Lead Data Engineer Job at AirOps (New York City)

Lead Data Engineer

AirOps

Location:
United States , New York City ▼
San Francisco

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

As Lead Data Engineer, you will own and scale the data platform that powers AirOps insights on AI search visibility and content performance. You will set technical direction, write production code, and build a small, high-output team that turns raw web, content, and AI agent data into trustworthy datasets. Your work will drive customer-facing analytics and product features while giving our content and growth teams a clear path from strategy to execution.

Job Responsibility:

Data platform ownership: design, build, and operate batch and streaming pipelines that ingest data from crawlers, partner APIs, product analytics, and CRM
Core modeling: define and maintain company-wide models for content entities, search queries, rankings, AI agent answers, engagement, and revenue attribution
Orchestration and CI: implement workflow management with Airflow or Prefect, dbt-based transformations, version control, and automated testing
Data quality and observability: set SLAs, add tests and data contracts, monitor lineage and freshness, and lead root cause analysis
Warehouse and storage: run Snowflake or BigQuery and Postgres with strong performance, cost management, and partitioning strategies
Semantic layer and metrics: deliver clear, documented metrics datasets that power dashboards, experiments, and product activation
Product and customer impact: partner with Product and Customer teams to define tracking plans and measure content impact across on-site and off-site channels
Tooling and vendors: evaluate, select, and integrate the right tools for ingestion, enrichment, observability, and reverse ETL
Team leadership: hire, mentor, and level up data and analytics engineers
establish code standards, review practices, and runbooks

Requirements:

5+ years in data engineering with 2+ years leading projects
Expert SQL and Python with deep experience building production pipelines at scale
Hands-on with dbt and a workflow manager such as Airflow or Prefect
Strong background in dimensional and event-driven modeling and a company-wide metrics layer
Experience with Snowflake or BigQuery, plus Postgres for transactional use cases
Track record building data products for analytics and customer reporting
Cloud experience on AWS or GCP and infrastructure as code such as Terraform

Nice to have:

Domain experience in SEO, content analytics, or growth experimentation is a plus
Clear communicator with a bias for action, curiosity, and a high bar for quality

What we offer:

Equity in a fast-growing startup
Competitive benefits package tailored to your location
Flexible time off policy
Parental Leave
A fun-loving and (just a bit) nerdy team that loves to move fast!

Additional Information:

Job Posted:
February 18, 2026

Employment Type:

Fulltime

Work Type:

Hybrid work

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