Senior Data Engineer - Boston​/Burlington

Who We Are:

At Emburse, you’ll not just imagine the future – you’ll build it. As a leader in travel and expense solutions, we are creating a future where technology drives business value and inspires extraordinary results. Our AI-powered platform helps organizations modernize financial operations, increase visibility, and optimize spend across the enterprise.

Emburse is seeking a Senior Data Engineer to help power how we measure, understand, and grow our business. In this role, you’ll own key parts of our enterprise data platform—building trusted, scalable data pipelines that support usage metering, billing, revenue recognition, and executive reporting.

This role will start fully remote and transition to a hybrid schedule (3 days per week) once our Greater Boston–area office is established (anticipated near the Burlington area). You’ll work closely with Finance, Business Systems, and Analytics partners to ensure our data is accurate, complete, and decision-ready.

This is a highly hands‑on role for someone who enjoys connecting complex systems, solving ambiguous data problems, and translating business needs into reliable data solutions.

• Design, build, and own data pipelines and models that support usage, billing, revenue, 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, Billing Platform, and Net Suite
  .
• 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).
• Provide technical mentorship and raise data engineering best practices across the team.

• 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.

Finance is changing—and at Emburse, we’re leading the way. Our AI-powered solutions help organizations eliminate inefficiencies, gain real-time visibility, and optimize spend—so they can focus on what’s next, not what’s slowing them down.

• A Company with Momentum – We serve 12M+ users across 120 countries, helping businesses modernize their finance operations.
• A Team That Innovates – Work alongside some of the brightest minds in finance, tech, and AI to solve real‑world challenges.
• A Culture That Empowers – Competitive pay, flexible work, and an inclusive, collaborative environment that supports your success.
• A Career That Matters – Your work here drives efficiency, innovation, and smarter financial decision‑making for businesses everywhere.

Shape your future & find what’s next at Emburse.

Emburse provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Emburse complies with applicable state and local laws governing nondiscrimination in employment in every location where the company has facilities. This policy applies to all terms and conditions of employment.