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Staff Analytics Engineer
| Company | PrizePicks |
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| Location | Atlanta, GA, USA |
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| Salary | $160000 – $230000 |
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| Type | Full-Time |
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| Degrees | Master’s |
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| Experience Level | Senior, Expert or higher |
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Requirements
- 7+ years of experience in a Data Engineering, or data-oriented software engineering role creating and pushing end-to-end data engineering pipelines.
- Graduate degree in a quantitative field: Computer Science, Mathematics, Statistics, Business Analytics, Engineering) or equivalent experience.
- 3+ years of experience acting as technical lead and providing mentorship and feedback to junior engineers.
- Experience building and optimizing data pipelines for analytics, with a focus on data transformation and modeling.
- Experience in integrating data from various sources to support analytical needs, including familiarity with data warehousing principles and ELT processes.
Responsibilities
- Partner with Data Engineering to build and optimize robust data pipelines that ensure data accessibility and reliability.
- Collaborate with Business Intelligence to implement crucial business logic that powers BI dashboards, directly impacting key business decisions and providing broad organizational exposure.
- Demonstrated expertise in designing and implementing data transformation workflows using best practices in data modeling, ELT processes, and ensuring data quality and consistency for analytical use cases.
- Design and implement complex data transformation logic primarily in SQL with a focus on creating reusable data models that support various analytical needs.
- Build and maintain dbt models to ensure data accuracy, consistency, and reliability.
- Collaborate with data engineers, data analysts, and business stakeholders to understand data requirements, define key metrics, and deliver actionable insights through data models and reporting solutions.
- Define and implement data quality checks and validation processes to ensure the accuracy and reliability of data used for analysis.
- Develop comprehensive documentation of data models, data dictionaries, and transformation logic to facilitate data understanding.
- 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 defining and implementing data governance principles, such as data lineage and data cataloging, to improve data discoverability, usability, and trust for analytical purposes.
- Serve as an Analytics Staff Engineer within the broader PrizePicks technology organization by staying current with emerging analytical techniques, data modeling best practices, and analytics engineering trends.
- Mentor junior team members and promote a data-driven culture.
- On-call rotation support, the on-call is shared across the Analytics and Data Engineering teams.
Preferred Qualifications
- Preferred: experience in a daily fantasy sports platform or a similar data-intensive analytical environment, with a proven track record of delivering impactful data insights.
