Data Platform Engineer
$180k - $250k USD
About Noetica
Noetica is solving critical NLP problems at the heart of the trillion-dollar capital markets ecosystem with an in-house machine learning platform and decades of ML PhD expertise. Founded in 2022 and based in New York, our high-caliber team is dedicated to bringing innovation and efficiency to legal and financial industries.
We count many of the top law firms in the world among our customers.
To date we have raised ~$30M with our last round (Series A) led by Lightspeed.
We're fortunate to have been featured in Wall Street Journal, Bloomberg, and American Banker, amongst others, and named a top AI company 2024 and 2025 by Business Insider, CB Insights, and others.
The Opportunity
The global capital markets are among the largest markets in the world valued at $50T+ and growing. Transactions in these markets are complex. Critical, nuanced legal terms are woven into lengthy documents. These documents must be digested and analyzed by many different parties over the course of a single transaction and multiple decisions are made based on the terms laid out and quantitative and qualitative attributes within. This fundamental need plus a booming market drives enormous demand for precise extraction and benchmarking of legal terms.
Why We Need You
As a Senior/Staff Data Platform Engineer at Noetica, you will be responsible for developing and maintaining the core infrastructure that processes and enriches complex data at scale. The Data Platform team is at the heart of our cutting edge AI/ML research, connecting it directly to our data product that delivers market-moving insights to our users. You will also play a vital role in scaling up the platform to meet the needs and expectations of our rapidly growing user base. The team is also the efficiency engine that removes the burden of productionization from our researchers, and offers readily accessible, high-quality structured data that enables product teams to build exceptional end-user experiences.
Here’s What You’ll Be Doing
As a member of the Data Platform team, you will:
Build and Maintain the Core Data Platform: Design, develop, and operate the shared data platform infrastructure that powers our data products. Ensure high availability and high performance at scale. Ensure data security and compliance in a highly-regulated industry.
Empower AI/ML Research: Productionize cutting-edge research results into data pipelines. Design, develop, and operate internal systems that enable research experimentations and enable rapid iterations on our AI/ML technology.
Enable Product Team Velocity: Design, develop, and operate performant and highly-available data serving systems that accelerate end-user product development.
Solve Complex Data Processing Challenges: Implement elegant, robust, and highly scalable solutions to address cutting-edge data processing requirements and performance/efficiency bottlenecks.
Reliability and Observability: Design and develop full observabilities into the entire data processing platform. Design and develop internal systems for monitoring the quality of our foundational datasets. Ensure that our foundational datasets are reproducible and trackable.
Scale Infrastructure for Growth: Proactively scale the infrastructure to meet the increasing demands of our rapidly expanding client-facing products and user base.
Our Ideal Candidate
Has Proven Experience in Microservices: You possess hands-on experience developing backend applications with microservice architectures, ideally deployed on Kubernetes. You are familiar with API/library development and have a good taste on designing durable interfaces.
Is Familiar with Data Processing Workflows: You have practical exposure to stateful data processing workflows and tools like Airflow, Prefect, Dagster, or Flyte. You are generally familiar with the developments and trends in the data ecosystem and have opinions on the best tool for the job.
Is Passionate about Fintech/Legaltech: You have a genuine interest in the intersection of finance and law, recognizing the immense potential for technological innovation in these fields. You're excited by the opportunity to bring cutting-edge solutions to an industry ripe for transformation.
Is a Driven and Agile Learner: You are a quick learner, eager to explore new technologies and adapt to a fast-paced environment. You like to challenge yourself to go deeper into the stack.
Is a Collaborative Communicator: You are diligent, highly motivated, dynamic, and possess excellent communication skills, thriving in a team setting.
You Need These Qualifications
Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience).
3+ years of industry experience as a Software Engineer.
3+ years working with Python.
Strong understanding of AWS services and architectures, with hands-on experience in managing cloud infrastructure.
Compensation
The reasonably estimated yearly salary for this role is $180,000-$250,000 USD. You will also be entitled to receive a significant early stage equity package and benefits. Individual pay decisions are based on a number of factors, including qualifications for the role, experience level (this range covers mid-level to principal-level candidates), and skillset.
Benefits
We offer numerous employee benefits, including:
Medical, dental, and vision insurance with 100% employer-paid premiums for employees and 65% for dependents
Hybrid in-office schedule
Amazing office location next to Bryant Park/Grand Central
401(k) retirement plan
Wellhub (Gympass) fitness membership
Unlimited PTO
Unlimited sick days
Company offsites
Commuter benefits
Equal Opportunity Employment
We are an equal opportunity employer. We search for amazing people of diverse backgrounds, experiences, abilities, and perspectives. We take care of each other to create an inclusive work environment where we love to come to work every day. We'd be happy to provide reasonable accommodations to help you apply—just email us at hiring@noetica.ai. We hope you can join us.