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. • 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. 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 .

Requirements

Must-haves

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.
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.
Engaged: You not only share our values but also possess the essential competencies needed to thrive at Redica, as outlined here.
Our data and analytics have been cited by major media outlets, including MSNBC, The Wall Street Journal , and The Boston Globe .

Nice-to-haves

None flagged.

Application prep

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Keywords to mirror

Platform: smartrecruiters
Effort: medium

Benefits

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