Data Engineer

Full time
🔍 Find Similar Jobs

Job Details

Employment Type

Full time

Salary

2,025.00 USD

Valid Through

Aug 28, 2025

Job Description

OffDeal is the world’s first AI-native investment bank for small businesses. Instead of selling AI to Goldman Sachs, we’re building what Goldman itself would have looked like if it launched in 2025. Wall Street's playbook works well, but only for billion-dollar deals - it breaks where most businesses actually exist. Traditional firms run oversized teams on outdated software, making smaller M&A transactions uneconomical. This leaves millions of small business owners with nowhere to turn for the most important sale of their lives… Until now.

Our engineers built software to automate 80%+ of analyst work with AI, so our in-house bankers can focus where it counts - on earning owners’ trust and closing deals. We recently closed a $12M Series A ($17M in total funding) from Radical Ventures and Y Combinator and are scaling really fast. In less than a year, our team has already launched over 30 sell-side M&A transactions and has delivered numerous life-changing exits to our clients - and we’re just getting started.

The RoleAs a Data Engineer, you'll be the architect of our data infrastructure, powering everything from AI-driven business valuations to strategic decision-making across the company, using data science. You'll work directly with our founders and cross-functional teams to build and maintain the data layer that enable our investment bankers to be 10x more productive. Your work will directly impact how we leverage data to transform the $10 trillion small business M&A market.

What You'll DoBuild and maintain our core data infrastructure including Looker dashboards, BigQuery data warehouse, and all data pipelines from external and internal toolsCreate product analytics dashboards that powers our business intelligence and lead generation effortsConduct data readouts for experiments and perform ad-hoc analyses to drive strategic decisionsMaintain and enhance OffDeal’s data lake by assessing new data vendors, cleaning and integrating external data sources, and improving accuracy of derived metrics using ML-based approachesBuild the golden datasets needed for effective prompt experimentation and A/B testing of LLM-based workflowsImprove search and ranking algorithms across all productsHandle all Revenue Operations infrastructure, including CRM data models, data hygiene, and marketing attribution to ensure clean, actionable business metricsWe're Looking For Someone Who Has / Is A…3+ years of experience as a Data Engineer, Data Scientist, or similar role, at a technology companyProficiency in SQL and experience with machine learning frameworks for data quality and ranking improvementsExperience working with a modern business intelligence data stack, especially BigQuery and LookerFamiliarity with of CRMs, marketing attribution, and revenue operations workflowsExperience with A/B testing frameworks and statistical analysis for product experimentationHigh conscientiousness and meticulous attention to detail, ensuring data accuracy and reliability across all systemsExperience working with LLMs and prompt optimization is a plusWhy Join OffDealWe only hire best-in-class engineers, and are offering compensation to reflect itTop-tier benefits, including medical, dental, vision, and unlimited PTO401K MatchingPerks like free food, Equinox membership, and NYC relocation allowanceWork with bleeding edge AI on a modern codebaseOpportunity to be a foundational team member at a well-funded, high-growth startupBe part of a mission to shape the future of small business ownership and to promote American entrepreneurshipCompensation Range:

$180K - $230K

Apply Now

You'll be redirected to the company's application portal

Application Success Tips

Resume Tailoring

Customize your resume to highlight skills and experiences relevant to this specific position.

Company Research

Learn about the company's mission, values, products, and recent news before your interview.

Profile Optimization

Ensure your LinkedIn profile is complete, professional, and matches your resume information.

Interview Preparation

Prepare thoughtful questions to ask about team dynamics, growth opportunities, and company culture.

Back to Job Listings