Manager, Data Analytics and Engineering

About the role

At PrizePicks, we are the fastest-growing sports company in North America, as recognized by Inc. 5000. As the leading platform for Daily Fantasy Sports, we cover a diverse range of sports leagues, including the NFL, NBA, and Esports titles like League of Legends and Counter-Strike. Our team of over 550 employees thrives in an inclusive culture that values individuals from diverse backgrounds, regardless of their level of sports fandom. Ready to reimagine the DFS industry together?

We are 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 producing analytical data products. This role blends 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.

What you’ll do:

You will manage a team of data engineers, set technical direction, and partner closely with Product, Analytics, Infrastructure, and Business stakeholders to deliver high-impact data solutions.

People & Team Leadership

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

Technical & Delivery Ownership

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

Execution & Stakeholder Collaboration

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

Governance & Standards

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

What you have:

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).

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

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.

Where you’ll live:

While we prefer candidates based in Atlanta, we are open to qualified applicants from anywhere in the U.S. and are willing to consider remote candidates. #LI-Remote

Working at PrizePicks:

The typical salary range for this position is $215,000 to $235,000. At PrizePicks, we consider your role, level, and where you'll be working when determining our salary ranges. The compensation info you see on our job postings gives you an idea of the starting pay range for the position. Your actual pay within that range will depend on your specific work location, as well as your skills, experience, and education. Your recruiter will be happy to chat more about the specific pay range for your location and how we arrived at it during the hiring process.

This application period will remain open for 30 days. We’re committed to finding the best candidate, so this date may be adjusted, and any changes will be reflected in this posting.

Date Posted: 10/16/26

Benefits you’ll receive:

In addition to your great compensation package, full-time employees will be eligible for the following perks:

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

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.

PrizePicks is an Equal Opportunity Employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Posting text as published by PrizePicks.

The evidence behind this listing

Workplace

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Location as listed

Atlanta, GA preferred, Remote

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Security clearance

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