Senior Software Engineer, Datafold

AI Agents

$175-245k

The compensation range provided is based on the San Francisco, CA market. + Offers Equity

SQL

TypeScript

JavaScript

Python

Senior level

Remote in US

Quality assurance & monitoring platform for data engineers

Open for applications

Quality assurance & monitoring platform for data engineers

21-100 employees

B2BData storageEnterpriseSaaSData Analysis

Open for applications

$175-245k

The compensation range provided is based on the San Francisco, CA market. + Offers Equity

SQL

TypeScript

JavaScript

Python

Senior level

Remote in US

21-100 employees

B2BData storageEnterpriseSaaSData Analysis

Company mission

To ensure that no data engineer faces sleepless nights worrying about a hotfix that broke the data or cost their company millions.

Job

Company

Role

Who you are

Experience: 5+ years as a software engineer with a strong backend focus
Tech Stack: Proficiency in Python is required; experience building with LLMs and/or JavaScript/TypeScript is a plus
Ownership: Proven ability to manage projects end-to-end, from design through deployment
Startup Mindset: Thoughtful about balancing speed, quality, and business impact

What the job involves

Drive the development of DMA, shaping both the technical and architectural foundation for a product that combines AI and data engineering to solve complex migration challenges
Design, develop, and maintain backend systems focused on AI-driven SQL translation and cross-database data comparison
Collaborate with early customers to refine features and iterate toward product-market fit
Make strategic technical decisions to ensure DMA is scalable, robust, and optimized for high-performance data migration
Take ownership of projects end-to-end, troubleshooting and resolving complex challenges in real time to deliver high-quality, impactful results

Our take

Data engineering has gone from a buzzword to a mission-critical function in a modern company - that’s resulted in a $2bn data reliability industry that will only continue to grow.

Datafold meets this pressing need with a suite of tools that tackle the most tedious, error-prone and repetitive tasks faced by data engineers. That is, unlike most existing data quality tools, Datafold catches data quality issues before they occur, not once the companies’ services have broken down!

The company is focused on expanding its toolset and enabling even more seamless integrations to onboard more customers. The goal is to be seen as part of a package alongside leading vendors like Snowflake, Databricks, bdt, etc.

Datafold’s product has received praise from enterprise leaders in this emerging field, but the company is facing competition from other venture-backed startups going after the same market. Some, from the ground-up with open-source tools like Great Expectations. Fortunately, there’s room for all to grow for now.

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Top investors

Few candidates hear
back within 2 weeks

Company

Funding (last 2 of 3 rounds)

Nov 2021

$20m

SERIES A

Nov 2020

$2.1m

SEED

Total funding: $22.3m

Company benefits

Unlimited PTO
Co-working budget
Home office budget
Flexible working hours
Parental leave

Company HQ

Chelsea, New York, NY

Articles

Announcing Datafold

Datafold is solving the chaos of data engineering

Datafold Raises $20M Series A To Help Data Teams Deliver Reliable Products Faster

Datafold launches open-source diffing tool to execute data validation checks

Datafold, Hightouch Team up for Data Synchronizations

Leadership

Gleb Mezhanskiy

(CEO)

Data engineering veteran having been a founding member of Data teams at Autodesk & Lyft and Head of Product at Phantom Auto. Moved from Russia to earn a Master of Information Systems Management at Carnegie Mellon University.

Alex Morozov

(CTO)

Held CTO positions at several startups and technology companies. Have also continuously worked as a Senior Scientist at the Russian Research Center "Kurchatov Institute" for two decades.

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