DatafoldDA

Senior Software Engineer - AI Agents

At Datafold, we build tools for data practitioners to automate the most error-prone and time-consuming parts of the data engineering workflow: testing data to guarantee its quality.

Datafold

Employee count: 11-50

Salary: 175k-245k USD

United States only

Datafold is a fast-growing, Series A startup at the forefront of data quality and observability—think Datadog for data engineers. Backed by top-tier investors including YC, Amplify, and NEA, we're redefining how companies like Disney, FanDuel, and Perplexity do data engineering. Headquartered in New York, we are a fully remote team with employees from across three continents.

We’re looking for experienced backend engineers to help build and scale the Datafold Migration Agent (DMA) — an AI-powered product that’s changing the game in data platform code migrations. Combining large language models with our unique data diffing technology, DMA automates code analysis, translation, and refactoring at a million LOC scale, slashing migration timelines by 5- 10x and eliminating the need for manual work and costly consultants.

About the Role

  • Drive the development of DMA, shaping both the technical and architectural foundation for a product that combines AI and data engineering to solve complex code migration challenges.

  • Design, develop, and maintain backend systems focused on AI-driven code analysis, translation and refactoring.

  • Collaborate with Solutions Engineers and customers to seek feedback and improve the product.

  • Take ownership of projects end-to-end, troubleshooting and resolving complex challenges in real time to deliver high-quality, impactful results.

About You

  • Experience: 5+ years as a software engineer with a strong backend focus.

  • Tech Stack: Proficiency in Python is required; experience building with LLMs is not required but 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.

If building a high-impact, innovative product at the intersection of AI and data engineering sounds exciting, we’d love to hear from you.

We are open to considering candidates located in USA, South America, Canada, and Europe.

Datafold is an equal opportunity employer and does not discriminate against any employee or applicant for employment based on race, color, religion, sex, national origin, age, disability, genetic information, sexual orientation, gender identity, marital status, military status, or any other protected characteristic. We are committed to providing equal employment opportunities to all individuals. We strive to create an inclusive and diverse work environment where all employees are valued and unique perspectives are respected and celebrated.

About the job

Apply before

Posted on

Job type

Full Time

Experience level

Senior

Salary

Salary: 175k-245k USD

Location requirements

Hiring timezones

United States +/- 0 hours

About Datafold

Learn more about Datafold and their company culture.

View company profile

At Datafold, we build tools for data practitioners to automate the most error-prone and time-consuming parts of the data engineering workflow: testing data to guarantee its quality. While data quality (just like software quality) is a complex and multifaceted problem, we draw from decades of our team’s combined experience in the data domain to build opinionated tools our users love. Specifically, we believe that:

  • Data quality is a byproduct of a great data engineering workflow: That means, rather than building yet-another-app for data practitioners to switch to and from, we insert our tools in the existing workflows, for example, in CI/CD for deployment testing and IDEs for testing during development.

  • Data quality issues should be addressed before deploying the code: Most data quality issues are bugs in the code that processes data, and applying a proactive, shift-left approach is the most effective way to achieve high shipping velocity and data quality simultaneously.

  • Lack of metadata (data about data) is the biggest gap in the data engineering workflow. We bring powerful tools such as data diffing and column-level lineage to every data engineer’s workflow to help them validate the code and underlying data and fully understand the dependencies in complex data pipelines.

Employee benefits

Learn about the employee benefits and perks provided at Datafold.

View benefits

Life insurance

Life insurance so you don't have to worry.

Healthcare benefits

Medical, dental, and vision insurance for employees.

Paid Parental Leave

Datafold offers 16 weeks of fully paid parental leave to support new parents in their time of need.

Equity Offer

Employees at Datafold receive equity as part of their compensation package, aligning their success with the company's growth.

View Datafold's employee benefits
Claim this profileDatafold logoDA

Datafold

Company size

11-50 employees

Founded in

2020

Chief executive officer

Gleb Mezhanskiy

Employees live in

View company profile

Similar remote jobs

Here are other jobs you might want to apply for.

View all remote jobs

Remote companies like Datafold

Find your next opportunity by exploring profiles of companies that are similar to Datafold. Compare culture, benefits, and job openings on Himalayas.

View all companies

Find your dream job

Sign up now and join over 85,000 remote workers who receive personalized job alerts, curated job matches, and more for free!

Sign up
Himalayas profile for an example user named Frankie Sullivan
Datafold hiring Senior Software Engineer - AI Agents • Remote (Work from Home) | Himalayas