Data & Analytics Engineering Manager — Lead Scalable Data Pipelines

PrizePicks; Atlanta (GA); Remote; USD 215,000 - 235,000; Full time

Benefits offered by this job

Medical, dental & vision plans

401(k) plan with company match

Annual bonus

Flexible PTO

Parental leave

Job summary

PrizePicks is seeking a Data and Analytics Engineering Manager to lead a team building scalable, reliable data pipelines and analytical data products. You’ll partner with Product, Analytics, and Infrastructure to ensure trusted datasets for analytics and decision-making.

You will hire, mentor, and develop engineers, own technical direction, and drive best practices across data ingestion, processing, and storage while balancing cost, reliability, and speed.

Qualifications

• 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).
• Strong distributed systems fundamentals (scaling, reliability).
• Hands-on ability in Python and/or Java (able to dive into code).
• 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.).
• 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

• Lead, mentor, and develop a team of Data Engineers.
• Own hiring, onboarding, career development, and performance management for the team.
• Foster a culture of accountability, ownership, collaboration, and continuous improvement.
• Own the design, development, and operation of data ingestion, transformation, storage pipelines (batch and streaming).
• 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

Distributed systems

SQL

Data modeling

Data quality

Education

Graduate degree in CS/Math/related field

Tools

GCP

AWS

Azure

Airflow

Kafka

Job description

PrizePicks is seeking a Data and Analytics Engineering Manager to lead a team building scalable, reliable data pipelines and analytical data products. You’ll partner with Product, Analytics, and Infrastructure to ensure trusted datasets for analytics and decision-making.

You will hire, mentor, and develop engineers, own technical direction, and drive best practices across data ingestion, processing, and storage while balancing cost, reliability, and speed.