Note: The job is a remote job and is open to candidates in USA. PrizePicks is hiring a Data and Analytics Engineering Manager to lead a team building and operating reliable, scalable data pipelines and analytical data products. The role combines team leadership and technical direction with cross-functional delivery, data governance, and support for analytics, AI, and business decision-making.
Responsibilities
- 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, storage pipelines (batch and streaming), and analytical model(s)
- 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
Skills
- 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** (can dive into code and unblock delivery)
- 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
- **Self-starter + ownership:** drives ambiguous problems to durable solutions
- **Builds and grows teams:** mentors, raises the bar, and develops talent
- **Quality-first:** designs for operability, correctness, and reliability from day one
- You must be authorized to work for any employer in the U.S
- We are unable to sponsor or take over sponsorship of an employment Visa at this time
- Experience with cloud data ecosystems (GCP - Preferred, AWS, or Azure)
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
Company Overview