AirOps · 17 hours ago
Lead Data Engineer
United States
Full-time
Remote
Senior Level, Lead/Staff
5+ years expAirOps is a pioneering company that provides an end-to-end content engineering platform to enhance brand visibility in the AI era. The Lead Data Engineer will be responsible for owning and scaling the data platform, driving customer-facing analytics, and leading a high-output team to transform raw data into trustworthy datasets.
Artificial Intelligence (AI)Business DevelopmentDeveloper APIsDeveloper ToolsProductivity Tools
Responsibilities
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
Qualification
Required
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
Clear communicator with a bias for action, curiosity, and a high bar for quality
Preferred
Domain experience in SEO, content analytics, or growth experimentation is a plus
Benefits
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!
Company
AirOps
AirOps enables businesses to build AI-powered content workflows combining multiple language models with brand data for scalable growth.
51-200 employees
H1B Sponsorship
AirOps has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
Funding
Current Stage
Growth StageTotal Funding
$62.5MKey Investors
GreylockUnusual VenturesWing Venture Capital
2025-11-10Series B· $40M
2024-10-02Series A· $15.5M
2023-04-26Seed· $7M
Leadership Team
Alex Halliday
Founder and CEO
Matt Hammel
Co-founder and COO
Recent News
Sourcery
2025-11-21
alleywatch.com
2025-11-19
vcnewsdaily.com
2025-11-14
Company data provided by crunchbase