Data Engineering Manager: Lead Scalable Pipelines

FanDuel; New York (NY); Hybrid; USD 149,000 - 186,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Dental & Vision insurance

Paid time off + holidays

Job summary

FanDuel is seeking a Data Engineering Manager to lead a team of data engineers in building high-quality, scalable data products and infrastructure. This hybrid role blends people management with technical delivery, mentoring engineers, guiding solution design, and collaborating across teams to support analytics, data science, and operational needs.

The role suits an experienced data engineer or tech lead stepping into engineering management, who enjoys hands-on support with strategic execution

Qualifications

• 6+ years of experience in data engineering or software engineering, with at least 1–2 years in a team leadership or mentorship role.
• Strong technical background in building and maintaining data pipelines and platforms using tools like Spark, dbt, Airflow, Kafka, or Databricks.
• Proficiency in SQL and one or more programming languages (e.g., Python, Scala, or Java).
• Experience with cloud data platforms (e.g., AWS, GCP, or Azure).
• Strong communication and collaboration skills with a passion for working across teams.

Responsibilities

• Lead a team of data engineers through coaching, mentorship, and technical guidance.
• Support individual career development and performance feedback, creating growth opportunities for your team.
• Foster a collaborative, inclusive, and high-performance team culture.
• Guide the design and implementation of scalable data pipelines, platforms, and data products.
• Review architecture and code, provide technical direction, and help resolve complex engineering challenges by being hands-on when needed.
• Ensure delivery of high-quality, reliable solutions aligned with business goals and engineering best practices.
• Partner with product managers, data scientists, analysts, and business stakeholders to understand requirements and prioritize work.
• Translate business needs into actionable engineering detailed plans and ensure timely delivery of key projects.
• Communicate clearly across technical and non-technical teams to align on priorities and progress.
• Promote operational stability and reliability of data pipelines and systems through monitoring, alerting, and incident response.
• Advocate for high standards in data quality, governance, and compliance by collaborating with platform and data governance teams.
• Drive continuous improvement in development workflows and team productivity.

Skills

Data engineering

Team leadership

SQL

Python

Tools

Spark

dbt

Airflow

Kafka

Databricks

Job description

FanDuel is seeking a Data Engineering Manager to lead a team of data engineers in building high-quality, scalable data products and infrastructure. This hybrid role blends people management with technical delivery, mentoring engineers, guiding solution design, and collaborating across teams to support analytics, data science, and operational needs.

The role suits an experienced data engineer or tech lead stepping into engineering management, who enjoys hands-on support with strategic execution