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Senior Data Engineer

Pleasanton, CA, United States

Pay
Pay not listedSimilar roles state $127K–$190K
Work setting
Remote — work setting source
Work setup in the employer’s posting: Remote
From the employer’s posting
Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
Apply at REDICA Systems

What you’ll work on

Full posting
  • Design, build, and maintain scalable ETL/ELT pipelines, APIs, and microservices

  • Troubleshoot data quality issues and add automated testing and monitoring

  • Integrate pipelines with downstream NLP/ML services and search, including ELK

  • Support production deployments and resolve complex pipeline and database incidents

  • Contribute to technical design and architectural decisions

From the employer’s posting
Design, build, optimize, and maintain scalable ETL/ELT pipelines, APIs, and microservices
Troubleshoot data quality issues and implement automated testing, monitoring, and validation
Integrate data pipelines with downstream NLP/ML services and search technologies, including the ELK stack
Support production deployments, troubleshoot pipeline and database issues, and resolve complex technical incidents
Contribute to technical design and architectural decisions

Posting record

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Actively hiringFirst seen by us 11 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Oct 19, 2026 · 11 days ago
Recorded sightings
15
Last seen by us
Oct 31, 2026

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Job description

View original posting ↗

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. 

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.

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Pay

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Location & working pattern

Pleasanton, CA, United States

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