PrizePicks

Runs fantasy sports contests and prediction markets

Data Platform Engineer

Platform EngineeringConfirmed live in the last 24 hours

Full-timeRemote in USA

About the Job

Requirements

At least 3 years of experience in Platform Engineering, including deploying and maintaining scalable data platforms in high-traffic production environments.
Proficiency in streaming architectures such as Kafka, Flink, or Pub/Sub, and building low-latency services for stream ingestion and processing to serve model inference in under 100 milliseconds.
Proficiency with containerization, Docker, Kubernetes, and cluster-level management.
Deep experience building a platform for managing the full data lifecycle, including establishing a data exploration environment.
Expertise coding with Python and Go.
Deep experience with cloud services, preferably Google Cloud Platform services such as BigQuery, Cloud Functions, and Google Kubernetes Engine, or Amazon Web Services equivalents.
Extensive experience with big data technologies such as Spark, Flink, Kafka or Kinesis, Argo or Airflow, Polaris, OpenMetadata, Iceberg, Lakehouse, Redis, Elasticsearch, and databases; experience building REST APIs, managing packages, and building libraries.
Experience contributing to projects throughout the entire development lifecycle, from concept to release.
Authorization to work for any employer in the United States.

Responsibilities

Design and build the data platform for batch and streaming use cases.
Build and maintain a platform with data catalog and data lineage capabilities to enable data users.
Contribute to designing and enforcing robust data security architectures and controls.
Build a platform for deploying low-latency services that pipe data for streaming or near-real-time use cases.
Enable real-time decisions across the platform, including dynamic oddsmaking, risk analysis, and smart deposit defaults.
Champion best practices for model deployment, monitoring, and continuous integration and continuous delivery for data pipeline deployment.
Enable complete observability for the batch and streaming data platform and ensure 99.99% availability.

Desired Qualifications

Experience implementing infrastructure while enforcing best practices for deployment of a large-scale data platform.
Background in Daily Fantasy Sports, oddsmaking, or high-frequency trading.
Experience building and scaling data platforms that bridge batch historical data with real-time event streams.
Experience enabling self-service for data teams to develop and deploy pipelines.
Experience enabling AI agents for repetitive tasks and AI-assisted coding for faster, iterative software development.
Excellent communication skills, stakeholder management, and problem-solving skills.

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?

As a Data Platform Engineer, you will contribute to 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 contributing to design and enforce 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%

What you have:

3+ 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.
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.
Extensive experience in Big data technologies like Spark, Flink, Kafka or Kinesis, Argo/Airflow, Polaris, OpenMetadata, Iceberg, Lakehouse, Redis, Elasticsearch, and Databases. Experience with building REST APIs, package management and have built libraries.
Should have been a key contributor to projects through the entire development lifecycle from concept to release.

What makes you stand out:

Experience implementing infrastructure while enforcing best practices for deployment of a large scale data platform.
Background in Daily Fantasy Sports (DFS), oddsmaking, or high-frequency trading.
Experience building and scaling data platforms that successfully bridge batch historical data with real-time event streams.
Enabling self-service for Data teams for pipeline development and deployment.
Enabling AI agents for repetitive tasks and AI coding for faster and iterative software development.

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

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.

About the Company

PrizePicks

Runs fantasy sports contests and prediction markets

PrizePicks runs fantasy sports contests and prediction markets through a consumer app for eligible adults in the United States. Player Picks centers on whether athletes finish above or below published statistics, with results and payouts governed by contest rules. Team Picks and Culture Picks are separate event contracts tied to sports outcomes and real-world events, handled by its regulated brokerage subsidiary rather than its fantasy-contest operator. Its fantasy contests generate revenue from entry fees, and product availability varies by state and pick type. The operating company was established in 2015, and PrizePicks is headquartered in Atlanta, Georgia.

Company size: 501-1,000
Company stage: Seed
Total funding: $2.3M
Headquarters: Atlanta, GA
Founded: 2015

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