Analytics Engineer: Data Pipelines & AI Insights (Remote)

parafin; San Francisco (CA); Remote; USD 180,000 - 220,000; Full time

Benefits offered by this job

Equity grant

Medical, dental & vision insurance

Unlimited PTO

Work from home flexibility

Commuter benefits

Free lunches

Paid parental leave

401(k)

Employee assistance program

Job summary

Parafin is seeking a Data Analytics Engineer to build scalable data pipelines and analytics infrastructure, enabling cross-functional decision-making. You will transform raw data into trusted metrics and collaborate with Product, Engineering, Finance, Risk, and Operations to deliver data-driven solutions.

You'll leverage AI tools to accelerate development, improve productivity, and create self-service analytics. Strong SQL, data modeling, and BI dashboard experience are essential for this role.

Qualifications

• 1–3 years of experience in Analytics Engineering, Data Analytics, BI, Data Engineering, or a similar role.
• Strong SQL skills.
• Experience 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 CS, Statistics, Engineering, Mathematics, Economics, or a related quantitative field (or equivalent experience).

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.
• 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.

Skills

SQL

Relational databases

Python

dbt

BI dashboards

Data modeling

Analytical skills

Communication

Education

Bachelor's degree in CS/Statistics/Engineering/Mathematics/Economics or related field

Tools

Databricks

Snowflake

BigQuery

Git

Airflow/Dagster

Job description

Parafin is seeking a Data Analytics Engineer to build scalable data pipelines and analytics infrastructure, enabling cross-functional decision-making. You will transform raw data into trusted metrics and collaborate with Product, Engineering, Finance, Risk, and Operations to deliver data-driven solutions.

You'll leverage AI tools to accelerate development, improve productivity, and create self-service analytics. Strong SQL, data modeling, and BI dashboard experience are essential for this role.