Data Engineering Manager

In this role you lead a data engineering team to deliver scalable data pipelines, platforms, and products that support analytics, data science, and operational needs. You bridge hands-on technical work with people leadership, guiding architecture reviews, mentoring engineers, and collaborating with product and analytics partners. You will drive reliable data systems while fostering a collaborative, high-performance culture. This role offers impact across data delivery, governance, and cross-functional collaboration within FanDuel Group’s data-focused initiatives.

• Flexible vacation
• Mentorship and professional development resources
• Insurance and paid leave policies
• Competitive compensation
• Opportunities to build products fans love
• Team-focused, growth-oriented culture

• Lead and mentor a team of data engineers through coaching and technical guidance
• Oversee design and implementation of scalable data pipelines and data products
• Review architecture and code, providing hands-on input when needed
• Ensure high-quality, reliable solutions aligned with business goals and engineering best practices
• Collaborate with product managers, data scientists, analysts, and stakeholders to translate requirements into actionable plans
• Promote operational stability with monitoring, alerts, incident response, and data quality governance
• Drive continuous improvement in development workflows and team productivity

• 6+ years in data or software engineering
• 1–2+ years in a leadership or mentorship role
• Strong experience with data pipelines and platforms using Spark, dbt, Airflow, Kafka, or Databricks
• Proficiency in Python, Scala, or Java and SQL
• Experience with cloud data platforms (AWS, GCP, or Azure)
• Experience with behavioural analytics tools and data (e.g., Snowplow, Amplitude, or Google Analytics)
• Strong communication and cross-team collaboration skills

• communication
• collaboration
• leadership
• Spark
• dbt
• Airflow