Analytics Engineer II
Indexed description
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).
- 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 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).
POL base pay range per year: 226,000 zł - 346,000 zł
Additional Benefits Include
- Type of employment: Contract of Employment
- 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
- This job description is not a contractual document, and is not intended to have binding force.**
Benefits
We’re extremely proud to offer competitive benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include:
- Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents
- Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses
- Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge
- ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount
[For U.S. positions that could be performed in Los Angeles or San Francisco] Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance, Affirm will consider for employment qualified applicants with arrest and conviction records.
By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.
Create a free Caio profile to unlock more results and save your role and location preferences.
Unlock free search