Senior Data Engineer

Posted 2 Days Ago
Hiring Remotely in Pleasanton, CA, USA
In-Office or Remote
Senior level
Information Technology • Machine Learning • Analytics
The Role
Design, build, optimize, and maintain scalable data pipelines, APIs, and microservices for high-volume regulatory datasets. Ensure data quality through automated testing, monitoring, and validation; contribute to platform architecture; integrate with NLP/ML services and ELK; support production deployments and incidents; and collaborate with Engineering and Product teams. Mentor engineers, participate in code reviews, and provide technical guidance.
Summary Generated by Built In
Company Description

Redica Systems is the Intelligence Cloud for life sciences, transforming regulatory complexity into connected, proactive intelligence. Redica's platform helps the world's leading Pharmaceutical and MedTech companies stay inspection-ready, manage supplier risk, and keep pace with evolving global regulations. Built on the Redica Catalyst Platform and powered by Redica ID, Redica unifies the industry's most complete regulatory and inspection datasets, sourced from hundreds of global health authorities, into trusted intelligence for quality and regulatory teams. The Redica Intelligence Cloud brings data together to anticipate risk, accelerate compliance, and enable smarter, faster decisions across the enterprise. 

More information is available at redica.com.

Job Description

We're looking for an experienced Senior Data Engineer to take a hands-on role in designing, building, and optimizing our core data platform. You'll work on challenging technical problems, help shape architectural decisions, establish engineering best practices, and build scalable, high-quality data pipelines. You'll also have opportunities to mentor fellow engineers, contribute to code reviews, and provide technical guidance as the team grows.

Core Responsibilities 

  • Data Pipeline Development: Design, build, optimize, and maintain scalable ETL/ELT pipelines, APIs, and microservices for high-volume regulatory and health agency datasets.
  • Data Reliability & Integrity: Troubleshoot data quality issues and implement automated testing, monitoring, and validation to ensure data accuracy and reliability.
  • Architecture & Design: Contribute to technical design and architectural decisions, building scalable, maintainable solutions that support our evolving data platform.
  • System Integration: Integrate data pipelines with downstream NLP/ML services and search technologies, including the ELK stack.
  • Production Operations: Support production deployments, troubleshoot pipeline and database issues, and resolve complex technical incidents.
  • Cross-Functional Collaboration: Work closely with Engineering and Product teams to translate requirements into practical, well-designed technical solutions.

Qualifications

  • Tech Savvy: You effectively anticipate and adopt innovations in business-building technology solutions, staying up-to-date with data advancements and incorporating them into work processes.
  • Manages Complexity: You actively synthesize solutions from complex information by identifying patterns and developing effective problem-solving strategies to solve data-related problems effectively.
  • Decision Quality: You consistently make good and timely decisions that propel organizational progress and maintain data integrity.
  • Collaborates: You actively engage in collaborative problem-solving by leveraging diverse perspectives and finding innovative solutions to achieve shared goals and data engineering initiatives.
  • Optimizes Work Processes: You actively seek opportunities to enhance and streamline current work processes for managing data pipelines, ETL (Extract, Transform, Load) processes, and data warehousing.
  • Drives Results: You strive to continuously improve performance and exceed expectations to contribute to overall success and meet data-related deliverables.
  • Strategic Mindset: You consistently demonstrate a strategic mindset by envisioning future possibilities and successfully translating them into breakthrough data strategies, contributing to the organization's long-term success.
  • Engaged: You not only share our values but also possess the essential competencies needed to thrive at Redica, as outlined here.

Additional Information

Top Pharmaceutical 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. This enables them to quantify risk signals from their suppliers, identify market opportunities, benchmark against peers, and prepare for the latest inspection trends.

Our data and analytics have been cited by major media outlets, including MSNBC, The Wall Street Journal, and The Boston Globe. 

Skills Required

  • Effectively anticipate and adopt innovations in business-building technology solutions.
  • Stay current with data advancements and incorporate them into work processes.
  • Synthesize complex information, identify patterns, and develop effective data problem-solving strategies.
  • Make timely, high-quality decisions that maintain data integrity.
  • Collaborate with diverse perspectives to solve data engineering problems.
  • Optimize data pipelines, ETL processes, and data warehousing workflows.
  • Continuously improve performance and deliver data-related results.
  • Demonstrate a strategic mindset and translate future possibilities into data strategies.
  • Share company values and possess competencies needed to thrive at Redica.
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The Company
HQ: Pleasanton, CA
89 Employees
Year Founded: 2010

What We Do

Redica Systems is a data analytics platform to help regulated industries 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. With human expertise, machine learning, and automation, we assimilate, normalize, and organize large amounts of unstructured data to make sure all entities are represented and connected. The RedicaID provides a real-time view into evolving data by tracking inspections, enforcement actions, regulatory publications, and M&A activity. In a complex landscape that’s always in flux, the RedicaID is a reliable constant. Founded in 2010, Redica Systems serves over 200 customers in the pharma, biopharma, medtech, medical device, and food and cosmetics industries, including 19 of the top 20 pharma companies and 9 of the 10 top medical devices companies. The FDAzilla store is a wholly-owned subsidiary of Redica Systems. Redica Systems’ headquarters are in Pleasanton, CA. More information is available at www.redica.com.

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