Software Engineer, Data

Argon; United States; Remote; USD 80,000 - 110,000; Full time

Job summary

An established industry player in pharma intelligence is seeking a talented Software Engineer to join their Data team. This role involves leading data engineering projects that encompass web crawling, data ingestion, and data modeling. You'll design and build scalable data pipelines to support advanced AI models, ensuring smooth data flow from diverse sources. With a focus on optimizing database management and enhancing user workflows, this position offers an exciting opportunity to work with cutting-edge technologies in a dynamic environment. If you're passionate about data and innovation, this role could be your next big step!

Qualifications

• Experience in building scalable data pipelines for AI applications.
• Strong knowledge of database management and optimization techniques.

Responsibilities

• Design and build robust data pipelines for AI model support.
• Oversee database management, focusing on optimization and security.
• Lead data modeling efforts to enhance user experience.

Skills

Data Pipeline Development

Database Management

Data Modeling

Web Crawling

AI Tools Integration

Education

Bachelor's Degree in Computer Science

Master's Degree in Data Science

Tools

BeautifulSoup

SQL

Python

Job description

Data is the lifeblood that powers pharma intelligence, insights, and decision-making. We need to stay up to date on the universe of events happening in pharma. These data sources are complex each with its quirks, and we’ll need to build robust, reliable, and secure pipelines. As a Software Engineer on the Data team at Argon, you will own and lead data engineering projects including web crawling, data ingestion, data modeling, and search.

1. Data Pipeline Development: Design and build robust, scalable data pipelines to support our AI models. These data pipelines will span the gamut of autonomy: from BeautifulSoup-style html parsers to AI-native agentic crawlers. You'll ensure the smooth flow of data from various sources, making it ready for analysis and deployment in our AI tools. You will also be in charge of leveraging state-of-the-art techniques to process this data, which comes in different forms (text, unstructured documents, images, audio, etc.)

2. Database Management and Optimization: Oversee our databases. You'll focus on optimizing data storage and retrieval, ensuring speed and efficiency while maintaining data integrity and security.

3. Data Modeling: Lead the way to designing data models that best support our users’ experience and workflows, while maintaining a high bar for security.