Data Analytics and Engineer - Remote
About the Company
PrizePicks is a sports entertainment company recognized by the Inc. 5000 as one of North America's fastest-growing companies. Its Daily Fantasy Sports platform covers a wide range of sports leagues and esports titles. With a team of more than 550 employees, PrizePicks emphasizes an inclusive culture, collaboration, and continuous growth.
About the Role
PrizePicks is seeking a Data and Analytics Engineering Manager to lead a team responsible for building and operating scalable, reliable data pipelines and high-quality analytical data products. This role combines people management, technical leadership, and cross-functional collaboration to ensure data is accurate, accessible, and trusted across the organization. Reporting through a collaborative technical environment, you will guide data engineering strategy and work closely with Product, Analytics, Infrastructure, Data Science, and Business teams. Your work will support analytics, AI initiatives, and business decision-making while improving the reliability, performance, and cost efficiency of data systems. This is a remote position open to qualified candidates throughout the United States, with a preference for candidates based in Atlanta.
Key Responsibilities
Lead, mentor, and develop a team of data engineers through regular one-on-one meetings, coaching, and performance feedback. Manage hiring, onboarding, career development, and performance reviews while building a culture of accountability, collaboration, ownership, and continuous improvement. Balance delivery commitments with sustainable engineering practices and team development. Oversee the design, development, and operation of batch and streaming data ingestion, transformation, storage pipelines, and analytical data models. Ensure data systems are reliable, scalable, performant, and cost-efficient. Establish best practices for data modeling, data quality, observability, and operational excellence. Review technical designs, guide architecture decisions, and maintain high standards for code quality. Partner with platform and infrastructure teams on tooling, security, and system scalability. Translate business and analytics requirements into scalable technical solutions and trusted datasets and metrics. Collaborate with Product, Analytics Engineering, Data Science, and Business stakeholders to deliver high-impact data solutions. Own sprint planning, prioritization, and delivery commitments while communicating progress, risks, and trade-offs to stakeholders and leadership. Establish and maintain data engineering standards, reusable patterns, and technical documentation. Support data governance, data contracts, and schema management while ensuring compliance with security, privacy, and data retention requirements.
Required Qualifications
Graduate degree in Computer Science, Mathematics, or a related quantitative field. At least 8 years of experience in Data Engineering or a related field. At least 3 years of experience leading engineers, including hiring, coaching, and accountability for delivery. Strong understanding of distributed systems, including scalability, reliability, and data correctness. Hands-on programming experience in Python and/or Java, with the ability to review code and resolve technical blockers. Proficiency in SQL and at least one programming language, such as Python, Java, or Scala. Experience with cloud data platforms, including GCP, AWS, or Azure. Experience with data orchestration tools such as Airflow or Argo. Strong understanding of data modeling, ETL/ELT patterns, and data reliability. Experience with streaming technologies such as Kafka, Flink, or Spark Streaming. Experience with modern data warehouses or lakehouses, such as BigQuery, Snowflake, Redshift, or Iceberg. Familiarity with analytics engineering tools, including dbt and semantic layers. Exposure to data governance, observability, and data quality tools. Strong ownership and problem-solving skills, including the ability to turn ambiguous challenges into reliable, long-term solutions. Demonstrated ability to mentor engineers, develop talent, and maintain high standards for quality, correctness, and operational reliability.
Preferred Qualifications
Experience with Google Cloud Platform (GCP), which is the preferred cloud ecosystem. Experience developing and operating large-scale distributed data systems. Ability to establish engineering standards and improve data infrastructure across teams. Salary & Benefits The typical annual salary range for this position is $215,000–$235,000 USD . The final offer will depend on factors such as work location, role level, skills, experience, and education. The recruitment team can provide further details about the applicable salary range during the hiring process. Full-time employees are eligible for the following benefits: Company-subsidized medical, dental, and vision insurance. 401(k) retirement plan with company matching. Annual bonus opportunities. Flexible paid time off, with employees strongly encouraged to take at least two weeks. Paid leave programs, including 16 weeks of paid parental leave, and disability benefits. Flexible work arrangements and modern schedules focused on outcomes. Company-wide in-person events and team outings. Lifestyle enhancement program. Company-provided equipment, with Windows and Mac options. Annual performance reviews and opportunities for career development. Work Authorization & Equal Opportunity Applicants must be authorized to work for any employer in the United States. PrizePicks is unable to sponsor or assume sponsorship of employment visas at this time. PrizePicks is an equal opportunity employer. All applicants are considered without discrimination based on race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability, or other protected characteristics.