Data Engineer II (Machine Learning)

  • Full-time

Company Description

Redica Systems is a data analytics platform built to help life sciences companies improve their quality and stay on top of evolving regulations. Our proprietary processes transform one of the industry’s most complete data sets, aggregated from hundreds of health agencies and unique Freedom of Information Act (FOIA) sourcing, into meaningful answers and insights that reduce regulatory and compliance risk.

Founded in 2010, Redica Systems serves over 200 customers in the Pharma, BioPharma, MedTech, and Food and Cosmetics industries, including 19 of the top 20 Pharma companies and 9 of the 10 top MedTech companies. Redica Systems’ headquarters are in Pleasanton, CA, but we are a geographically distributed company. More information is available at

Job Description

We’re looking for an experienced Data Engineer II specializing in Machine Learning Engineering (MLE) to join our team as we continue to develop the first-of-its-kind quality and regulatory intelligence (QRI) platform for the life science industry.

Core Responsibilities 

  • Create new documentation for the components they work on
  • Provide on-call support for the team as needed
  • Write correct and clean code with minimal guidance; consistently follow best practices
  • Focus on attaining expertise in one or more areas, such as Data Engineering, ML Engineering, Data Modeling, Data Testing, Data Pipeline Orchestration, etc.
  • Contribute to code used by others
  • Make steady progress on tasks and proactively seek help when faced with obstacles
  • Ensure adequate testing (both automated and manual)
  • Prioritize tasks and pay attention to important details
  • Develop proficiency in the company's tech stack and languages relevant to the team
  • Gain a high-level understanding of how their team's stack is related to other teams

About you

  • Business Insight: Has a deep understanding of the business context, to develop data solutions that align with the company's objectives
  • Decision Quality: Consistently makes sound and timely decisions related to data architecture, tool selection, and process improvements that propel the organization forward
  • Tech Savvy: Effectively anticipates and adopts innovations in business-building technology solutions, staying up-to-date with advancements and incorporating them into work processes to ensure efficient data management and processing
  • Collaborates: Actively engages in cross-functional problem-solving by leveraging diverse perspectives and finding innovative solutions
  • Drives Results: Strives to continuously improve performance and exceed expectations
  • Engaged: Not only shares our values but also possesses the essential competencies needed to thrive at Redica (happy to share more!)


  • 3 years of developer experience with an emphasis on code/system architecture and quality output
  • Experience designing and building data pipelines, data APIs, and ETL/ELT processes
  • Exposure to data modeling and data warehouse concepts
  • Hands-on experience in Python
  • Hands-on experience working with AWS Sagemaker and supporting the building of batch and real-time ML pipelines (AWS Sagemaker / MLflow).
  • Hands-on experience setting up, configuring, and maintaining SQL and no-SQL databases (MySQL/MariaDB, PostgreSQL, MongoDB, Snowflake)
  • Computer Science, Computer Engineering, or a similar technical degree

Bonus Points

  • Experience with the data engineering stack within AWS is a major plus (S3, Lake Formation, Lambda, Fargate, Kinesis Data Streams/Data Firehose, DynamoDB, Neptune DB)
  • Experience and/or awareness of open-source and closed-source generative AI products & LLMs
  • Experience with event-driven data architectures
  • Experience with the ELK stack is a major plus (ElasticSearch, LogStash, Kibana)

Additional Information

Top Pharma Companies, Food Manufacturers, MedTech Companies, and Service firms from around the globe rely on Redica Systems to mine and process government inspection, enforcement, and registration data in order to quantify risk signals about their suppliers, identify market opportunities, benchmark against their peers, and prepare for the latest inspection trends. Our data and analytics have been cited by major media outlets such as MSNBC, WSJ, and the Boston Globe. 

Redica Systems is an equal-opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, religion, age, sexual orientation, disability, or veteran status.

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