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HomeCompaniesQuantcastSoftware Engineer (Big Data)

Software Engineer (Big Data)

Quantcast · San Francisco, CA · Hybrid · Active · $138,500–$162,000 / year · Lever

Job facts

FieldValue
CompanyQuantcast
TitleSoftware Engineer (Big Data)
Normalized title-
Department / teamEngineering & Modeling / Platform Engineering
LocationSan Francisco, CA, United States
Work modelHybrid / Hybrid
Employment typeFull Time
Salary$138,500–$162,000 / year
Statusactive
ATS providerLever
Posted / first seen2026-04-02 / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Quantcast.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Lever.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in San Francisco.Open
Department jobsActive postings in Engineering & Modeling.Open
Work model jobsActive Hybrid postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyQuantcast
Sourcecee424b5-eb19-4576-840d-971f24cc7297
ATS providerLever

Description

At Quantcast, we don't just build advertising technology, we revolutionize how it works. Our AI-powered Demand Side Platform (DSP) connects the world's most ambitious marketers with their ideal audiences across the open internet, delivering results that actually move the needle. Since 2006, we've been the industry's trailblazer, launching the first AI-powered measurement platform for publishers and the first AI-driven DSP. Our AI doesn't just optimize—it delivers the measurable outcomes that matter most to our clients, giving them the competitive edge they need in a crowded marketplace. Ready to join the team that's defining the future of digital advertising? We are seeking a Software Engineer to join our Big Data Services team. This role focuses on building, maintaining, and optimizing large-scale data processing systems while supporting the needs of our data science and engineering teams. You will work closely with engineers, data scientists, and researchers to ensure a reliable, scalable, and efficient data infrastructure that powers advanced analytics and modeling workflows. The primary focus of the team is driving and developing systems and services that enable Quantcast to scale its distributed storage and compute platform. The ideal candidate has a passion for large-scale distributed systems (e.g., HDFS and Spark). The salary range for this position is $138,500 - $162,000 USD #LI-AC1 At Quantcast, we craft offers that reflect your unique skills, expertise, and geographic location. On top of a competitive salary, this position includes a performance bonus, equity, and a comprehensive benefits package. For more details, visit our Careers Page and see how we support our team. We are headquartered in San Francisco with offices around the world. Quantcast is an Equal Opportunity Employer. Please see the Applicant Privacy Notice for details on our applicant privacy policy. Join the team that unlocks potential. What you'll do: Contribute to the development and optimization of large-scale data workflows using technologies such as Apache Spark or similar frameworks Develop and operate our large scale data processing systems, making them more elastic and fault tolerant, solving distributed data and compute challenges Assist in deploying and maintaining production systems, including CI/CD workflows Provide technical input into roadmaps for the team Write clean, maintainable, and well-tested code Who you are: Recent graduate (0-1 years) with a Bachelor's Degree in computer science or equivalent experience You must be work-authorized in the United States without the need for current or future employer sponsorship. We are not currently able to engage candidates on OPT. Familiarity with data processing frameworks such as Apache Spark, Hadoop, or similar. Familiarity with containerization tools (e.g., Docker and Kubernetes) Experience with workflow orchestration tools (e.g., Airflow) is a plus Proficient in Java and/or Python programming languages Linux system administration/automation is a plus Strong problem-solving and debugging skills Organized and detail-oriented What you'll learn in this role: Hands-on experience with large-scale distributed systems in production Exposure to real-world data science and modeling workflows Best practices in building scalable and reliable data infrastructure Collaboration across engineering and modeling teams

Full job record

Job IDdc9efe530048f78d5ea15f638a75cd65b331a932
Org ID433c8295-d6c7-4a3f-ba06-e3a9c25f093c
Source IDcee424b5-eb19-4576-840d-971f24cc7297
Board IDcee424b5-eb19-4576-840d-971f24cc7297
Providerlever
Provider Job Keyf5e0050a-c411-45f8-8a99-6d0c651427a6
TitleSoftware Engineer (Big Data)
Normalized Title
Statusactive
Activeyes
Location TextSan Francisco, CA
DepartmentEngineering & Modeling
TeamPlatform Engineering
Employment TypeFull-time
Workplace Typehybrid
Remote Policyhybrid
CountryUnited States
RegionCA
CitySan Francisco
Salary Rawsalary range for this position is $138,500 - $162,000 USD #LI-AC1 At Quantcast, we craft offers that reflect your unique skills, expe
Salary Min138,500
Salary Max162,000
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://jobs.lever.co/quantcast/f5e0050a-c411-45f8-8a99-6d0c651427a6
Apply URLhttps://jobs.lever.co/quantcast/f5e0050a-c411-45f8-8a99-6d0c651427a6/apply
First Seen At2026-05-29 07:02:17Z
Last Seen At2026-06-06 07:56:56Z
Last Checked At2026-06-06 07:56:56Z
Last Changed At2026-05-29 07:02:17Z
Inactive At
Source Posted At2026-04-02 18:28:27Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=lever/board=quantcast/date=2026-06-06/2026-06-06T07-56-56-122Z-c4af91f445438dc14415d3f3a3ccfa38c176ec03d8ee3732a473f04b6ea9192f.json
Event Fields
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  "last_changed_at": "2026-05-29T07:02:17.528Z",
  "active_status": "active"
}
Parsed Structured
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Extensions
{}
Native Structured
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