Data Engineer

ashbyhq

Remote 5 Years Exp Posted 26d ago

Job Description

  • Design, implement, and maintain ETL/ELT pipelines that pull and merge data from multiple internal and external systems, ensuring clean, reliable, and scalable data flows across the organization.

  • Own the data warehouse architecture, including partitioning strategy, access controls, and security, in partnership with Security and Infrastructure teams to meet compliance and performance requirements.

  • Partner with data science, engineering, Revenue Operations, and executive stakeholders to define and track KPIs, translating complex requirements into reliable data solutions that drive strategic decisions.

  • Champion data quality and governance, ensuring insights are consistent, trustworthy, and well-documented across the organization.

  • Take full ownership of billing data infrastructure, including backend warehouse tables, data models, and ongoing maintenance.

  • Build dashboards and analytics that deliver actionable insights for executive leadership, GTM, product, and finance teams.

  • Share knowledge and support the growth of peers through code reviews, documentation, and informal mentorship.

What You Will Bring

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  • 5+ years of experience in data engineering or analytics engineering, ideally supporting GTM or business functions in a fast-paced environment.

  • Proven ability to manage data integrations across platforms such as Salesforce, HubSpot, Amplitude, Sigma, Clay, and similar tools.

  • Expertise in Python with strong SQL skills and experience building with a modern data stack (BigQuery, dbt, Fivetran, Airflow).

  • Familiarity with credit or financial data and the regulatory considerations that come with handling sensitive information.

  • 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).

  • Strong communication and stakeholder management skills, with the ability to partner effectively with executives and non-technical teams.

  • A bias toward action, comfort working in ambiguity, and a strong sense of ownership — you find answers rather than wait for direction.

Bonus Points

  • Experience in fintech, cybersecurity, or fraud prevention.

  • Familiarity with data privacy regulations (e.g., SOC 2, GDPR, CCPA).

  • Contributions to open-source data tools or communities.

What We Offer

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  • Competitive salaries 

  • Excellent medical, dental and vision benefits

  • Participation in the employee stock option program

  • Flexible Time Off policy

  • 12 company-paid holidays, 10 paid sick days and your birthday off!

  • Company-paid life insurance

  • Company paid short and long-term disability

  • Generous parental paid leave

  • Wellness reimbursement of $300/year

  • Remote worker reimbursement of $300/year

    • Professional development reimbursement

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