Senior Data Engineer - Remote

Job not on LinkedIn

March 28

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Anagenex

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Artificial Intelligence • Biotechnology • Pharmaceuticals

Anagenex is a company focused on accelerating drug discovery using advanced AI technology and large-scale data. By testing billions of molecules and generating high-quality datasets, Anagenex leverages proprietary neural networks to design and refine new compounds that can potentially treat diseases more efficiently. The company aims to overcome the traditional 25-year timeline from disease protein identification to medicinal application, integrating iterative AI and real laboratory experiments to speed up the process, thereby bringing medicines to patients faster.

11 - 50 employees

🤖 Artificial Intelligence

🧬 Biotechnology

💊 Pharmaceuticals

💰 $30M Series A on 2022-06

📋 Description

• We are looking for a savvy Data Engineer to join our growing team of data experts. • The hire will be responsible for expanding and optimizing our data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. • Build and deploy the data pipelines that power Company’s machine learning platform. • Develop warehouse architectures that integrate data from diverse sources. • Design analytics solutions for both product development and internal collaborators.

🎯 Requirements

• A minimum of 1 years experience in data engineering, analytics engineering, or software engineering with an emphasis on large scale data management and processing systems. • Proficiency in Python and advanced SQL. • Advanced experience with ETL pipelines, data modeling and managing data warehouses (Snowflake, BigQuery, Redshift, etc). • Experience with SQL RDBMS such as MySQL, Postgres, Oracle, SQL Server, etc., as well as NoSQL systems such as MongoDB is required. • Experience with tools including Meltano, dbt, Airflow, and Superset is required. • Experience with Docker, Git and AWS (EC2, ECS, S3, Step Functions, and Athena). • Analytics and Business Intelligence knowledge is highly preferred. • Experience working with common SaaS APIs (such as CRMs) is preferred.