Data Engineering & Analytics Leader

PrizePicks; Oregon; Hybrid; USD 215,000 - 235,000; Full time

Benefits offered by this job

Medical/dental/vision plans

401(k) match

Annual bonus

Flexible PTO

Parental leave

Remote-friendly culture

Equipment provided (Windows & Mac)

Job summary

PrizePicks, a fast-growing sports tech company, is hiring a Data and Analytics Engineering Manager in the United States. You will lead a team of data engineers, set technical direction, and partner with Product, Analytics, and Infrastructure to deliver scalable data solutions for analytics, AI, and business decisions.

You will drive hiring, coaching, and performance, ensuring reliability and cost efficiency of pipelines, while fostering a culture of accountability and continuous improvement.

Qualifications

• 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.

Responsibilities

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

Python

Java

SQL

Data modeling

ETL/ELT

Observability

Airflow

Kafka

BigQuery

Snowflake

Redshift

dbt

Education

Graduate degree in Computer Science, Mathematics, or related quantitative field

Tools

Airflow

Argo

Kafka

Flink

Spark Streaming

BigQuery

Snowflake

Redshift

Iceberg

dbt

Job description

PrizePicks, a fast-growing sports tech company, is hiring a Data and Analytics Engineering Manager in the United States. You will lead a team of data engineers, set technical direction, and partner with Product, Analytics, and Infrastructure to deliver scalable data solutions for analytics, AI, and business decisions.

You will drive hiring, coaching, and performance, ensuring reliability and cost efficiency of pipelines, while fostering a culture of accountability and continuous improvement.