Pay
Higher than most similar jobs
$243K–$295K against $127K–$190K, the middle half of what similar US postings state.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Senior Software Engineer, Realtime Analytics Platform
San Mateo, CA, United States
Live, first seen by us 14 days ago- Pay
USD 243,290–295,250/year — pay source
Annual Salary Range $243,290—$295,250 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).
Read the full posting- Work setting
- Not stated
- Employment
- Not stated
Before you apply
- Work authorization
- No visa sponsorship
What you’ll work on
Full postingOwn and scale the StarRocks and Apache Druid platforms end to end
Optimize query engine performance and keep sub-second latency under load
Guide data modeling for MPP databases (partitioning, bucketing, sort keys)
Lead cluster provisioning, operations, and capacity planning on Kubernetes and Terraform
From the employer’s posting
Take end-to-end ownership of the architecture, operational health, and scalability of our high-throughput OLAP engines
Dive deep into engine internals, cost-based optimization (CBO), query planning, vectorized execution, memory optimization, and serialization efficiency
guide data modeling for MPP databases, optimizing partitioning, bucketing, sort keys, and materialized views.
Lead cluster provisioning, lifecycle management, operations, and capacity planning using Kubernetes and Terraform across cloud environments.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 20, 202614 days ago
- Recorded sightings
- 34
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 14
Similar jobs usually come down between day 5 and day 54.
From 10,736 similar postings that came down. Coming down is not always a hire.
Roblox is hiring
26 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Data Engineer hiring is picking up
- Its jobs tend to stay up a long time
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- C++
- Java
- Scala
- SQL
- AWS
- ClickHouse
- Kafka
- Kubernetes
- Terraform
- Trino
- Go
- GCP
Where the posting names them
- Data Modeling & Query Optimization: Expertise in OLAP schema design (partitioning, bucketing, sort keys, indexing) and tuning cost-based SQL query engines for massive scale. - Strong Engineering Foundations: Robust proficiency in Java, Go, C++, or Scala, with a track record of writing clean, highly performant distributed backend code. - Infrastructure & Orchestration: Experience operating, troubleshooting, and provisioning data infrastructure at scale using Kubernetes and Terraform on AWS or GCP.
- Streaming & Ingestion Architecture: Proven track record implementing high-volume streaming ingestion using Apache Kafka, Apache Flink, Routine Load / Broker Load, or Debezium/CDC pipelines. - Data Modeling & Query Optimization: Expertise in OLAP schema design (partitioning, bucketing, sort keys, indexing) and tuning cost-based SQL query engines for massive scale. - Strong Engineering Foundations: Robust proficiency in Java, Go, C++, or Scala, with a track record of writing clean, highly performant distributed backend code.
- Strong Engineering Foundations: Robust proficiency in Java, Go, C++, or Scala, with a track record of writing clean, highly performant distributed backend code. - Infrastructure & Orchestration: Experience operating, troubleshooting, and provisioning data infrastructure at scale using Kubernetes and Terraform on AWS or GCP. - Technical Leadership: Demonstrated ability to influence technical direction across teams, mentor engineers, and drive alignment on complex cross-cutting initiatives.
- 6+ years of experience building, designing, testing and maintaining production-grade, large-scale distributed systems. - Deep OLAP & MPP Engine Depth: Strong hands-on engineering or operational experience with StarRocks or adjacent OLAP engines such as Apache Druid, ClickHouse, Apache Doris, Apache Pinot, or Trino/Presto. - Streaming & Ingestion Architecture: Proven track record implementing high-volume streaming ingestion using Apache Kafka, Apache Flink, Routine Load / Broker Load, or Debezium/CDC pipelines.
- Bonus Points: - Core contributions to open-source OLAP databases (StarRocks, Apache Druid, ClickHouse, Apache Doris). - Experience operating real-time analytical platforms at consumer-internet scale (100M+ active users).
- Optimize Query Engine Performance: Dive deep into engine internals, cost-based optimization (CBO), query planning, vectorized execution, memory optimization, and serialization efficiency to maximize throughput and maintain sub-second latency under heavy concurrent load. - Architect Streaming Ingestion Pipelines: Design, build, and optimize real-time data ingestion paths leveraging Apache Kafka, Apache Flink and native engine load mechanisms. - Drive OLAP Data Modeling Best Practices: Partner with infra, data science, and product engineering teams to guide data modeling for MPP databases, optimizing partitioning, bucketing, sort keys, and materialized views.
- Deep OLAP & MPP Engine Depth: Strong hands-on engineering or operational experience with StarRocks or adjacent OLAP engines such as Apache Druid, ClickHouse, Apache Doris, Apache Pinot, or Trino/Presto. - Streaming & Ingestion Architecture: Proven track record implementing high-volume streaming ingestion using Apache Kafka, Apache Flink, Routine Load / Broker Load, or Debezium/CDC pipelines. - Data Modeling & Query Optimization: Expertise in OLAP schema design (partitioning, bucketing, sort keys, indexing) and tuning cost-based SQL query engines for massive scale.
- Drive OLAP Data Modeling Best Practices: Partner with infra, data science, and product engineering teams to guide data modeling for MPP databases, optimizing partitioning, bucketing, sort keys, and materialized views. - Manage Cluster Infrastructure & Capacity: Lead cluster provisioning, lifecycle management, operations, and capacity planning using Kubernetes and Terraform across cloud environments. - Advance Autonomous Interfaces: Integrate AI/ML and LLM-driven capabilities within our query platforms to enable automated self-serve mechanisms and intelligent data discovery for engineers.
Your next step
Complete your application on careers.roblox.com. The employer’s form will show what is required.
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- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
- Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
Already applied? Track this application
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators.
At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there.
A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.
Your Role:
Roblox's data infrastructure processes petabytes of data daily, powering analytics, ML, and product decisions for a platform serving 200M+ daily active users. As a Senior Software Engineer on our Real-time Analytics Platform team, you will design, build, and scale the core OLAP infrastructure powering sub-second analytical queries across Roblox. Our team directly owns and operates StarRocks and Apache Druid, driving high-throughput streaming ingestion and low-latency MPP query processing. You will lead the next-generation architecture of our real-time analytics platform, combining high ownership and deep technical complexity to push the boundaries of MPP engine performance, streaming ingestion pipelines, and cluster scalability.
You Will:
- Own and Scale Core OLAP Platforms: Take end-to-end ownership of the architecture, operational health, and scalability of our high-throughput OLAP engines, specifically StarRocks and Apache Druid.
- Optimize Query Engine Performance: Dive deep into engine internals, cost-based optimization (CBO), query planning, vectorized execution, memory optimization, and serialization efficiency to maximize throughput and maintain sub-second latency under heavy concurrent load.
- Architect Streaming Ingestion Pipelines: Design, build, and optimize real-time data ingestion paths leveraging Apache Kafka, Apache Flink and native engine load mechanisms.
- Drive OLAP Data Modeling Best Practices: Partner with infra, data science, and product engineering teams to guide data modeling for MPP databases, optimizing partitioning, bucketing, sort keys, and materialized views.
- Manage Cluster Infrastructure & Capacity: Lead cluster provisioning, lifecycle management, operations, and capacity planning using Kubernetes and Terraform across cloud environments.
- Advance Autonomous Interfaces: Integrate AI/ML and LLM-driven capabilities within our query platforms to enable automated self-serve mechanisms and intelligent data discovery for engineers.
You Have:
- 6+ years of experience building, designing, testing and maintaining production-grade, large-scale distributed systems.
- Deep OLAP & MPP Engine Depth: Strong hands-on engineering or operational experience with StarRocks or adjacent OLAP engines such as Apache Druid, ClickHouse, Apache Doris, Apache Pinot, or Trino/Presto.
- Streaming & Ingestion Architecture: Proven track record implementing high-volume streaming ingestion using Apache Kafka, Apache Flink, Routine Load / Broker Load, or Debezium/CDC pipelines.
- Data Modeling & Query Optimization: Expertise in OLAP schema design (partitioning, bucketing, sort keys, indexing) and tuning cost-based SQL query engines for massive scale.
- Strong Engineering Foundations: Robust proficiency in Java, Go, C++, or Scala, with a track record of writing clean, highly performant distributed backend code.
- Infrastructure & Orchestration: Experience operating, troubleshooting, and provisioning data infrastructure at scale using Kubernetes and Terraform on AWS or GCP.
- Technical Leadership: Demonstrated ability to influence technical direction across teams, mentor engineers, and drive alignment on complex cross-cutting initiatives.
- B.S. equivalent in CS or sufficient experience.
- Bonus Points:
- Core contributions to open-source OLAP databases (StarRocks, Apache Druid, ClickHouse, Apache Doris).
- Experience operating real-time analytical platforms at consumer-internet scale (100M+ active users).
For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page.
Annual Salary Range
$243,290—$295,250 USD
Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).
Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process.
For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
Source details
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- Pay
Annual Salary Range $243,290—$295,250 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).
- Location & working pattern
San Mateo, CA, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process. For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.