Data Engineer Data and Analytics

About the Role You will own and operate internal data infrastructure designing building and maintaining data pipelines to ensure high quality governed data. You will enable stakeholders across the organization to make data driven decisions by delivering scalable data solutions and actionable dashboards.

Requirements 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 including BigQuery dbt Fivetran and Airflow. Proven ability to manage data integrations across platforms such as Salesforce HubSpot BigQuery Snowflake Amplitude Sigma Clay and similar tools. Hands on experience with AWS or GCP containerization Docker Kubernetes and CI CD pipelines. Experience building and maintaining scalable data visualization solutions Sigma Looker Tableau. Familiarity with credit or financial data and 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. Bonus points for Exposure to product analytics tools like Segment Amplitude or Mixpanel. Experience in enterprise B2B SaaS or high growth startup environments.

Responsibilities Build and own internal data infrastructure integrating CRM marketing product finance and operational systems into a cohesive well modeled data warehouse. Own the data warehouse partitioning strategy access controls and security architecture in partnership with Security 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 merge data from multiple internal and external systems ensuring clean reliable and scalable data flows. Partner with data science engineering revenue operations and executive stakeholders to define and track KPIs ensuring business decisions are grounded in data. Serve as the connective tissue between Revenue Operations Business Operations and Product Eng translating complex requirements into elegant data solutions. Champion data quality and governance ensuring insights are consistent trustworthy and well documented. Build dashboards and analytics that provide 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 decisions.

Benefits Generous compensation in cash and equity Early exercise for all options including pre vesting Work from anywhere Remote first Culture Flexible paid time off and Year end break Health insurance dental and vision coverage for employees and dependents 4% matching in 401k RRSP US and Canada specific MacBook Pro delivered to your door One time stipend to set up a home office desk chair screen Monthly meal stipend Monthly social meet up stipend Annual health and wellness stipend Annual Learning stipend Join a fast growing company with world class professionals from around the world Funding Investors Software Engineer econetwork · 1 day ago Senior Data Engineer Zero Hash LLC · 1 day ago Staff Engineer, Embedded Finance & AI Reap · 1 day ago Staff Data Platform Engineer Crystal Blockchain B.V. · 3 days ago Senior Blockchain Engineer Alluvial · 3 days ago Funding Investors Software Engineer econetwork · 1 day ago Senior Data Engineer Zero Hash LLC · 1 day ago Staff Engineer, Embedded Finance & AI Reap · 1 day ago Staff Data Platform Engineer Crystal Blockchain B.V. · 3 days ago Senior Blockchain Engineer Alluvial · 3 days ago