Senior Data Engineer @ PrizePicks | Jobright.ai
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PrizePicks · 1 day ago

Senior Data Engineer

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Fantasy SportsGaming
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Growth Opportunities
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Responsibilities

Enhance the capabilities of our existing Core Data platforms and develop new integrations with both internal and external APIs within the Data organization.
Demonstrated expertise in developing real-time and batch frameworks for data ingestion pipelines, utilizing best practices in data modeling, ETL/ELT processes, and ensuring data reliability.
Design and implement complex data pipelines and transformation logic in Python, GO and build and maintain dbt models to ensure high-quality data processing.
Work closely with DevOps, architects, and engineers to ensure the success of the Core Data platform.
Guide teams in implementing and maintaining comprehensive monitoring, alerting, and documentation practices, and coordinate with Engineering teams to ensure continuous feature availability.
Design and oversee Infrastructure as Code (IaC) solutions to automate and enhance the deployment and management of data infrastructure. Ensure that configurations are consistent, scalable, and adhere to data engineering 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.
Serve as a Data Engineer 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.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data EngineeringPythonCloud Platform ServicesSQL/NoSQL DatabasesInfrastructure as CodeData GovernanceCI/CD PipelinesMonitoring PlatformsData Pipeline ToolsGoRustGitRedisFastAPIStreamlit

Required

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, Materialise etc.
Experience in most of the following: Replication Services: Data Stream, Hevo, Data Proc etc.
Experience in most of the following: Scripting languages: SQL, Python, Go, Rust.
Experience in most of the following: Cloud platform services in GCP and analogous systems: Cloud Storage, Cloud Compute Engine, Cloud Functions, Kubernetes Engine etc.
Experience in most of the following: Code version control: Git.
Experience in most of the following: Data pipeline and workflow tools: Prefect, Airflow, Cloud Composer, Serverless Framework.
Experience in most of the following: Monitoring and Observability platforms: Datadog, ELK stack.
Experience in most of the following: Infrastructure as Code platforms: Terraform, Google Cloud Deployment Manager, Ansible.
Experience in most of the following: Other platform tools such as Redis, FastAPI, and Streamlit.
Excellent organizational, communication, presentation, and collaboration experience with organizational technical and non-technical teams.

Preferred

Experience building real-time production data engineering pipelines in a daily fantasy sports platform.
Graduate degree in Computer Science, Mathematics, Informatics, Information Systems or other quantitative field.

Benefits

Company-subsidized medical, dental, & vision plans
401(k) plan with company match
Long-term incentives and bi-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

Company

PrizePicks

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PrizePicks is a Daily Fantasy Sports (DFS) platform that covers sports betting in a wide variety of leagues.

Funding

Current Stage
Growth Stage
Total Funding
$0.85M
Key Investors
Atlanta UnitedParlay Capital Holdings
2023-03-23Corporate Round· Undisclosed
2021-12-01Series Unknown· Undisclosed
2020-07-08Series Unknown· $0.85M

Leadership Team

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Adam Wexler
Chief Executive Officer and Co-Founder
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Jay Deuskar
Co-Founder and CTO
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Company data provided by crunchbase
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