Head of Data Engineering
Nasdaq
full-time
Posted on:
Location Type: Hybrid
Location: Atlanta • United States
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Salary
💰 $132,000 - $257,000 per year
Job Level
Tech Stack
About the role
- Lead the development and delivery of production-quality datasets
- Define the vision for data engineering excellence
- Oversee the design and implementation of scalable data pipelines
- Establish standards for data quality, observability, and monitoring
- Partner with product managers, business leaders, and technology teams
- Mentor and develop a high-performing data engineering team
- Drive continuous improvement in pipeline performance and operational excellence
Requirements
- 10+ years of experience in data engineering or software engineering
- Strong technical proficiency in Python, Databricks, and distributed data processing frameworks
- Demonstrated expertise implementing observability, data validation, and monitoring solutions for production pipelines
- Proven ability to influence and align stakeholders across business and technology functions
- Experience managing teams in Agile environments
- Strong strategic judgment in balancing technical rigor, delivery timelines, and business objectives
Benefits
- 401(k) program with 6% employer match
- Employee Stock Purchase Program with 15% discount
- Student loan repayment program up to $10k
- Company paid life and disability plans
- Generous paid time off
- Comprehensive medical, dental and vision coverage
- Health spending account with employer contribution
- Paid flex days to support mental wellbeing
- Gym membership discounts
- Paid parental leave
- Fertility benefits
- Paid bereavement leave
- Company gift matching program
- Employee resource groups
- Paid volunteer days
- Education Assistance Program
- Robust job skills training and Professional development opportunities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonDatabricksdata engineeringsoftware engineeringdistributed data processing frameworksdata validationobservabilitymonitoring solutionsdata pipelinesAgile
Soft Skills
mentoringteam developmentinfluencing stakeholdersstrategic judgmentcollaborationcontinuous improvementoperational excellence