Data Engineer

Tabs; New York (NY); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Competitive compensation and equity

Healthcare premium covered

Daily meal stipend

Tax-free commuter benefits

Parental leave up to 12 weeks

Unlimited PTO

401k

Job summary

A leading AI-native revenue platform is seeking its first Data Engineer to design and implement a scalable data infrastructure. This role involves building reliable data pipelines, maintaining data quality, and translating business metrics into actionable models. Ideal candidates have extensive experience in data engineering, are proficient in Python and SQL, and possess a strong understanding of modern cloud data stacks. Competitive compensation and comprehensive benefits are included.

Qualifications

• 3–5+ years of experience as a Data Engineer, ideally in a mid‑stage startup.
• Hands-on experience with a modern cloud data stack.
• Strong understanding of data quality, testing, and monitoring practices.

Responsibilities

• Design and implement a scalable data warehouse/lakehouse for KPIs.
• Build and maintain reliable data pipelines from databases and tools.
• Work with leadership to translate business metrics into data models.

Skills

Python programming skills

Strong SQL skills

Experience with cloud data stacks

Data pipeline performance and reliability

Tools

Snowflake

dbt

Airflow

Fivetran

Job description

Tabs is the leading AI-native revenue platform for modern finance and accounting teams. Tabs agents automates 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

• 3–5+ 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

• Up to 100% employer covered monthly healthcare premium (medical, dental, vision)

• Daily meal stipend for in office days

• Tax free commuter and parking benefits

• Parental leave up to 12 weeks

• Voluntary insurances (Life, Hospital, Critical Illness, Accident)

• Employee Assistance Program (Rightway)

• Unlimited PTO

• 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.