We’re seeking an Enterprise Data Engineer to fill a temporary-to-permanent position and join us in our mission to improve human health and quality of life through the development, distribution, and application of advanced computational methods!

Schrödinger is on the cutting edge of computer-aided drug discovery and materials science, collaborating with companies like Takeda, Nimbus, Pfizer, and Sanofi. We set the record for the largest and fastest cloud computing run, and our software suites continue to revolutionize the design of therapeutics and materials. WaterMap, Maestro, and LiveDesign are just a few examples of the programs we’ve created.

As a member of our IT Apps team, you’ll play a critical role in the administration and improvement of our corporate data management system. 

Who will love this job:

• A data engineer with meaningful architecture experience
• A creative problem-solver with an attention to detail 
• An excellent team player who wants to make a sizable impact working on a small, dedicated department 
• A lifelong student who’s eager to learn new and varied technologies and business processes on the job
• A humanitarian who cares deeply about improving human health

What you’ll do:

• Provide technical leadership towards architecting and delivering end to end solutions
• Work with business partners for prioritization, impact assessment, and resolution
• Collaborate with other teams for multi-functional initiatives
• Design and build reusable components, frameworks and libraries at scale to support analytics products
• Devise and implement product features in collaboration with business and technology partners
• Develop architecture and design patterns to process and store high volume data sets
• Identify and tackle issues concerning data management to improve data quality
• Collaborate on the implementation of new data management projects and re-structure of the current data architecture
• Build continuous integration, test-driven development and production deployment frameworks
• Tackle data issues and perform root cause analysis to proactively resolve product and operational issues

What you should have:

• At least four years of relevant experience, with detailed knowledge of data warehouse technical architectures, infrastructure components, ETL/ ELT, and reporting/analytic tools
• At least three years of experience in cloud environments like GCP and BigQuery
• Experience developing custom features and solutions for ERP/CRM systems in similar roles, especially using Apex in Salesforce
• Understanding of relational and non-relational SQL
• Familiarity with building real-time streaming data pipelines
• Background in pub/sub modes like Kafka
• Experience in building lambda, kappa, microservice and batch architecture
• Knowledge of CI/CD processes and source control tools such as GitHub and related dev processes
• Experience with MuleSoft and Tableau
• Experience with NetSuite and/or Salesforce Lightning is a major plus