OffDeal Logo

OffDeal

Data Engineer

Sorry, this job was removed at 08:07 p.m. (EST) on Tuesday, Oct 07, 2025
In-Office
New York, NY
180K-230K Annually
In-Office
New York, NY
180K-230K Annually

Similar Jobs

Yesterday
In-Office or Remote
New York, NY, USA
117K-183K Annually
Mid level
117K-183K Annually
Mid level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
The Data Engineer will build analytical data models, manage data pipelines, and improve data quality to support business needs at Atlassian.
Top Skills: AirflowAWSDbtJavaPythonSparkSQL
2 Days Ago
Hybrid
2 Locations
133K-166K Annually
Junior
133K-166K Annually
Junior
Fintech • Machine Learning • Payments • Software • Financial Services
As a Data Engineer at Capital One, you will collaborate on Agile teams, develop data solutions, work with big data technologies, and contribute to transformational projects.
Top Skills: AWSEmrGCPGurobiHadoopHiveJavaKafkaLinuxMapreduceAzureMySQLNoSQLOpen Source RdbmsPythonRedshiftScalaSnowflakeSparkUnix
2 Days Ago
Hybrid
2 Locations
309K-384K Annually
Expert/Leader
309K-384K Annually
Expert/Leader
Fintech • Machine Learning • Payments • Software • Financial Services
The Senior Distinguished Data Engineer will lead technical strategies for data pipelines, driving innovation and engineering excellence across the organization while mentoring talent and influencing key stakeholders.
Top Skills: AWSDatabricksDelta LakeFlinkIcebergJavaKafkaPythonScalaSnowflakeSparkSQL

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 Traditional firms run oversized teams on outdated software, making smaller M&A transactions uneconomical.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.

Read more about our story:

  • https://www.ft.com/content/9daf5c7e-e301-4b7d-809a-ff9fb336bdbc

  • https://www.cnbc.com/video/2025/08/04/wall-streets-new-ai-era-offdeal-ceo-on-using-ai-to-disrupt-investment-banking.html

  • https://www.fullydistributed.co/p/the-bull-case-for-an-ai-native-investment

The Role

As 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 Do

  • Build and maintain our core data infrastructure including Looker dashboards, BigQuery data warehouse, and all data pipelines from external and internal tools

  • Create product analytics dashboards that powers our business intelligence and lead generation efforts

  • Conduct data readouts for experiments and perform ad-hoc analyses to drive strategic decisions

  • Maintain 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 approaches

  • Build the golden datasets needed for effective prompt experimentation and A/B testing of LLM-based workflows

  • Improve search and ranking algorithms across all products

  • Handle all Revenue Operations infrastructure, including CRM data models, data hygiene, and marketing attribution to ensure clean, actionable business metrics

We're Looking for Someone Who Has / Is a…

  • 3+ years of experience as a Data Engineer, Data Scientist, or similar role, at a technology company

  • Proficiency in SQL and experience with machine learning frameworks for data quality and ranking improvements

  • Experience working with a modern business intelligence data stack, especially BigQuery and Looker

  • Familiarity with of CRMs, marketing attribution, and revenue operations workflows

  • Experience with A/B testing frameworks and statistical analysis for product experimentation

  • High conscientiousness and meticulous attention to detail, ensuring data accuracy and reliability across all systems

  • Experience working with LLMs and prompt optimization is a plus

Why Join OffDeal

  • We only hire best-in-class engineers, and are offering compensation to reflect it

  • Top-tier benefits, including medical, dental, vision, and unlimited PTO

  • 401K Matching

  • Perks like free food, Equinox membership, and NYC relocation allowance

  • Work with bleeding edge AI on a modern codebase

  • Opportunity to be a foundational team member at a well-funded, high-growth startup

  • Be part of a mission to shape the future of small business ownership and to promote American entrepreneurship

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account