Analyst II, Full Stack

Engg; United States; Remote; USD 71,000 - 112,000; Full time

Benefits offered by this job

Health insurance

Equity rewards

ESPP

Learning & Development

Parental benefits

Flexible stipends

Job summary

affirm is hiring an Analytics Engineer to maintain and optimize our finance data platform, focusing on reliability, performance, and scalable datasets for accounting and reporting.

You will own data pipelines, build dbt models, and work with Snowflake in a remote Spain setup, contributing to cost-saving improvements and robust data assets for the business.

Qualifications

• 3+ years of experience in analytics engineering, data engineering, or similar roles.
• Strong SQL skills and dbt experience (modeling, testing, documentation).
• Experience with Git-based collaboration (GitHub).
• Familiarity with cloud data warehouses (Snowflake).
• Ownership mindset and comfort in fast-moving environments.

Responsibilities

• Build and maintain dbt models and core datasets for Accounting reporting and automation.
• Improve platform reliability with tests, alerts, and runbooks.
• Own data pipelines and lineage, ensuring auditability.
• Troubleshoot production data issues and implement root-cause fixes.
• Optimize Snowflake and dbt performance and costs.
• Collaborate with engineers and business stakeholders to translate requirements into durable data assets.

Skills

SQL

dbt

Snowflake

GitHub

Python

Tools

dbt

Snowflake

GitHub

Job description

At affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. Financial Systems owns the data and reporting foundation for Accounting, and the operational reliability of the pipelines that power reporting, reconciliations, and automation. We are building a single source of truth for financial information using dbt and Snowflake to enable scalable BI and process automation across the org. We are hiring an Analytics Engineer focused on maintaining and optimizing our finance data platform , improving reliability, efficiency, and performance of our pipelines and core datasets. This role is ideal for someone who enjoys operational ownership, building strong foundations, and making data systems easier and safer to run at scale.

What You’ll Do

• Build and maintain dbt models and core datasets that support Accounting reporting and downstream automation use cases.
• Improve platform reliability through strong testing patterns, alerting, and runbooks.
• Own and document data pipelines and lineage, ensuring changes are understandable and auditable.
• Identify, troubleshoot, and resolve production data issues, and drive root‑cause fixes.
• Optimize performance and cost in Snowflake and dbt to support scaling needs.
• Partner with engineering and business stakeholders to translate requirements into durable, well‑tested data assets.
• Contribute to the team’s best practices in version control, code review, documentation, and release hygiene (GitHub‑based workflows).

What We Look For

• 3+ years of experience in analytics engineering, data engineering, or similar roles working with production data systems.
• Strong SQL skills and hands‑on experience building in dbt (modeling, testing, documentation).
• Experience operating in a modern development workflow: Git and pull‑request based collaboration (GitHub preferred).
• Familiarity with standard IDEs and collaborative debugging practices.
• Experience working with cloud data warehouses (Snowflake preferred).
• A strong sense of ownership and comfort working in ambiguous, fast‑moving environments.
• Nice to Have Finance/accounting data familiarity (e.g., close concepts, reconciliations, ledger‑style modeling).
• Experience with integration/automation platforms (Workato, Fivetran, or similar).
• Experience supporting reporting layers and BI tooling.
• Working knowledge of Python for data manipulation and automation.
• Familiarity with CI pipelines and quality gates for code quality, testing, and build validation.
• Interest in applying AI‑assisted development responsibly within engineering guardrails.

Compensation & Benefits

Base Pay Grade - K

Equity Grade - 3

Employees new to affirm typically come in at the start of the pay range. affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job‑related skills. Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by affirm holdings, inc. (parent company).

ESP base pay range per year: €63,000 - €99,000

Additional benefits include:

• Flexible Spending Wallets for tech, food and lifestyle
• Away Days - wellness days to take off work and recharge
• Learning & Development programs
• Parental benefits
• Employee Resource & Community Groups

Benefits designed for you

• Health coverage at no cost: We cover 100% of premiums for employees and their dependents.
• Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you.
• Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to.
• Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy affirm stock at a discount.

We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: affirm considers qualified applicants with arrest and conviction records, as required by law.

Location - Remote Spain

Remote first with flexibility built in. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in‑person work at an affirm office, and a few are office‑based due to the nature of the work. All new hires will be invited to attend an in‑person onboarding experience. We are able to offer visa sponsorship for this role, but do require that someone is based in Spain for the role.