Pay
Higher than most similar jobs
$180K–$220K against $122K–$190K, the middle half of what similar US postings state.
From 333 postings in the last year. Stated ranges, not salaries paid.
Data Analytics Engineer
San Francisco, CA · San Francisco, California, USA
Open 3 months, first seen by us 118 days ago- Pay
$180,000–220,000/yearAnnual period assumed — pay source
What We Offer Salary Range: $180k - $220k Equity grant
Read the full posting- Work setting
Hybrid — work setting source
Location type: Hybrid
From the employer’s posting- Employment
Full-time — employment source
Employment type: Full-time
From the employer’s posting- Team
Data Science — team source
Department: Data Science
From the employer’s posting
Before you apply
- Employer’s visa record
- 5 H-1B petitions approved in fiscal 2024 and 2025For the employer as a whole. This posting doesn’t say whether the role is sponsored. US Citizenship and Immigration Services.
- Sponsorship
Visa sponsorship not confirmed — sponsorship source
Will you now or in the future require sponsorship for employment visa status (e.g., H-1B visa status)?
From the employer’s application form
What you’ll work on
Full postingBuild and maintain scalable data pipelines and trusted analytics datasets
Write efficient SQL to transform, validate and optimize data
Develop and maintain dashboards, reports and self-service analytics
Partner with Product, Engineering, Finance, Risk and Operations on data needs
Monitor data quality and investigate discrepancies
From the employer’s posting
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.
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.
What you’ll bring
All qualificationsCore experience
- 1–3 years in analytics engineering, data analytics, BI or data engineering
- Strong SQL skills
- Experience with relational databases and data warehouses
- Experience with Python or another scripting language
- Experience building dashboards in Looker, Tableau, Sigma, Mode or similar
Qualification wording
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.
Experience building dashboards in Looker, Tableau, Sigma, Mode, or similar BI tools.
Education & alternatives
- 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:
About Parafin
We build tech that makes it simple for small businesses to access the financial tools they need through the platforms they already sell on.
In the employer’s words · Read in context · Company website ↗
Posting record
Report an errorOpen 3 monthsWe first saw this posting 118 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jul 18, 2026118 days ago
- Recorded sightings
- 89
- Last seen by us
- Nov 13, 2026
- Employer says posted
- Jul 16, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 118
Up longer than most. Similar jobs usually come down between day 7 and day 51.
At Parafin, jobs usually come down by about day 136.
From 1,661 similar postings that came down, and 5 of Parafin’s. Coming down is not always a hire.
Parafin is hiring
1 open job
- Its jobs tend to stay up a long time
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- BigQuery
- Databricks
- dbt
- Looker
- Sigma
- Snowflake
- Tableau
- Airflow
- Dagster
Where the posting names them
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
Your next step
Complete your application on jobs.ashbyhq.com. The employer’s form will show what is required.
Applying through Ashby
- No account needed. “Autofill from resume” at the top of the form fills the key fields from your file.
Already applied? Track this application
Demand for Analytics Engineer roles
New Analytics Engineer postings at the employers we follow are down 14% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Analytics Engineer, by the work the posting describes.
Analytics engineers turn raw warehouse data into clean, tested and documented tables that analysts and dashboards can rely on, often with dbt.
Expect strong SQL, data modeling, Git, and a warehouse such as Snowflake, BigQuery or Redshift.
A data engineer gets data into the warehouse; an analytics engineer shapes it once it is there and works closer to the analysts who use it.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for analytics engineers, so these figures are for the closest group, database architects, the same group we use for data engineers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
About Us:
At Parafin, we’re on a mission to grow small businesses.
Small businesses are the backbone of our economy, but traditional banks often don’t have their backs. We build tech that makes it simple for small businesses to access the financial tools they need through the platforms they already sell on.
We partner with companies like DoorDash, Amazon, Worldpay, and Mindbody to offer fast and flexible funding, spend management, and savings tools to their small business users via a simple integration. Parafin takes on all the complexity of capital markets, underwriting, servicing, compliance, and customer service for our partners.
We’re a tight-knit team of innovators hailing from Stripe, Square, Plaid, Coinbase, Robinhood, CERN, and more — all united by a passion for building tools that help small businesses succeed. Parafin is backed by prominent venture capitalists including GIC, Notable Capital, Redpoint Ventures, Ribbit Capital, and Thrive Capital. Parafin is a Series C company, and we have raised more than $194M in equity and $340M in debt facilities.
Join us in creating a future where every small business has the financial tools they need.
About the Position
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!
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
If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please contact us.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
What We Offer Salary Range: $180k - $220k Equity grant
- Location & working pattern
San Francisco, California, USA
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.