Senior Data Engineer

Grata is the leading private market dealmaking platform. We make it easy to find, research, and engage with private companies. Our platform has the most comprehensive, accurate, and searchable proprietary data on private companies, their financials, and their owners.

We help leading investors (PE/growth), investment bankers, management consultants, and corporate development teams discover and win more deals. Grata has over 700 customers and has been widely recognized as the market leader by G2, PE Wire, and more.

We are looking for a Senior Data Engineer to join our team! This is an opportunity to ship extremely high-value, customer-facing work at a company where data is the core product. We’re looking for someone who’s excited to write code, take ownership, and solve incredibly interesting data problems.

This is an incredible opportunity for someone with deep technical expertise, a desire to do high-impact work on a flexible, fast-growing team. You will set technical direction and ship code for major initiatives that drive a huge amount for the company in a core part of the product.

Grata is a hybrid company, which means our employees work from our NYC office (near Bryant Park) on Mondays, Tuesdays and Thursdays.

At Grata, we will expect you to:

• Lead technical design and drive project execution on major engineering initiatives.
• Write high-quality production code. Champion best practices in code quality and development processes across the team.
• Productionize data infrastructure and deploy machine learning models.
• Mentor and guide other team members on technical matters.
• Coordinate closely with PMs and other engineers.

What we are looking for:

• 5+ years of experience writing application code in a distributed, event-driven architecture.
• 3+ years of experience building and deploying data pipelines & ML models.
• A strong sense of ownership, action-orientation, and excitement to be the driving force in shipping major, high-impact projects.
• Some experience mentoring other developers.
• Some experience architecting systems, especially data pipelines.
• Some experience with Spark, Databricks and Python.
• (Nice to have) Deep knowledge of Spark (& Databricks) would be a big plus.
• (Nice to have) Experience with AWS, Django.

Benefits & Perks:

• Medical, dental, vision plans: we offer plans with 100% coverage of premiums for employees
• Company-sponsored lunch through Grubhub on a weekly basis
• Unlimited PTO policy 
• Flexible Work Location (FWL) policy that allows you to work from home 24 days of the year
• Other benefits: 12 weeks of parental leave, 401k, pre-tax commuter benefits, dog-friendly office

Grata is committed to providing competitive cash compensation and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in New York City, the estimated base salary for this role is $130,000- $170,000 per year. There is also an annual bonus plan you'd be eligible to participate in.

Grata is proud to be an Affirmative Action, Equal Opportunity Employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Grata considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Grata is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. 

If you need assistance or an accommodation due to a disability, please let your recruiter know. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.