About this role.
Affirm is hiring an Analytics Engineer II to operate and improve the finance data platform supporting Accounting reporting, reconciliations, and automation. The role centers on building and maintaining dbt models and Snowflake datasets, with strong ownership of testing, observability, lineage, documentation, and production incident resolution. The engineer will optimize pipeline performance and cost while partnering with engineering and finance stakeholders to deliver reliable data assets. Candidates need 3+ years of relevant analytics or data engineering experience, advanced SQL, dbt, cloud-warehouse experience, and familiarity with Git-based development practices. Finance data knowledge, Python, BI tooling, Fivetran or Workato, and CI quality gates are valuable additions.
Role DNA
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Job Complexity
4/5Pace & Pressure
4/5Autonomy Level
4/5Communication Load
4/5Salary analysis
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Core skills
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Sample interview questions
I would first define the business grain, source systems, accounting definitions, and expected consumers. I would build layered staging, intermediate, and mart models; apply source freshness checks, schema tests, unique and relationship tests, and reconciliations to control totals. I would document model logic and ownership, expose lineage, and use pull-request reviews plus CI to ensure changes are tested before release.
I would assess the report impact and timeframe, identify the first failed or changed upstream dependency, and compare row counts, balances, and key distributions against prior successful runs. I would communicate status and temporary mitigations to affected stakeholders, correct the underlying transformation or ingestion issue, backfill safely, and validate reconciliations. Finally, I would document the root cause and add preventive tests, alerts, or runbook steps.
I start with query history and warehouse usage to identify expensive models, inefficient joins, unnecessary full refreshes, and poor materialization choices. I use incremental strategies where appropriate, reduce scanned data through filtering and model design, select suitable warehouse sizing and auto-suspend settings, and review clustering only when workload evidence supports it. I also monitor the impact after deployment so cost reductions do not compromise data freshness or reliability.
I would agree on the reconciliation grain, such as account, entity, currency, and accounting period, then compare record counts and summed monetary amounts to authoritative source totals. I would investigate exceptions using stable transaction identifiers and a clear classification for missing, duplicated, late-arriving, or incorrectly mapped entries. The reconciliation would be automated, tested, retained for auditability, and escalated when variances exceed an agreed threshold.
I would make focused pull requests with clear descriptions, data-impact notes, and associated tests. CI should run dbt compilation, targeted builds, tests, linting, and any relevant quality gates before approval. For higher-risk changes, I would use environment-specific validation, coordinate release timing with stakeholders, monitor post-deployment runs, and maintain rollback or remediation procedures.
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.
Total rewards
We believe the people building honest financial products at Affirm should share in its success. That’s why our total rewards are designed to support your health, growth, financial well-being, and future.
In service of our mission, we reward employees through a combination of base pay, equity (from parent company), and comprehensive benefits.
Base Pay Grade – K
226,000 zł – 346,000 zł
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).
Base pay ranges and placement within those ranges are determined based on several factors, including role, experience, and job-related skills.
In addition to base pay, all employees in this role are eligible to receive equity from the parent company each year. This means as Affirm’s parent company grows, employees have the opportunity to share in that growth financially.
Equity Grade – 2 (awarded in US Dollars)
Affirm Holdings, Inc. Equity Grade example
Equity grade: 2
New hire equity: $16,000-$24,000
Annual Refresh: $5,000
Reward equity: $0-$75,000
Affirm also provides flexible spending wallets to all employees for technology and wellbeing related needs, which are reimbursable up to 1390 zł per month.
In addition to your compensation, our comprehensive benefits are designed to support you and the people who matter most. Benefits include:
- Competitive paid time off, paid public holidays, and additional paid Away Days to rest and recharge.
- Comprehensive private healthcare through Lux Med’s Platinum package.
- A MultiSport card to support your health and well-being.
- Learning and development programs to help you grow professionally.
- Family healthcare support through Maven and parental leave support through Parentaly.
- Mental well-being support through Lyra, including up to 12 confidential counseling or coaching sessions each year for you and your household members.
- Financial well-being support through Northstar, with unlimited access to Certified.
- Financial Advisors and planning tools at no cost to you.
- Employee Resource Groups (ERGs) that foster connection and inclusion.
- Eligibility for creative tax benefits, subject to applicable law, role, and company policy.
Location – Remote Poland
The majority of our roles can be located anywhere in Poland.
**This job description is not a contractual document, and is not intended to have binding force.**
#LI-Remote
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.
Benefits designed for you
Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights:
- 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.
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.
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