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Data is at the heart of every decision made at Klaviyo, and we’re looking for a Business Intelligence Data Engineer to join our Go To Market (GTM) team supporting Compensation Analytics. This domain of data aims to improve the experience of all Klaviyos variable compensation plans. Secondary to this, the role will support ancillary functions of the Professional Services organization. This role sits in Data Engineering as part of the GTM team, which is part of a hub and spoke model of analytics engineering at Klaviyo.
You’ll build and steward the source of truth for Compensation data so People leaders and analysts can answer compensation questions quickly and confidently and turn those insights into a more incentivized, higher-performing organization. You will directly support the compensation analytics teams at Klaviyo, working cross functionally with Systems, Payroll, Audits, Planning, and People Operations.
You will be an independent self-serving, embedded partner to all of GTM leadership where variable compensation plans exist, capable of translating ambiguous requirements into stable data products. You’ll be supported by the broader Data Engineering organization’s standards, tooling, and review practices..
How you’ll make a difference- Deliver compensation‑data SSoT that drives better employee experience, is SOX compliant, and entirely auditable by both internal and 3rd party organizations. Maintain and sStand up curated, documented marts that make it easy to monitor attainment health, quota setting, audits, and cycles so that leadership can minimize time in front of compensation boards to focus on their organizations.
- Own the pipelines & models end‑to‑end. Build and maintain reliable integrations from core compensation systems (e.g., SPM/ICM/CRM), model them in dbt, and publish governed marts and reverse‑ETLs to operational destinations where they create value.
- Create attainment views with Compensation and People Analytics. Partner with analysts to build quota→BoB management→attainment→submission→booking lifecycle views of quarterly compensation. Focusing on quicker cadences to booking and dynamic reconciliation processes
- Raise the bar on data reliability and governance. Instrument monitoring and alerting, tests (freshness/volume/constraints), and documentation so the compensation data ecosystem is discoverable, auditable, and self-serve.
- Operate as a trusted partner to leadership. Work directly with Operations and Compensation leadership to scope problems, clarify trade‑offs, and communicate technical concepts in exec‑ready language.
- Transform workflows by putting AI at the center, building smarter systems and ways of working from the ground up.
- Integrations & ingestion: Own secure ingestion from HRIS/ATS/comp/performance systems into Snowflake; define SLAs/SLOs; implement monitoring & alerting for each feed.
- Modeling & marts: Design dimensional/entity models (dbt) for employees, positions, org structure, requisitions/offers, performance/promo history, compensation/equity, and movement; publish curated marts with strong contracts and lineage.
- Reverse ETL: Operationalize high‑value models to downstream tools and workflows using reverse‑ETL patterns to close the loop between insight and action.
- Quality & governance: Implement tests (unit/integration, schema/freshness), multi-layered validation frameworks that routinely validate data integrity, data policies (masking, purpose‑based access), and documentation that enable safe self‑service across the analytics community.
- Repository stewardship: Maintain the analytics codebase (dbt repo), perform code reviews, and ensure modular, reusable patterns the broader team can adopt.
- Stakeholder partnership: Run an intake & engagement model with Compensation Analytics (primary), HRIS/People Tech (security/integration), Finance (plan/comp interfaces), and BI/Platform teams (shared standards).
- 3–5+ years in analytics/data engineering with production ELT in Snowflake + dbt + SQL; Python for orchestration/utilities.
- Demonstrated independence partnering with senior, non‑technical leaders; able to translate open‑ended needs into scalable data products.
- Proven experience implementing tests, monitoring, and documentation that keep pipelines healthy and reporting trustworthy.
- Experience building data integrations and reverse‑ETL pipelines that support business operations.
- Airflow (orchestration) and Fivetran/Workato (ELT/integration).
- Familiarity with data privacy controls (masking/RLS) in people data.
- AWS experience (S3/EC2/Lambda) and IaC/Terraform.
- You’ve already experimented with AI in work or personal projects, and you’re excited to dive in and learn fast. You’re hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient.
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Massachusetts Applicants:
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant’s job-related skills, relevant experience, education or training, and work location.
In addition to base salary, our total compensation package may include participation in the company’s annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility.
Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process.
Get to Know Klaviyo
We’re Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we’re developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you’re ready to do the best work of your career, where you’ll be welcomed as your whole self from day one and supported with generous benefits, we hope you’ll join us.
AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed.
By participating in Klaviyo’s interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice.
Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.
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