Staff Data Engineer, Corporate Engineering

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 126 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit Location: US remote-friendly Reddit has a flexible first workforce. At Reddit we continue to grow our teams with the best talent. We're completely remote friendly and will continue to be. Advertising is Reddit’s primary revenue driver and we have an ambitious goal to turn it into a massive business. Although several large digital ad platforms already exist, advertisers are being increasingly drawn to Reddit because of our passionate communities. We believe our community-centric platform has created the opportunity for Reddit to build a highly differentiated ads business. About the Corporate Engineering Team: The Corporate Engineering Team at Reddit leverages technology to maximize enterprise value, organizational alignment, and operational scale through robust corporate platforms, automated workflows, and seamless system integrations. We build the data and infrastructure foundations that enable Reddit to make sound, data-driven operational decisions and scale our global business securely. About the Role: Reddit’s Corporate Engineering Team is looking for a highly experienced Staff Data Engineer to advance the data architecture and ETL infrastructure powering our global corporate ecosystem. In this role, your primary focus will be modernizing the data foundations that power our financial systems, while simultaneously scaling data pipelines for broader enterprise and operational initiatives. You'll establish scalable, well-architected data infrastructure and evolve our existing corporate pipelines toward modern data engineering best practices. Responsibilities: Build & Modernize Core Data Infrastructure: Lead the evolution of our existing integrations toward a modern, orchestrated architecture. Design, build, and scale robust data pipelines into a cloud data warehouse, integrating data from our enterprise systems (ERP/EPM/Treasury/HR). Own the Data Architecture: Set the long-term technical direction for our financial data warehouse and analytics strategy. You'll evolve early pipelines into a scalable, well-modeled platform that serves Finance stakeholders. Ensure Institutional Data Integrity: Establish rigorous automated reconciliation logic, data quality frameworks, and monitoring within Workato/Tines to ensure all financial, billing, and tax data is 100% accurate, traceable, and SOX-compliant. Drive Engineering Excellence: Set a high technical bar for the team by introducing data engineering best practices in version control, CI/CD pipelines, error handling, and security standards for financial workflows. Partner Cross-Functionally: Collaborate deeply with Finance, Accounting, and Strategic Finance stakeholders, alongside Legal, HR, and other core business teams, to translate complex reporting, compliance, and enterprise operational requirements into robust, automated technical solutions across Reddit's broader Corporate Engineering ecosystem. Qualifications: AWS S3 Integration & Pipeline Infrastructure: Hands-on experience architecting ingestion patterns that land high-volume data from source systems/middleware into cloud storage, with specific expertise in optimizing data flows into AWS S3 to form a clean, structured staging layer or data lake landing zone. Modern Data Engineering Standards: Deep commitment to data engineering best practices, including designing highly idempotent and resilient pipelines, establishing data lineage, implementing schema validation/handling schema evolution, and building automated alerts for pipeline failures or data drift, with hands-on experience using modern orchestration tooling and a cloud data warehouse. 7+ years of experience engineering data integrations and pipelines across complex enterprise ecosystems—with a mandatory mastery of data standards, governance, and security, while hands-on experience with ERPs (e.g., NetSuite) or financial platforms (e.g., Coupa, Zip) and iPaaS tools (e.g., Workato) is a strong plus. Data Infrastructure & Modeling: Proven track record designing data pipelines and schemas for analytics and reporting on a cloud data warehouse, including maturing and scaling existing infrastructure. Public Company & SOX Compliance: Direct experience working in a public company environment, with a strong understanding of how to implement rigid data governance, pipeline observability, and automated reconciliation controls to support SOX compliance. Agile & Autonomous Execution: Experience operating within an Agile framework (Jira) to manage sprints and prioritize backlogs. Proven ability to act autonomously, wear multiple hats, and set the technical bar for a fast-growing financial systems function. Nice to Have: Financial Domain Expertise: Strong understanding of core financial business processes (e.g., Order-to-Cash, Procure-to-Pay, Record-to-Report) and a deep conceptual knowledge of how billing, revenue recognition, and month-end accounting data impact downstream financial reporting. NetSuite Schema & Data Extraction Mastery: Extensive experience navigating NetSuite’s underlying data models, core ledger schemas, and transaction histories. Proven track record of leveraging NetSuite extraction capabilities—specifically interfacing with SuiteTalk (REST/SOAP APIs) and custom segments—to pull clean, reliable raw financial data. Experience working within a modern cloud data platform and analytics ecosystem. Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is:

$180,200—$252,300 USD

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