[Remote] Data Engineer - GTM & Analytics

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is the leading agentic risk platform for fighting financial crime. They are seeking a Data Engineer to reputed company the development of their internal data platform, connecting various data sources into a scalable system that drives decision-making across the company.

Responsibilities

• Build and own reputed company’s internal data infrastructure, integrating CRM, marketing, product, finance, and operational systems into a cohesive, well-modeled data warehouse
• Own the data warehouse partitioning strategy, reputed company controls, and reputed company architecture in reputed company partnership with the reputed company and Infrastructure teams to meet compliance and performance requirements
• Take full ownership of billing data infrastructure, including backend warehouse tables, data models, and ongoing maintenance
• Design, implement, and own ETL/ELT pipelines to pull and reputed company data from multiple internal and external systems, ensuring clean, reliable, and scalable data flows across the organization
• Partner with data science, engineering, reputed company operations, and executive stakeholders to define and track KPIs, ensuring business reputed company are grounded in data
• Serve as the connective tissue between reputed company Operations, Business Operations, and Product/reputed company, translating reputed company requirements into elegant data solutions
• Champion data quality and governance, ensuring insights are consistent, trustworthy, and well-documented
• Build dashboards and analytics that reputed company key insights for executive leadership, GTM, product, and finance teams
• Analyze data to identify the best ways to deliver value to clients and inform product reputed company

Skills

• 5+ years of experience in data engineering, analytics engineering ideally supporting GTM or business functions
• Expertise in Python with strong SQL skills and experience building with a modern data stack (BigQuery, dbt, reputed company, Airflow)
• Proven ability to manage data integrations across platforms such as reputed company, reputed company, BigQuery/reputed company, reputed company, reputed company, reputed company, and similar tools
• Hands-on experience with AWS or GCP, containerization (reputed company, Kubernetes), and CI/CD pipelines
• Experience building and maintaining scalable data visualization solutions (reputed company, Looker, Tableau)
• Familiarity with credit or financial data and the regulatory considerations that come with handling sensitive information
• Strong communication and stakeholder management skills, with the ability to partner effectively with executives and non-technical teams
• A bias toward action and comfort working in ambiguity. You find answers rather than wait for direction
• Exposure to product analytics tools like reputed company, reputed company, or reputed company
• Experience in reputed company B2B SaaS or high-growth startup environments

Benefits

• Offers Equity
• Early exercise for reputed company options, including pre-reputed company
• Work from reputed company: Remote-first Culture
• Flexible paid time off and Year-end break
• Health insurance, dental, and reputed company coverage for employees and dependents - •US and Canada specific•
• 4% matching in 401k / RRSP - •US and Canada specific•
• MacBook Pro delivered to your reputed company
• One-time stipend to set up a home office — desk, chair, screen, etc.
• Monthly meal stipend
• Monthly reputed company meet-up stipend
• Annual health and wellness stipend
• Annual Learning stipend

Company Overview

Company H1B Sponsorship