Senior Data Engineer

The Analytics Team is responsible for building and maintaining analytics tools and workflows to support the PrizePicks business across all departments. At the core of these operations is data. As a Senior Data Engineer, you will develop, maintain, test, and lead data infrastructure projects and help PrizePicks offer a scalable, reliable, and smarter data ecosystem for faster data-driven decisions.

• Enhance the capabilities of our existing Core Data platforms and develop new integrations with both internal and external APIs within the Data organization.
• Proven experience in designing and implementing both real-time and batch data ingestion frameworks, with a strong focus on data modeling, ETL/ELT best practices, and maintaining high data quality and reliability.
• Skilled in managing Kubernetes-based infrastructure on Google Cloud Platform (GCP), leveraging GitOps principles with Argo CD for automated and consistent deployment workflows.
• Work closely with DevOps, architects, and engineers to ensure the success of the Core Data platform.
• Collaborate with Analytics Engineers to enhance data transformation processes, streamline CI/CD pipelines, and optimize team collaboration workflows.
• Architect and implement Infrastructure as Code (IaC) solutions to automate and streamline the deployment and management of data infrastructure. Ensure scalable, consistent configurations aligned with data engineering standards and best practices.
• Develop and manage CI/CD pipelines to automate and streamline the deployment of data solutions. Ensure that data workflows are thoroughly tested, integrated, and deployed efficiently, following best practices for version control, automation, and quality assurance.
• Experience in designing and automating data governance processes and tool integrations across complex technical environments, ensuring data protection and integrity throughout the product lifecycle and data flows.
• Ensure code is thoroughly tested, effectively integrated, and efficiently deployed, in alignment with industry best practices for version control, automation, and quality assurance.
• Serve as a Data Engineering thought leader within the broader PrizePicks technology organization by staying current with emerging technologies, implementing innovative solutions, and sharing knowledge and best practices with junior team members and collaborators.
• Provide on-call support as part of a shared rotation between the Data and Analytics Engineering teams to maintain system reliability and respond to critical issues.

• 5+ years of experience in a data Engineering, or data-oriented software engineering role creating and pushing end-to-end data engineering pipelines.
• 2+ years of experience acting as technical lead and providing mentorship and feedback to junior engineers.
• Extensive experience building and optimizing cloud-based data streaming pipelines and infrastructure.
• Extensive experience exposing real-time predictive model outputs to production-grade systems leveraging large-scale distributed data processing and model training.
• Experience in most of the following:
  • SQL/NoSQL databases/warehouses: Postgres, BigQuery, BigTable, Materialize, AlloyDB, etc
  • Replication/ELT services: Data Stream, Hevo, etc.
  • Data Transformation services: Spark, Dataproc, etc
  • Scripting languages: SQL, Python, Go.
  • Cloud platform services in GCP and analogous systems: Cloud Storage, Cloud Compute Engine, Cloud Functions, Kubernetes Engine etc.
  • Data Processing and Messaging Systems: Kafka, Pulsar, Flink
  • Code version control: Git
  • Data pipeline and workflow tools: Argo, Airflow, Cloud Composer.
  • Monitoring and Observability platforms: Prometheus, Grafana, ELK stack, Datadog
  • Infrastructure as Code platforms: Terraform, Google Cloud Deployment Manager.
  • Other platform tools such as Redis, FastAPI, and Streamlit.
• Excellent organizational, communication, presentation, and collaboration experience with organizational technical and non-technical teams
• Graduate degree in Computer Science,  Mathematics, Informatics, Information Systems or other quantitative field

• Experience building real-time production data engineering pipelines in a daily fantasy sports platform

• 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 

The typical salary range for this position is $145,000 to $200,000. 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:  May 28th, 2025

1st Extension: June 28th, 2025

2nd Extension: July 28th, 2025

3rd Extension: August 28th, 2025

4th Extension: Sept 28th, 2025