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Lead Data Engineer

170k – 210kNew York, NYData EngineeringRemote
Summary

Leads design and implementation of scalable data pipelines using dbt, Airflow, and SQL. Mentors data engineers, optimizes AWS infrastructure with Terraform, and builds integrations with MySQL/SQL Server/OLAP for analytics. Requires strong SQL/Python and production pipeline expertise.

About the role

What You'll Do

  • Mentored fellow data engineers through code reviews, architectural decisions, and technical planning sessions
  • Led the design and implementation of scalable, secure data pipelines using dbt, Apache Airflow, and SQL
  • Collaborated with Product Managers to launch new customer-facing analytics capabilities
  • Partnered with DevOps to optimize cloud infrastructure with Terraform and AWS-managed services
  • Built and maintained integrations with MySQL, SQL Server, and OLAP systems to support product insights and internal operations
  • Participated in our on-call rotation to ensure platform reliability and performance
  • Contributed to the hiring, onboarding, and professional development of the Data Engineering team
  • Explored and evaluated new tools—including AI-assisted coding platforms like Claude and Windsurf—to improve engineering workflows

What You'll Need

  • Strong proficiency in SQL and Python
  • Hands-on experience with AWS infrastructure and data services
  • Familiarity with MySQL, SQL Server, and OLAP databases
  • Experience using Terraform or other infrastructure-as-code tools
  • Expertise in modern data tooling, particularly dbt and Apache Airflow
  • Operating reliable and performant pipelines in production environments
  • Building data platforms that support both internal stakeholders and external customers

Compensation

Target base annual salary range of $170,000 - $210,000, plus bonus opportunity, company stock options, and a full benefits package, including health insurance, paid time off, and a 401k.

Skills
SQLPythonAWSdbtApache AirflowTerraformMySQLSQL ServerOLAP
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