{"id":909031,"url":"https://alion.io/job/prizepicks-staff-data-platform-engineer","title":"Staff Data Platform Engineer","company":{"id":98896,"name":"PrizePicks","domain":"prizepicks.com","url":"https://alion.io/company/prizepicks","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":90,"open_postings":5,"ghost_share":0,"stale_share":0.4,"repost_share":0,"time_to_fill_p50_days":41,"computed_at":"2026-11-07T05:47:08Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Atlanta, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":200000,"max":220000,"currency":"USD","period":"year","gross":null,"usd_annual":220000},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Amazon Kinesis","optional":false},{"name":"Apache Iceberg","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"ElasticSearch","optional":false},{"name":"Flink","optional":false},{"name":"GCP","optional":false},{"name":"Go","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Google GKE","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Polaris","optional":false},{"name":"Presto","optional":false},{"name":"Python","optional":false},{"name":"Redis","optional":false},{"name":"Rest API","optional":false},{"name":"Spark","optional":false},{"name":"Trino","optional":false},{"name":"Windows","optional":false}],"status":"live","first_seen_at":"2026-09-14T14:26:15Z","employer_posted_date":"2026-09-14","last_verified_at":"2026-11-07T15:26:31Z","board_verified":true,"closed_at":null,"days_open":54,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":54},"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? \nStaff Data Platform Engineer\nAs 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.\nWhat You’ll Do\nBuild 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. \nReal-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.\nData 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%\nCross-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.\nWhat You Have\n8+ years of experience in Platform Engineering, with a proven track record of deploying and maintaining scalable Data platforms in high-traffic production environments. \nProficient in streaming architectures (Kafka/Flink/PubSub) and building low-latency services to serve stream ingestion and processing, which will serve model inference in <100ms.\nProficient with Containerization, Docker, Kubernetes and cluster level management.\nExtensive 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.\nDeep experience building a platform for managing the full Data lifecycle including setting up a data exploration environment. \nExpert in coding with Python and Go. Deep experience with Cloud services, preferred with GCP services (BigQuery, Cloud Functions, GKE) or AWS equivalents.\nExcellent communication skills, stakeholder management and outstanding problem-solving skills.\nShould have been a key contributor to projects through the entire development lifecycle from concept to release.\nWhat Makes You Stand Out\nExperience implementing data platform infrastructure while enforcing best practices for deployment of a large scale data platform. \nDesigned 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.\nBuilt internal tools for data pipeline authoring, orchestration, and AI-assisted analytics to boost developer productivity.\nEstablished policies and tooling for data quality, compliance, lineage, and secure access control.\nEnabled self-service for Data teams for pipeline development and deployment.\nBackground in Daily Fantasy Sports (DFS), oddsmaking, or high-frequency trading or similar domain expertise.\nWhere you’ll live:\nWhile 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 \nOnly include the below on remote job postings\nWorking at PrizePicks:\nThe 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 \nrecruiter will be happy to chat more about the specific pay range for your location and how we arrived at it during the hiring process. \nThis 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. \nDate Posted: 09/11/2026\nFirst Extension: 10/11/2026\nSecond Extension:11/11/2026\nBenefits you’ll receive:\nIn addition to your great compensation package, full-time employees will be eligible for the following perks: \nCompany-subsidized medical, dental, & vision plans \n401(k) plan with company match\nAnnual bonus\nFlexible PTO to encourage a healthy work/life balance (2 weeks STRONGLY encouraged!)\nGenerous paid leave programs, including 16-week paid parental leave and disability benefits\nWorkplace flexibility and modern work schedules focused on getting the job done, not hours clocked\nCompany-wide in-person events and team outings\nLifestyle enhancement program\nCompany equipment provided (Windows & Mac options)\nAnnual performance reviews with opportunities for growth and career development\nYou 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. \nPrizePicks is an Equal Opportunity Employer. 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