Data Engineering Manager: Lead Teams & Scalable Pipelines

Doist; Atlanta (GA); Hybrid; USD 149,000 - 186,000; Full time

Benefits offered by this job

Health insurance

401k matching

Paid time off

Job summary

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

The role blends hands-on work with leadership, requiring strong communication across technical and non-technical partners.

Qualifications

• 6+ years in data engineering or software engineering.
• 1–2 years in leadership or mentorship roles.
• Strong SQL and at least one programming language (Python/Scala/Java).

Responsibilities

• Lead a team of data engineers through coaching and mentorship.
• Support career development and performance feedback.
• Foster a collaborative, high-performance culture.
• Guide scalable data pipelines, platforms, and data products design.
• Partner with product managers, data scientists, analysts, and stakeholders.
• Ensure reliable data systems with monitoring and incident response.

Skills

Leadership

Mentorship

Cross-functional collaboration

Data engineering

SQL expertise

Tools

Spark

dbt

Airflow

Kafka

Databricks

Python

Scala

Java

AWS

GCP

Azure

Job description

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

The role blends hands-on work with leadership, requiring strong communication across technical and non-technical partners.