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Careers at Parafin
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Data Analytics Engineer

16 Feb 2024
San Francisco, CA, USA
Verified by Turrior

Content + Source + Freshness • 11 Dec 2025 • 95% confidence

80 / 100

Offer value

High value due to promising salary, vital role in data infrastructure, and potential for career advancement.

  • Salary range: $135,000–$155,000
  • Strategically important role in data analytics
  • Flexibility in work location and hours
Pros
  • Salary range from $135,000 to $155,000 is competitive in data roles
  • Key role in leveraging data for business insights
  • Opportunity to shape data strategies in an agile environment
Cons
  • Limited guidance due to small team size may require independence
  • Need for continual skills development in data technologies
  • Pressure to meet varying stakeholder demands

Who it's for

Mid-Level • Flexible/Remote

Good fit
  • Data analysts and engineers looking for impactful roles
  • Professionals seeking to work in innovative environments
  • Candidates motivated by data and business strategy
Not recommended for
  • Entry-level data professionals without relevant skills
  • Individuals preferring well-defined, rigid roles
  • Those uncomfortable with the fast-paced nature of startups

Motivation fit

Interest in manipulating and interpreting dataDesire to enhance business performance through analyticsEnthusiasm for working collaboratively with technical teams

Key skills

SQL proficiencyData visualizationStakeholder collaborationData pipeline developmentAnalytical thinking
Score: 80/100 AI verified analysis

About the job

About Us:

At Parafin, our mission is to grow small businesses. Small businesses are the backbone of our economy, yet banks do not have their back. Parafin is a technology company that builds infrastructure which enables small businesses to get easy access to financial services via platforms they sell on.

Parafin's first product offers capital-as-a-service for online platforms. Parafin currently powers the capital programs of platforms ranging from Series B to post-IPO companies such as DoorDash, Amazon, and Worldpay. We are a tight-knit team of engineers and designers, coming from organizations such as Stripe, Square, Plaid, Coinbase, Robinhood, Affirm, Uber, and CERN, and are excited both about helping hundreds of thousands of small businesses grow and thrive, and building products that leaders at top companies have started to use every day.

We are backed by prominent venture capitalists such as Ribbit Capital, Thrive Capital, GIC, Index Ventures, Green Oaks Capital, and SV Angel.

About the Position

We are looking for an Analytics Engineer to organize and activate Parafin’s ecosystem of data. You will be responsible for architecting business-critical datasets used across the company. You will drive alignment between teams by ensuring all of Parafin can be pointed to the same sources of truth.

What You’ll Be Doing:

  • You will foster a data-driven culture by ensuring everyone has easy access to trustworthy and complete data

  • You will interface between data engineering and end users to help improve our data tooling and development velocity

  • You will define and enforce our data best practices - data modeling, testing, version control, and cataloging

  • You will build efficient, modular, flexible, and reliable datasets that can unlock insight for stakeholders across the business — whether for analytic, machine learning, or operational purposes

  • You will identify gaps in how we collect data today, and work with engineering teams to ensure we are measuring the things that we need to measure about our customers and our product

What We’re Searching For:

  • 2+ years of experience

  • You collaborate well with data, engineering, product, and business functions

  • You care deeply about the quality and correctness of your work

  • You are comfortable managing competing and shifting priorities and can organize your own work to accomplish multiple tasks

  • You are excited about working on a small team and setting the foundations for how data is used at Parafin

  • You have two years of work experience in a similar role

  • You are deeply experienced with SQL, and are able to write efficient queries

  • You have a bachelor's degree in a technical discipline

We Prefer If You Have:

  • Experience building and maintaining data pipelines

  • Familiarity with “modern data stack” tools and technologies, such as Databricks, Airflow, DBT, and Reverse ETL

  • Experience working with both technical and non-technical stakeholders

  • Experience identifying and communicating data-derived insights

What We Offer

  • Salary Range: $135-$155k

  • 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.

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