Lead Data Engineer

If you were part of our team, here are some things you would have done last week:

• 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:

We believe in equal pay for equal work, and transparency in compensation is a core value. Total compensation for this role is market competitive, including a 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. Please be aware that a candidates experience level and geographic location will be used to determine a competitive base salary. The higher end of this range is applicable to experienced candidates in the New York metro and Bay Area.

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