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Adelaide

Lead Data Engineer

Posted 18 hours ago
$88525 per year
5-10 years experience
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AI Summary

The Lead Data Engineer is responsible for designing, building, and maintaining reliable data pipelines and infrastructure to support SaaS analytics. They will supervise a team member and ensure the security, quality, and performance of data flowing from various sources.




Position overview

This position reports to the Director of Engineering, DevOps & Data Engineering and is responsible for the design, reliability, and performance of Adelaide's data pipelines and data infrastructure. The role supervises one Data Engineer.

In this role, you'll work with a team of data engineers and data scientists to structure and maintain the network of data that flows from internal and external sources into our SaaS analytics dashboard and connected platforms.


This role is based in New York, NY, with flexible work options.

Base salary: $88,525/yr


What you'll learn

An important part of our culture is continuous learning and the open sharing of ideas. We offer:

  • Access to a broad network of investors and advisors who can help you and your team succeed
  • Mentorship from executives with decades of experience in adtech and media
  • Regular internal knowledge-sharing sessions
  • An education budget to support ongoing professional growth and development

Core responsibilities

  • Structure a sophisticated network and pipeline of data across internal and external sources
  • Maintain a high degree of uptime for our SaaS analytics dashboard and connected platforms
  • Work with other team members to design, build, deploy, and maintain reliable data pipelines
  • Maintain and optimize existing data pipelines and integrations
  • Optimize our data stores for fast, efficient querying to support technology and reporting needs
  • Ensure the quality, reliability, and security of our data infrastructure

What you'll bring

  • Bachelor's degree in Computer Science
  • Proficiency in Python, Redshift, Postgres, SQL, Spark, Scala, and Airflow
  • Experience with the Pandas library and Docker
  • Familiarity with AWS technologies such as ECS, S3, Kinesis, Redshift, and EMR
  • Strong understanding of data structures and algorithms
  • Experience with machine learning
  • Passion for delivering high-quality, reliable data solutions

What will set you apart - OPTIONAL

  • Experience in ad tech, measurement, or verification
  • Experience with high-throughput or near-real-time data pipelines
  • Experience with Snowflake or Looker





Benefits

Health & Wellness

  • Medical, dental, and vision insurance
  • Paid time off
  • Parental leave
  • Employee development & wellness stipend 
  • Holiday break
  • Volunteer time off

Financial & Compensation

  • Competitive salary
  • Performance-based quarterly bonus
  • Stock options
  • 401(k) retirement plan

Workplace & Equipment

  • Remote-first environment
  • New York office access
  • Access to available WeWork spaces 





Equal Employment Opportunity (EEO) Statement

Adelaide is proud to be an Equal Opportunity Employer, committed to fostering a diverse, equitable, and inclusive workplace where all employees can thrive. We consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other legally protected status.

Our commitment to equal opportunity employment extends beyond basic compliance to encompass the active cultivation of a workplace that values different perspectives, backgrounds, and experiences.

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