Data Engineering Manager

FanDuel • Atlanta, GA

3h • $149,000 - $186,000 • Hybrid

About The Position

Our roster has an opening with your name on it
We are seeking a Data Engineering Manager to lead a team of data engineers in building high-quality, scalable data products and infrastructure. In this hybrid role, you’ll balance people management with technical delivery—mentoring engineers, guiding solution design, and collaborating across teams to deliver data systems that support analytics, data science, and operational needs.
This role is ideal for an experienced data engineer or tech lead who is ready to take the next step into engineering management and enjoys blending hands-on support with strategic execution.
If you’re excited by this challenge and want to work within a dynamic company, then we’d love to hear from you.
In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs.

Requirements

• 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.

Nice To Haves

• Prior experience in a people management or tech lead role within a data engineering or analytics team
• Familiarity with machine learning workflows, data observability, and streaming architectures
• Experience working in a product-driven, customer-focused organization
• Understanding of data privacy, security, and compliance frameworks

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

Benefits

• Health plans to choose from (some as low as $0 per paycheck)
• Programs for fertility and family planning
• Mental health support
• Fitness benefits
• Generous paid time off (PTO & sick leave)
• Annual bonus and long-term incentive opportunities (based on performance)
• 401k with up to a 5% match
• Commuter benefits
• Pet insurance
• Medical, vision, and dental insurance
• Life insurance
• Disability insurance
• 401(k) matching program
• Short-term or long-term incentive compensation, including cash bonuses and stock program participation
• Paid personal time off
• 14 paid company holidays
• Paid sick time in accordance with all applicable state and federal laws

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed