The Role
We’re looking for an experienced Data Engineer II 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
- Creates new documentation for components they work on
- May provide on-call support for their team
- Writes correct and clean code with minimal guidance; consistently follows best practices
- Rarely makes the same technical mistake twice, begins to focus on attaining expertise in one or more areas from Data engineering, Data modeling, Data testing, Data pipeline orchestration, etc.
- Contributes to code used by others
- Makes steady progress on tasks and asks for help when blocked
- Ensures adequate testing (automated and manual)
- Prioritizes tasks and focuses on important details
- Deep expertise in the company's technology stack and programming languages relevant to their team
- High-level understanding of how their team's technology stack interacts with other teams' systems and tools
About you
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Tech Savvy: Actively adopting and incorporating new tools and frameworks into projects
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Manages Complexity: Proficient in managing complexity, integrating various systems seamlessly
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Plans and Aligns: Able to create and follow a project plan and align tasks with organizational goals
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Collaborates: Able to work effectively with team members and contribute to shared objectives
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Manages Ambiguity: Able to handle moderate ambiguity, adapt to changing requirements
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Engaged: You share our values and possess the essential competencies needed to thrive at Redica, as outlined here: https://redica.com/about-us/careers/
- 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 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 Snowflake, DBT, and Airflow is a major plus
- 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 with both batch and event-driven data architectures
It’s a dynamic role blending regulatory expertise with data management and process improvement in a tech-forward environment. We offer competitive salaries, comprehensive benefits packages, and a dynamic work environment where you can foster growth and develop your skills.
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 to quantify risk signals about their suppliers, identify market opportunities, benchmark against their peers, and prepare for the latest inspection trends. Major media outlets such as MSNBC, WSJ, and the Boston Globe have cited our data and analytics.
We are committed to creating a diverse and inclusive workplace where everyone feels welcomed and valued. We believe diversity of perspectives, backgrounds, and experiences is essential to our success. We are always looking for talented individuals who can bring unique skills and perspectives to our team.
All your information will be kept confidential according to EEO guidelines.
