Manager, Data Analytics and Engineering
PrizePicks is looking for a Data and Analytics Engineering Manager to lead a team responsible for building and operating scalable, reliable, and high-quality data engineering pipelines that produce analytical data products. This role requires a blend of people leadership, technical stewardship, and cross-functional collaboration to ensure data is trusted, accessible, and delivered in support of analytics, AI, and business decision-making.
The manager will set technical direction and partner closely with product, analytics, infrastructure, and business stakeholders to deliver high-impact data solutions. The position focuses on balancing delivery expectations with sustainable team practices while ensuring the reliability, scalability, and performance of data systems.
- 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 a culture of accountability, ownership, collaboration, and continuous improvement.
- Balance delivery expectations with sustainable team practices.
- Own the design, development, and operation of data ingestion, transformation, and storage pipelines.
- 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 clearly 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.
- Graduate degree in Computer Science, Mathematics, or a related quantitative field (required).
- 8+ years of experience in Data Engineering or related roles (required).
- 3+ years leading engineers, including hiring, coaching, and delivery accountability (required).
- Strong distributed systems fundamentals, including scaling, reliability, and data correctness (required).
- Hands-on ability in Python and/or Java (required).
- Experience with cloud data ecosystems, specifically GCP (preferred), AWS, or Azure (required).
- Proficiency with SQL and at least one programming language such as Python, Java, or Scala (required).
- Experience with orchestration tools like Airflow or Argo (required).
- Solid understanding of data modeling, ETL/ELT patterns, and data reliability (required).
- Experience with streaming technologies such as Kafka, Flink, or Spark Streaming (required).
- Experience with modern data warehouses or lakehouses like BigQuery, Snowflake, Redshift, or Iceberg (required).
- Familiarity with analytics engineering tools like dbt or semantic layers (required).
- Exposure to data governance, observability, and data quality tooling (required).
- Self-starter with a focus on driving ambiguous problems to durable solutions (required).
- Ability to build and grow teams through mentoring and talent development (required).
- Quality-first mindset with a focus on operability, correctness, and reliability (required).
- Company-subsidized medical, dental, and vision plans.
- 401(k) plan with company match.
- Annual bonus.
- Flexible PTO to encourage a healthy work/life balance.
- Generous paid leave programs, including 16-week paid parental leave and disability benefits.
- Workplace flexibility and modern work schedules.
- Company-wide in-person events and team outings.
- Lifestyle enhancement program.
- Company equipment provided with Windows and Mac options.
- Annual performance reviews with opportunities for growth and career development.
PrizePicks is a daily fantasy sports operator headquartered in Atlanta, Georgia. Its app lets players predict whether athletes will beat or fall short of projected statistics, and it has added prediction-market contracts regulated by the US Commodity Futures Trading Commission. In January 2026 the lottery and gaming group Allwyn completed the purchase of a 62.3% majority stake, with PrizePicks continuing as a standalone brand.