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Home›Jobs›Emburse›Senior Data Engineer
Emburse

About Emburse

The spend optimization platform for modern businesses

👥 501-1000 employees📍 Miracle Mile, Los Angeles, CA💰 $4.5m⭐ 3.3
FintechB2BAccountingAutomation

Key Highlights

  • Headquartered in Miracle Mile, Los Angeles, CA
  • Over 18,000 organizations use Emburse's platform
  • Notable clients include Microsoft and Bosch
  • $4.5 million raised in seed funding

Emburse is a spend optimization platform headquartered in Miracle Mile, Los Angeles, CA, that empowers over 18,000 organizations, including Microsoft and Bosch, to streamline their financial processes. With a focus on eliminating manual tasks, Emburse offers capabilities such as automated purchasing...

🎁 Benefits

Emburse provides comprehensive medical, dental, and vision insurance, generous paid time off, and flexible work schedules. Employees enjoy parental le...

🌟 Culture

Emburse fosters a culture focused on optimizing financial processes in a rapidly changing digital landscape. The company values community engagement a...

🌐 WebsiteAll 48 jobs →
Emburse

Senior Data Engineer

Emburse • Dallas, TX

Posted 2w ago🏛️ On-SiteSeniorData engineer📍 Dallas
Apply Now →

Skills & Technologies

SnowflakePower BISalesforceBillingplatformNetsuite

Job Description

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. 

Emburse is seeking a Senior Data, Metering, Usage & Reporting Engineer to own the design, development, and optimization of our enterprise data architecture spanning Snowflake, Power BI, and other Data Platforms. This role will drive trusted, scalable, and automated data flows that support accurate revenue recognition, usage metering, and executive reporting across Salesforce, BillingPlatform, and NetSuite.

This individual will play a key role in the company’s broader data transformation — ensuring metering completeness, enabling data-driven decision-making, and closing data quality gaps through hands-on engineering and rapid problem solving.

The ideal candidate combines strong technical depth in data engineering with practical business understanding — able to connect complex systems, model data for analytics, and build reliable pipelines that turn raw data into actionable insights.

Interested in this role?

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