Data Engineering Lead

seerinteractive; Stati Uniti; Remoto; USD 140.000 - 160.000; Tempo pieno

Vantaggi offerti da questo lavoro

Office in Philadelphia

Remote-first

Descrizione del lavoro

Seer Interactive seeks a leader to steer the data platform’s technical direction, shaping architecture and the shared data foundation while building practical AI agents to automate repetitive analytics work.

You will combine hands-on platform ownership with technical leadership, mentoring engineers and making sound design decisions to advance capabilities across data systems.

Competenze

• Strong data engineering experience and ability to explain architectural decisions.
• Ability to build and operate data platforms and pipelines end to end.
• Practical interest in applying AI and agents to improve engineering workflows.
• Strong judgment prioritizing technical improvements amid competing needs.
• Communication and mentoring skills to guide colleagues without formal authority.
• Comfortable adapting to changing tools and managing multiple priorities.

Mansioni

• Define platform architecture, engineering standards, and the direction of data systems.
• Own data pipelines, models, and platform improvements from design through operation.
• Create and maintain agent-based workflows that automate recurring data and BI tasks.
• Build a governed semantic layer so analysts, strategists, and language models can use consistent data.
• Improve existing workflows and systems, including refactoring pipelines and complex queries.
• Mentor engineers through code review, pairing, and project guidance.

Conoscenze

Data engineering experience

Architectural decisions

End-to-end data platforms

AI/agents in workflows

Mentoring & communication

Descrizione del lavoro

Role overview

Lead the technical direction and ongoing development of a data platform that supports analytics and AI products. You’ll shape its architecture and shared data foundation, while building practical AI agents to reduce repetitive engineering and business intelligence work. The role combines hands-on platform ownership with technical leadership through mentoring and sound design decisions.

Responsibilities

• Define platform architecture, engineering standards, and the direction of data systems.
• Own data pipelines, models, and platform improvements from design through operation.
• Create and maintain agent-based workflows that automate recurring data and BI tasks.
• Build a governed semantic layer so analysts, strategists, and language models can use consistent data.
• Improve existing workflows and systems, including refactoring pipelines and complex queries.
• Mentor engineers through code review, pairing, and project guidance.

Requirements

• Strong data engineering experience and the ability to make and explain architectural decisions.
• Ability to build and operate data platforms and pipelines end to end.
• Practical interest in applying AI and agents to improve engineering workflows.
• Strong judgment when prioritizing technical improvements and responding to competing needs.
• Communication and mentoring skills, including the ability to guide colleagues without relying on formal authority.
• Comfortable adapting to changing tools, context-switching, and managing multiple priorities.

Benefits and work setup

Remote-first role for candidates based in the United States who can work continental US hours; an office option is available in Philadelphia. Listed annual compensation is $140,000–$160,000, with the offer based on skills and experience and compensation reviewed at least annually.