Senior Data Engineer
Rad AI$145,000 - $190,000/year
- Full Time
- Senior (5 to 8 years)
$60,000 – $90,000Compensation
Senior (5 to 8 years), Mid-level (3 to 4 years)Experience Level
InternshipJob Type
UnknownVisa
Financial Engineering, Data Engineering, Data & AnalyticsIndustries
Requirements
Candidates should possess 8+ years of experience in data engineering, including hands-on work in financial data environments such as billing, ERP, payments, or accounting systems. They should be proficient in building pipelines using tools like Airflow, Spark, or DBT, and comfortable writing clean, testable SQL and Python code. Strong experience working with financial data that feeds into downstream systems like Netsuite, Stripe, or other billing and finance tools is required.
Responsibilities
The Data Engineer will build robust data pipelines and ETL workflows to integrate data from internal billing systems and third-party vendors, transforming raw events into structured, finance-grade datasets. They will develop unified offline billing models to support product analytics, cash flow tracking, and financial performance reporting, and design and evolve schemas that power internal tools and external integrations, ensuring compatibility with accounting and compliance requirements. Furthermore, they will implement validation and reconciliation frameworks to guarantee consistency between internal systems and external platforms, and partner closely with Finance and Accounting teams to produce reliable data inputs for month-end close, revenue analytics, and key financial metrics like ARR. The role also involves supporting pricing analytics by delivering clean datasets that link compute usage, product configurations, and customer billing, and driving alignment across engineering, data science, and finance to ensure that internal billing pipelines support future needs around audits, SOX compliance, and multi-processor support.
Skills
Airflow
Spark
DBT
SQL
Python
ETL
Data Pipelines
Financial Data
Netsuite
Stripe
Billing Systems
Data Transformation
Data Validation
Data Reconciliation
OpenAI
Develops safe and beneficial AI technologies
About OpenAI
OpenAI develops and deploys artificial intelligence technologies aimed at benefiting humanity. The company creates advanced AI models capable of performing various tasks, such as automating processes and enhancing creativity. OpenAI's products, like Sora, allow users to generate videos from text descriptions, showcasing the versatility of its AI applications. Unlike many competitors, OpenAI operates under a capped profit model, which limits the profits it can make and ensures that excess earnings are redistributed to maximize the social benefits of AI. This commitment to safety and ethical considerations is central to its mission of ensuring that artificial general intelligence (AGI) serves all of humanity.
San Francisco, CaliforniaHeadquarters
2015Year Founded
$18,433.2MTotal Funding
LATE_VCCompany Stage
AI & Machine LearningIndustries
1,001-5,000Employees