Senior Data Engineer

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

• 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

Not verified

Verification

Not verified checked Jun 7, 2026

Salary

$160K-$170K From the posting source checked Jun 20, 2026

401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

47% above the BLS role benchmark 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.

Role

Role function

Data From the posting source checked Jun 20, 2026

Seniority

Senior From the posting source checked Jun 20, 2026

Work mode

Hybrid From the posting source checked Jun 20, 2026

In-office days

2 days From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Company stage

Public-company From the posting source checked Jun 20, 2026

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Senior Data Engineer 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 Anywhere is one of Fullstory's three primary product verticals, and it's growing fast. We put Fullstory's rich digital experience data directly into customers' hands: in their warehouses, in their AI workflows, and in the tools their teams already use. As our Senior Data Engineer, you will report to the Senior Engineering Manager for the Fullstory Anywhere team and help build the systems that transform, move, and activate billions of data points at massive scale so that customers can unlock insights in their own environments and build intelligent agents on top of real user behavior. You will design and optimize pipelines that process 30 billion+ records per day across customer warehouses, collaborate with product and ML engineers to define how LLM-powered customer agents evaluate and act on Fullstory data, and make architectural decisions that balance throughput, cost, and reliability across a product vertical with accelerating revenue and adoption. To excel in this job, you must be comfortable owning large, ambiguous technical problems end-to-end, from initial design through production health, and know how to build data-intensive systems that stay reliable as they scale. In a typical day, you might: - Maintain, extend, and scale Go microservices that transform and deliver Fullstory session data into customer warehouses and power the team's MCP server that enables AI agent integrations. - Develop

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