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Salary
$135k – $264k per year (Estimated)
Location
Remote (United States)
Seniority
Senior · 5+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match

Ex Parte provides our customers with the data and insight to make smart and informed decisions on the most important legal issues facing their organizations.

We are is looking for talented, enthusiastic senior data engineers who share our passion for big data, AI, and machine learning and are excited by seemingly-impossible challenges. As an early employee, you must be amazingly entrepreneurial and thrive in a fast-paced environment where the solutions aren’t predefined.

Every year, corporations spend more than $250B on litigation in the United States alone. And yet, critical decisions such as whether to litigate or settle, or where to file suit or which attorney to hire, are all made the same way they were 100 years ago.

We are applying artificial intelligence, machine learning, and natural language processing to provide our customers with the insight they need to make highly informed decisions and gain a winning advantage. Think of it like Moneyball, but for a market more than 20x the size of Major League Baseball.

You’ll lead a web team that owns the AI self-service portal and the related set of microservices. You’ll work with a cross-functional team of engineers to contribute to our UI/UX. We are building a cloud offering that includes UI/UX flows typical of a SaaS app.

In this role, you can expect to:

· Build high-quality and performant user interfaces that drive product-specific functionality at ExParte AI Platform

· Collaborate with product designers on shaping the flows during the design process

· Collaborate with other front end engineers in the organization around best practices and shared components

· Collaborate with other engineers driving API changes necessary to build the best UX for our users

· Work across our product, primarily on the front-end

· Interface directly with internal teams

· Evaluate software and implementation options and document them for technical teams.

· Design and develop systems, sub-systems, and programs.

· Resolve and troubleshoot problems and complex issues.

· Perform unit tests and fix bugs.

· Integrate best qualitative practices in the design and development aspects of programs.

· Be a part of a distributed team (we’re in North America and Europe)

· Work with Azure cloud and Databricks

· Develop technical architecture and specific implementations to meet business needs.

· Guide the team’s software engineering best practices by documenting standards and completing code reviews.

· Troubleshoot new and existing code and provide feedback and solutions to structural issues in the codebase as they arise.

· Advise on the feasibility of nonfunctional requirements and ensure the successful implementation of features while meeting those requirements.

Requirements:

· 5+ years professional experience with JavaScript/Typescript, HTML5, and CSS3 in the full software development life cycle (SDLC)

· 3+ years experience with T-SQL.

· 2+ years with Node.js and entity framework core.

· 2+ years of experience developing software using React.

· Experience in agile software development

· Experience writing Rest APIs and microservices-based applications

· Strong analytical and problem-solving skills

· Good time management and organizational skills

· Ability to work on challenging issues independently or in a team environment

· Ability to pair with a customer's development team and guide them on leading-edge technologies

· Ability to learn and adapt quickly to new technologies and environments

· Strong communication skills

Nice-to-have's:

· Experience with Power BI Embedded

· Experience with .NET Core

· Have experience with Python and ML

· Understanding of cloud platforms and providers, specifically Microsoft Azure

· Knowledge of CI/CD tools in Azure DevOps

· Bachelor's Degree in Computer Science, Engineering, Mathematics or a related field

All your information will be kept confidential according to EEO guidelines.

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