Senior Software Engineer, Data Ingestion
FullStory - Atlanta, GA, USA
Posted May 26, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
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- Verification
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- Salary
- Not verified not verified - source not recorded; timestamp not recorded
- 401(k) match
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Market context
- Median wage (BLS OEWS)
- $111,944 national median
- Projected growth (BLS Employment Projections)
- +13.7% - Much faster than average
52% above the BLS national median for data and ml aggregate.
Matched to SOC 15-1252 - Data and ML aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Application
- Cover letter
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- Assessment
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- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Senior Software Engineer, Data Ingestion Atlanta, GA, USA This is a hybrid position requiring in-office attendance one day per week at our Atlanta office. Candidates must reside within a commutable distance to be considered. Fullstory's mission is to help teams create amazing online experiences for their users. We do this by applying deep expertise in distributed systems and computer science to build an ambitiously high-scale and high-value platform. The scale at which Fullstory ingests, processes, and persists data makes our systems uniquely challenging to design and operate. Our Data Ingestion services are responsible for processing hundreds of thousands of browser and mobile application event bundles every second and quickly transforming this data into easily consumable activity for machines and humans alike. As a Senior Software Engineer focused on our ingestion pipeline, you will be working on evolving our highly reliable, secure, performant, and cost efficient foundation for the capture and processing of session data. This data feeds both the product analytics features in our own application as well as data analytics and machine learning systems, where streaming accurate data as it is being captured can power further insights and interactivity for our customers. In a typical day, you might: - Engineer distributed systems that operate at tens to hundreds of thousands of requests per second using Go, Kubernetes, and GCP. - Explore ideas about how to unlock new features through thoughtful architecture and framework designs. - Ensure the quality and reliability of Fullstory's capture and extraction systems across many services
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