Staff Data Engineer, Corporate Engineering

Jobgether·Lever
United StatesFull-time$180k–$252kPosted Jul 6, 2026
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This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Data Engineer, Corporate Engineering based in United States.

This is a high-impact senior engineering role focused on designing and evolving the core data infrastructure that powers enterprise and financial systems across a global organization. You will play a key role in modernizing data architecture, building scalable and reliable pipelines, and ensuring the integrity of critical business data used for financial reporting and operational decision-making. The role sits within a Corporate Engineering environment where data engineering is central to enabling automation, compliance, and cross-functional alignment at scale. You will work closely with Finance, Accounting, Legal, HR, and Strategic Finance teams to translate complex business needs into robust technical solutions. A strong emphasis is placed on data governance, SOX compliance, and building resilient systems that support high-trust financial operations. This is a highly technical, autonomous role where you will set engineering standards and shape long-term data strategy.

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Data Engineer, Corporate Engineering based in United States.

This is a high-impact senior engineering role focused on designing and evolving the core data infrastructure that powers enterprise and financial systems across a global organization. You will play a key role in modernizing data architecture, building scalable and reliable pipelines, and ensuring the integrity of critical business data used for financial reporting and operational decision-making. The role sits within a Corporate Engineering environment where data engineering is central to enabling automation, compliance, and cross-functional alignment at scale. You will work closely with Finance, Accounting, Legal, HR, and Strategic Finance teams to translate complex business needs into robust technical solutions. A strong emphasis is placed on data governance, SOX compliance, and building resilient systems that support high-trust financial operations. This is a highly technical, autonomous role where you will set engineering standards and shape long-term data strategy.

Accountabilities:

    • Design, build, and modernize scalable data pipelines and integrations across enterprise systems including ERP, EPM, treasury, HR, and financial platforms
    • Architect and evolve the core financial data warehouse, establishing long-term data modeling and analytics foundations
    • Implement robust data quality frameworks, automated reconciliation logic, and monitoring systems to ensure accuracy, traceability, and compliance
    • Develop and maintain highly reliable ETL/ELT pipelines using modern orchestration tools and cloud data warehouse technologies
    • Define and enforce data engineering best practices including version control, CI/CD, testing, schema management, and observability
    • Collaborate with Finance, Accounting, Legal, and other business stakeholders to translate reporting and compliance needs into scalable data solutions
    • Ensure SOX-compliant data workflows through strong governance, lineage tracking, and audit-ready infrastructure
    • Partner cross-functionally to improve enterprise data flows and support broader corporate engineering initiatives
    • Requirements:

      • 7+ years of experience in data engineering, building and maintaining complex data pipelines in enterprise environments
      • Strong expertise in cloud data platforms and AWS infrastructure, particularly S3-based ingestion and data lake architecture
      • Deep understanding of modern data engineering practices including idempotent pipeline design, schema evolution, lineage, and observability
      • Proven experience working with ERP systems (e.g., NetSuite), financial platforms (e.g., Coupa, Zip), and iPaaS tools such as Workato
      • Strong background in data modeling for analytics, reporting, and enterprise-scale data warehousing
      • Experience working in public company environments with strict SOX compliance and governance requirements
      • Ability to operate autonomously in Agile environments, managing priorities, sprints, and technical roadmaps
      • Strong analytical and problem-solving skills with high attention to data accuracy and system reliability
      • Nice to have: familiarity with Order-to-Cash, Procure-to-Pay, and Record-to-Report financial processes, and NetSuite schema and APIs
      • Benefits:

        • Competitive annual base salary ranging from $180,200 to $252,300 USD
        • Equity opportunities in the form of restricted stock units and potential additional incentives depending on role level
        • Comprehensive healthcare coverage including medical, dental, and vision insurance
        • 401(k) retirement plan with employer match
        • Flexible vacation policy and paid volunteer time off
        • Generous paid parental leave and family planning support
        • Mental health, wellness, and coaching benefits
        • Gender-affirming care and inclusive healthcare coverage options
        • Remote-friendly work environment within the United States
        • Access to global employee support programs including professional development and caregiving resources
How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1

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