Manager, Data Analytics and Engineering

🔥 13 hours ago

🇺🇸 United States – Remote

💵 $215k - $235k / year

⏰ Full Time

🟠 Senior

🔴 Lead

📉 Data Analyst

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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PrizePicks

WebsiteLinkedInAll Job Openings

201 - 500 employees

🎮 Gaming

⚽ Sports

Gaming • Sports

PrizePicks is an innovative platform that offers a dynamic and interactive way to engage in daily fantasy sports and esports. Users can make predictions on player performances across various sports, including NFL, NBA, MLB, CFB, and more, with the opportunity to win up to 1000x their entry fee. PrizePicks operates legally in 43 U. S. states, Washington D. C. , and Canada, providing a wide range of betting options, including Pick 'Em and Pick 'Em Arena, where users compete against each other for cash rewards. The company emphasizes user engagement with features such as recurring promos and the Streak game, which is free to play and allows participants to earn by building daily win streaks. PrizePicks ensures secure transactions and fast payouts, enhancing user experience and satisfaction in the sphere of real money sports betting.

📋 Description

• Lead, mentor, and develop a team of Data Engineers through regular 1:1s, coaching, and performance feedback • Own hiring, onboarding, career development, and performance management for the team • Foster accountability, ownership, collaboration, and continuous improvement • Balance delivery expectations with sustainable team practices • Own the design, development, and operation of batch and streaming data ingestion, transformation, storage pipelines, and analytical models • Ensure reliability, scalability, performance, and cost efficiency of data systems • Drive best practices in data modeling, data quality, observability, and operational excellence • Review and guide technical designs, architecture decisions, and code quality • Partner with platform and infrastructure teams on tooling, security, and scalability • Translate business and analytics requirements into scalable technical solutions • Partner with Product, Analytics Engineering, Data Science, and Business teams to deliver trusted datasets and metrics • Own sprint planning, prioritization, and delivery commitments • Communicate progress, risks, and tradeoffs to stakeholders and leadership • Establish and enforce data engineering standards, patterns, and documentation • Support data governance, data contracts, and schema management • Ensure compliance with security, privacy, and data retention requirements

🎯 Requirements

• A graduate degree in Computer Science, Mathematics, or a related quantitative field. • 8+ years of experience in Data Engineering or related roles • 3+ years leading engineers (hiring, coaching, delivery accountability) • Strong distributed systems fundamentals (scaling, reliability, data correctness) • Hands-on ability in Python and/or Java • Experience with cloud data ecosystems (GCP - Preferred, AWS, or Azure) • Proficiency with SQL and at least one programming language (Python, Java, or Scala) • Experience with orchestration tools (Airflow, Argo, etc.) • Solid understanding of data modeling, ETL/ELT patterns, and data reliability • Experience with streaming technologies (Kafka, Flink, Spark Streaming) • Experience with modern data warehouses / lakehouses (BigQuery, Snowflake, Redshift, Iceberg) • Familiarity with analytics engineering tools (dbt, semantic layers) • Exposure to data governance, observability, and data quality tooling • Must be authorized to work for any employer in the U.S.; employment visa sponsorship is unavailable

🏖️ Benefits

• Company-subsidized medical, dental, & vision plans • 401(k) plan with company match • 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