Emburse

Senior Data Engineer

Emburse

full-time

Posted on:

Location Type: Hybrid

Location: Boston • Massachusetts • United States

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Job Level

Senior

Tech Stack

AirflowCloudETLInformaticaPythonSQL

About the role

  • Own key parts of our enterprise data platform—building trusted, scalable data pipelines that support usage metering, billing, revenue recognition, and executive reporting.
  • Manage and optimize Snowflake as Emburse’s enterprise data warehouse, ensuring performance, scalability, and security.
  • Build and maintain ETL/ELT workflows integrating data from systems such as Salesforce, BillingPlatform, and NetSuite.
  • Partner closely with Finance and Business Systems teams to ensure accurate usage, billing, and ARR reporting.
  • Identify and resolve data quality issues, implementing durable solutions that prevent repeat problems.
  • Define data models, standards, and governance practices that enable consistent and trusted reporting.
  • Collaborate with engineers and system owners to improve upstream data quality and integration design.
  • Support automation, monitoring, and version control of data pipelines using modern tooling (e.g., dbt, Airflow).

Requirements

  • 5–7+ years of experience in data engineering or analytics engineering, ideally in a SaaS or subscription-based environment.
  • Strong expertise in Snowflake, SQL, and analytical data modeling.
  • Hands-on experience with ETL/ELT tools such as dbt, Fivetran, Informatica, or similar.
  • Proficiency with Python, Git, Airflow, and cloud-based data platforms.
  • Experience working with usage, billing, revenue, or ARR data is highly preferred.
  • A track record of identifying data quality gaps and driving scalable, long-term solutions.
  • Strong communication skills and comfort working directly with Finance, Product, and Leadership stakeholders.
  • Bachelor’s degree in Computer Science, Information Systems, or a related field preferred.
Benefits
  • Competitive pay
  • Flexible work
  • Inclusive, collaborative environment
  • Equal employment opportunities (EEO)
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data engineeringanalytics engineeringSnowflakeSQLETLELTdata modelingPythonGitAirflow
Soft Skills
communicationcollaborationproblem-solvingstakeholder management