Data Engineer

Tabs; New York (NY); On-site; USD 160,000 - 195,000; Full time

Benefits offered by this job

Competitive compensation and equity

Unlimited PTO

Healthcare premium coverage (medical,

Lunch provided via Sharebite

Parental leave

Tax free commuter and parking benefits

Life insurance

401k

Free One Medical Membership

Job summary

Tabs, a leading AI-native revenue platform, seeks a Data Engineer in New York to design our foundational data platform and scalable data warehouse. You will own the data stack, from ingestion to analytics, enabling BI and AI systems with reliable pipelines and well-documented data contracts.

You’ll work in a fast-growing startup, shaping metrics, data models, and governance in a greenfield environment with ownership and impact.

Qualifications

• 5+ years of experience as a Data Engineer in a startup environment.
• Solid programming skills in Python and strong SQL for analytics.

Responsibilities

• Design and implement our first scalable data warehouse/lakehouse to support KPIs.
• Build and maintain reliable data pipelines from application databases and third-party tools.
• Translate business metrics into concrete data models and schemas.
• Define and own data modeling standards and best practices.
• Implement monitoring, data quality checks, and observability around pipelines.
• Enable BI and data analysts through well structured models and self-serve datasets.
• Document the data platform and help establish a shared source of truth for metrics.

Skills

Python

SQL

Data modeling

Cloud data stack

Tools

Snowflake

BigQuery

Redshift

Databricks

dbt

Airflow

Dagster

Fivetran

Stitch

Job description

Tabs is the leading AI-native revenue platform for modern finance and accounting teams. Tabs agents automate the entire contract-to-cash lifecycle, including billing, collections, revenue recognition, and reporting, to help teams eliminate manual work and accelerate cash flow.

High-growth companies like Cursor and Statsig rely on Tabs to generate invoices directly from contracts, reconcile payments in real time, and automate ASC 606 compliance.

Founded in 2023, Tabs has raised over $91 million from Lightspeed Venture Partners, General Catalyst, and Primary. The team is headquartered in New York and brings deep expertise in finance and AI.

About The Role

You’ll be the first Data Engineer at Tabs, building the core data infrastructure that powers our internal KPIs, customer insights, and our AI systems. Your initial mandate is to design and implement the foundational data platform around our core metrics, and set us up for long-term analytical scalability.

This role is ideal for an engineer who has built a data platform end to end and wants ownership of the full data stack. You’re comfortable operating in ambiguity and focused on driving real business impact.

What You’ll Do

• Design and implement our first scalable data warehouse/lakehouse to support KPIs.
• Build and maintain reliable data pipelines (batch and/or streaming) from application databases and third-party tools.
• Work with leadership to translate business metrics into concrete data models and schemas.
• Define and own data modeling standards and best practices.
• Implement monitoring, data quality checks, and observability around pipelines and core tables.
• Enable BI and data analysts through well structured models and self-serve friendly datasets.
• Document the data platform (lineage, definitions, contracts) and help establish a shared source of truth for metrics.

Experience

• 5+ years of experience as a Data Engineer, ideally in a mid-stage startup.
• Solid programming skills in Python.
• Strong SQL skills and experience designing/data modeling for analytics
• Hands-on experience with a modern cloud data stack, such as:
• Warehouses: Snowflake, BigQuery, Redshift, Databricks, etc.
• Orchestration/transformation: dbt, Airflow, Dagster, or similar.
• Ingestion: Fivetran, Stitch, custom ingestion pipelines, etc.
• Experience building and operating production-grade data pipelines (performance, reliability, cost-awareness).
• Strong understanding of data quality, testing, and monitoring practices.
• Comfort starting from a relatively greenfield environment and making pragmatic build vs. buy decisions.

Nice to have

• Experience supporting BI tools (Looker, Mode, Tableau, Metabase, etc) and designing semantic layers.
• Experience in B2B SaaS, especially around revenue, usage, and customer health metrics.
• Prior experience as an early data hire or working in a small or medium, fast-growing startup

Perks And Benefits (Full-time Employees)

• Competitive compensation and equity
• Unlimited PTO
• Up to 100% employer covered monthly healthcare premium (medical, dental, vision)
• Lunch provided via Sharebite, plus dinner for any later in office days.
• Parental leave up to 12 weeks
• Tax free commuter and parking benefits
• Voluntary insurances (Life, Hospital, Critical Illness, Accident)
• Employee Assistance Program (Rightway)
• Free One Medical Membership
• 401k

Tabs is an equal opportunity employer. We welcome teammates of all identities and do not discriminate on the basis of race, ethnicity, religion, gender identity, sexual orientation, age, disability, veteran status, or any other protected characteristic. We’re committed to creating an environment where everyone can grow, contribute, and feel comfortable being themselves.

Compensation Range: $160K - $195K