Pay
Higher than most similar jobs
$200K–$220K 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.
Staff Data Platform Engineer
Atlanta, GA preferred, Remote
Live, first seen by us 49 days ago- Pay
$200,000–220,000/yearAnnual period assumed — pay source
Working at PrizePicks: The typical salary range for this position is $200,000 to $220,000. At PrizePicks, we consider your role, level, and where you'll be working when determining our salary ranges. The compensation info you see on our job postings gives you an idea of the starting pay range for the position. Your actual pay within that range will depend on your specific work location, as well as your skills, experience, and education. Your recruiter will be happy to chat more about the specific pay range for your location and how we arrived at it during the hiring process.
Read the full posting- Work setting
Remote — work setting source
Listed location: Atlanta, GA preferred, Remote
Read the full posting- Employment
- Not stated
Before you apply
- Work authorization
- Must already have the right to work in the US
You must be authorized to work for any employer in the US We are unable to sponsor or take over sponsorship of an employment Visa at this time
What you’ll work on
Full postingDesign and build batch and streaming data platform with catalog and lineage
Build low-latency services that pipe data for real-time decisions
Champion model deployment, monitoring, and CI/CD for data pipelines
Enable observability and 99.99% availability for data platform
Operationalize data engineering and data science work with partner teams
From the employer’s posting
Design and build the Data platform for Batch and Streaming use cases
Build platform for deploying low-latency services to pipe data for streaming or near real time use cases
You will champion best practices for model deployment, monitoring, and CI/CD for Data pipeline deployment
You will enable complete observability for batch and streaming data platform and ensure the availability of 99.99%
Partner with Product, Backend Engineering, Data Engineering and Data Science teams to operationalize complex Data engineering and Data science capabilities
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 16, 202649 days ago
- Recorded sightings
- 38
- Last seen by us
- Nov 5, 2026
- Employer says posted
- Sep 14, 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 49
Similar jobs usually come down between day 6 and day 54.
From 11,032 similar postings that came down. Coming down is not always a hire.
PrizePicks is hiring
10 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring at a steady pace
- 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.
- Python
- AWS
- BigQuery
- Docker
- Elasticsearch
- GCP
- Iceberg
- Kafka
- Kubernetes
- Redis
- Spark
- Trino
- Airflow
- Go
Where the posting names them
- Deep experience building a platform for managing the full Data lifecycle including setting up a data exploration environment. - Expert in coding with Python and Go. Deep experience with Cloud services, preferred with GCP services (BigQuery, Cloud Functions, GKE) or AWS equivalents. - Excellent communication skills, stakeholder management and outstanding problem-solving skills.
- Proficient in streaming architectures (Kafka/Flink/PubSub) and building low-latency services to serve stream ingestion and processing, which will serve model inference in <100ms. - Proficient with Containerization, Docker, Kubernetes and cluster level management. - Extensive experience in Big data technologies like Spark, Flink, Kafka or Kinesis, Argo/Airflow, Polaris, OpenMetadata, Iceberg, Lakehouse, Redis, Elasticsearch, Databases. Experience with building REST APIs, package management and have built libraries.
- Proficient with Containerization, Docker, Kubernetes and cluster level management. - Extensive experience in Big data technologies like Spark, Flink, Kafka or Kinesis, Argo/Airflow, Polaris, OpenMetadata, Iceberg, Lakehouse, Redis, Elasticsearch, Databases. Experience with building REST APIs, package management and have built libraries. - Deep experience building a platform for managing the full Data lifecycle including setting up a data exploration environment.
- 8+ years of experience in Platform Engineering, with a proven track record of deploying and maintaining scalable Data platforms in high-traffic production environments. - Proficient in streaming architectures (Kafka/Flink/PubSub) and building low-latency services to serve stream ingestion and processing, which will serve model inference in <100ms. - Proficient with Containerization, Docker, Kubernetes and cluster level management.
- Experience implementing data platform infrastructure while enforcing best practices for deployment of a large scale data platform. - Designed and built scalable, fault-tolerant data storage, distributed processing systems, and data lakes at massive scale, worked with technologies - Apache Spark, Flink, Trino, Presto, or Kafka. - Built internal tools for data pipeline authoring, orchestration, and AI-assisted analytics to boost developer productivity.
Your next step
Complete your application on prizepicks.com. The employer’s form will show what is required.
Applying through Greenhouse
- 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
Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
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
At PrizePicks, we are the fastest-growing sports company in North America, as recognized by Inc. 5000. As the leading platform for Daily Fantasy Sports, we cover a diverse range of sports leagues, including the NFL, NBA, and Esports titles like League of Legends and Counter-Strike. Our team of over 550 employees thrives in an inclusive culture that values individuals from diverse backgrounds, regardless of their level of sports fandom. Ready to reimagine the DFS industry together?
Staff Data Platform Engineer
As a Staff Data Platform Engineer, you will contribute to architecting and building the modern Data platform at Prizepicks to scale and productionize our core data engineering, data analytics and machine learning capabilities. Your work will directly impact key metrics like Time-to-Bet, Deposit Velocity, and Platform Integrity by integrating robust, low-latency ML models across our sports betting and daily fantasy ecosystems.
What You’ll Do- Build Scalable Data Platform: Design and build the Data platform for Batch and Streaming use cases. You will build and maintain a platform with cutting edge technologies and enable data users by building data catalog and data lineage capabilities. You will be architecting an end to end data platform, making improvements for automation & scaling, and enforcing robust data security architectures and controls.
- Real-Time data platform at Scale: Build platform for deploying low-latency services to pipe data for streaming or near real time use cases. You will power real-time decisions across the platform, from dynamic oddsmaking and risk analysis to smart deposit defaults.
- Data Platform Ops: You will champion best practices for model deployment, monitoring, and CI/CD for Data pipeline deployment. You will enable complete observability for batch and streaming data platform and ensure the availability of 99.99%
- Cross-Functional Collaboration: Partner with Product, Backend Engineering, Data Engineering and Data Science teams to operationalize complex Data engineering and Data science capabilities—balancing platform stability, architectural standards, and rapid iteration.
- 8+ years of experience in Platform Engineering, with a proven track record of deploying and maintaining scalable Data platforms in high-traffic production environments.
- Proficient in streaming architectures (Kafka/Flink/PubSub) and building low-latency services to serve stream ingestion and processing, which will serve model inference in <100ms.
- Proficient with Containerization, Docker, Kubernetes and cluster level management.
- Extensive experience in Big data technologies like Spark, Flink, Kafka or Kinesis, Argo/Airflow, Polaris, OpenMetadata, Iceberg, Lakehouse, Redis, Elasticsearch, Databases. Experience with building REST APIs, package management and have built libraries.
- Deep experience building a platform for managing the full Data lifecycle including setting up a data exploration environment.
- Expert in coding with Python and Go. Deep experience with Cloud services, preferred with GCP services (BigQuery, Cloud Functions, GKE) or AWS equivalents.
- Excellent communication skills, stakeholder management and outstanding problem-solving skills.
- Should have been a key contributor to projects through the entire development lifecycle from concept to release.
- Experience implementing data platform infrastructure while enforcing best practices for deployment of a large scale data platform.
- Designed and built scalable, fault-tolerant data storage, distributed processing systems, and data lakes at massive scale, worked with technologies - Apache Spark, Flink, Trino, Presto, or Kafka.
- Built internal tools for data pipeline authoring, orchestration, and AI-assisted analytics to boost developer productivity.
- Established policies and tooling for data quality, compliance, lineage, and secure access control.
- Enabled self-service for Data teams for pipeline development and deployment.
- Background in Daily Fantasy Sports (DFS), oddsmaking, or high-frequency trading or similar domain expertise.
- While we prefer candidates based in Atlanta, we are open to qualified applicants from anywhere in the U.S. and are willing to consider remote candidates. #LI-Remote
Only include the below on remote job postings
Working at PrizePicks:The typical salary range for this position is $200,000 to $220,000. At PrizePicks, we consider your role, level, and where you'll be working when determining our salary ranges. The compensation info you see on our job postings gives you an idea of the starting pay range for the position. Your actual pay within that range will depend on your specific work location, as well as your skills, experience, and education. Your
recruiter will be happy to chat more about the specific pay range for your location and how we arrived at it during the hiring process.
This application period will remain open for 30 days. We’re committed to finding the best candidate, so this date may be adjusted, and any changes will be reflected in this posting.
Date Posted: 09/11/2026
First Extension: 10/11/2026
Second Extension:11/11/2026
Benefits you’ll receive:
In addition to your great compensation package, full-time employees will be eligible for the following perks:
- Company-subsidized medical, dental, & vision plans
- 401(k) plan with company match
- Annual bonus
- Flexible PTO to encourage a healthy work/life balance (2 weeks STRONGLY encouraged!)
- Generous paid leave programs, including 16-week paid parental leave and disability benefits
- Workplace flexibility and modern work schedules focused on getting the job done, not hours clocked
- Company-wide in-person events and team outings
- Lifestyle enhancement program
- Company equipment provided (Windows & Mac options)
- Annual performance reviews with opportunities for growth and career development
You must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
PrizePicks is an Equal Opportunity Employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Working at PrizePicks: The typical salary range for this position is $200,000 to $220,000. At PrizePicks, we consider your role, level, and where you'll be working when determining our salary ranges. The compensation info you see on our job postings gives you an idea of the starting pay range for the position. Your actual pay within that range will depend on your specific work location, as well as your skills, experience, and education. Your recruiter will be happy to chat more about the specific pay range for your location and how we arrived at it during the hiring process.
- Location & working pattern
Atlanta, GA preferred, Remote
Where you’ll live: - While we prefer candidates based in Atlanta, we are open to qualified applicants from anywhere in the U.S. and are willing to consider remote candidates. #LI-Remote Only include the below on remote job postings Working at PrizePicks:
- Work authorization
- Annual performance reviews with opportunities for growth and career development You must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time. PrizePicks is an Equal Opportunity Employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.