Analytics Engineer II

Affirm's Financial Systems team 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.

• 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).

• 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.

• 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.

Base Pay Grade - K: 226,000 zł - 346,000 zł. Employees new to Affirm typically come in at the start of the pay range. In addition, all employees in this role are eligible to receive equity from the parent company each year. Equity Grade - 2 (awarded in US Dollars): 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. 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.

Remote Poland. The majority of our roles can be located anywhere in Poland. 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.

Apply via the Greenhouse job posting.