Analyst II, Full Stack
Join Affirm as an Analyst II, Full Stack, focusing on optimizing finance data platforms in a remote-first environment.
Posted by employer 1 day ago
First seen on Joblaze 2 hours ago
Last verified on the company career page 2 hours ago
What you'll build
- Build and maintain dbt models
- Improve platform reliability
- Own and document data pipelines
- Identify and resolve production data issues
- Optimize performance and cost in Snowflake
Must have
- 3+ years of experience in analytics engineering
- Strong SQL skills
- Hands-on experience building in dbt
- Experience with cloud data warehouses
Nice to have
- Finance/accounting data familiarity
- Experience with integration/automation platforms
- Experience supporting reporting layers
- Working knowledge of Python
- Familiarity with CI pipelines
Practical constraints
- Must be based in Spain for the role
Requirements
- Experience
- 3+ years
- Visa
- Sponsorship available
Benefits
Joblaze summary
In this role, the Analyst II will focus on maintaining and optimizing Affirm's finance data platform, ensuring the reliability and performance of data pipelines that support accounting and automation. Key skills include strong SQL proficiency and experience with dbt and Snowflake, as well as familiarity with modern development workflows like Git. This position is suited for candidates with over three years of experience in analytics or data engineering, particularly those comfortable in fast-paced environments. The team emphasizes operational ownership and collaboration with engineering and business stakeholders.
Joblaze insights
- Listed today — first seen on Joblaze October 3, 2026. Last confirmed on Affirm's careers page October 3, 2026.
- Starts above 4% of 50 comparable mid data engineering roles we track (median $125,000 across 29 companies).
Quick facts
- Is the Analyst II, Full Stack role remote?
- Yes — Affirm lists this as a fully remote position.
- What's the salary range?
- Affirm lists €63,000–€99,000 for this role.
- How much experience is required?
- At least 3 years of relevant experience for this Analyst II, Full Stack role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Git, Python, SQL, Snowflake, dbt.
- Does Affirm sponsor work visas for this role?
- Yes — the posting indicates visa sponsorship is available for the right candidate.
- What seniority level is this role?
- Affirm targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Analyst II, Full Stack role at Affirm.
From the original posting
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
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
We are able to offer visa sponsorship for this role, but do require that someone is based in Spain for the role.
Location - Remote Spain
Remote-first with flexibility built in
Affirm is proud to be a remote-first company. 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.
By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.
Standard company text repeated across Affirm's postings is omitted here.