytics.
Pay
$180k - $220k (base salary)
Tools
SQL, Python, dbt, Looker, Tableau, Sigma, Mode, Databricks
AI focus
Use modern AI tools to accelerate development, improve productivity, and streamline analytics workflows.
Model-written summary · the original posting is authoritative