Senior Analytics Engineer - job 1 of 2

This position is posted by Jobgether on behalf of PrizePicks. We are currently looking for a Senior Analytics Engineer in Georgia (USA).

Join a fast-scaling tech company transforming the sports and entertainment space through data. In this role, you’ll play a central part in designing, building, and maintaining the data models and transformation pipelines that drive decisions across all business units. You’ll collaborate cross-functionally to ensure the quality, accessibility, and performance of analytics-ready data, and you'll be a key voice in shaping data governance and best practices. This position blends deep technical ownership with strategic influence and mentorship opportunities, all within a dynamic and inclusive remote-first environment.

Accountabilities:

• Build and optimize robust data pipelines and transformation workflows, ensuring data accessibility, consistency, and quality for analytics use cases.
• Partner with BI and engineering teams to design and implement dbt models and reusable logic that power dashboards and business reporting.
• Define and maintain data quality checks and validation processes to guarantee the accuracy and reliability of analytics outputs.
• Develop and manage CI/CD pipelines to streamline the deployment of data solutions, following best practices for testing, version control, and automation.
• Create and maintain comprehensive documentation around data models, transformation logic, and key business metrics.
• Collaborate with cross-functional stakeholders to translate business needs into scalable data models and actionable insights.
• Champion data governance practices such as data lineage and cataloging to improve data discoverability and trust.
• Mentor junior engineers and act as a thought leader within the analytics engineering function, staying ahead of emerging technologies and methodologies.
• Participate in the on-call support rotation shared across the analytics and data engineering teams.

• 5+ years of experience in analytics engineering, data engineering, or a similar role focused on building end-to-end data pipelines.
• 1+ years of experience as a technical lead, with a demonstrated ability to mentor and support junior engineers.
• Advanced degree or equivalent experience in a quantitative field (e.g., Computer Science, Statistics, Engineering, Business Analytics).
• Strong proficiency with dbt, SQL, and data modeling concepts including dimensional modeling and data warehousing principles.
• Hands-on experience with modern data platforms such as BigQuery, Snowflake, Redshift, Postgres, and cloud storage solutions.
• Proficiency in Python and experience with Git, CI/CD practices, and orchestration tools like Airflow or Argo Workflows.
• Familiarity with ELT/ETL tools (e.g., Dataform, Hevo, Segment) and customer data platforms.
• Experience with BI tools (e.g., Looker, Tableau) and a proven ability to communicate effectively with both technical and non-technical teams.
• Solid understanding of data governance, including data lineage, quality standards, and documentation best practices.
• Bonus: background in the fantasy sports or gaming industry, or experience working in a high-volume, analytics-focused environment.

• Salary range: $90,000 to $190,000, depending on location, experience, and level.
• Company-subsidized medical, dental, and vision insurance plans.
• 401(k) plan with company match.
• Annual performance-based bonus.
• Flexible PTO, with at least 2 weeks strongly encouraged.
• 16-week paid parental leave and disability benefits.
• Remote-first flexibility with modern, results-oriented work schedules.
• Lifestyle enhancement program and wellness support.
• Company-provided equipment (Windows or Mac options).
• Annual performance reviews with clear growth and career development opportunities.
• Regular company-wide events and team outings.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

This process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.
Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

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