Staff Analytics Engineer

Salary

The typical salary range for this position is $160,000 to $230,000.

Location

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.

The Analytics Team empowers the PrizePicks business across all departments to make data-driven decisions by providing reliable and insightful data. As a Staff Analytics Engineer, you will be a technical leader in designing, building, and maintaining the data models and transformation pipelines that underpin our analytical capabilities. This role requires a strong focus on data quality, consistency, and the delivery of actionable insights.

What you’ll do:

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.

What you have:

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.
Experience in most of the following:
Excellent organizational, communication, presentation, and collaboration experience with organizational technical and non-technical teams
Strong experience in dimensional modeling, data warehousing, and data mart design.
Excellent ability to translate business questions into data requirements and analytical solutions.
Experience in defining and documenting data quality standards and implementing data governance principles.
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.

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