Senior Data Engineer
Pleasanton, CA, United States
Applications have closed
REDICA Systems
Redica Systems provides Quality and Regulatory Intelligence to life sciences professionals. Request a demo today.Company Description
Redica Systems is a technology company using data, analytics, and expertise to deliver meaningful insights to quality and safety professionals in the Life Science industry. By applying artificial intelligence to large and disparate government datasets, we empower the champions of quality and safety with actionable data intelligence. Our customers rely on the Redica Platform to improve compliance, drive up efficiency, and build deeper institutional memory.
Headquartered in Pleasanton, CA we recently raised a Series B round of financing, and are rapidly writing our next chapter. We currently serve over 200 customers in the pharma, medical device, and food industries, including 19 of the top 20 pharma companies and 9 of the 10 top medical device companies.
There could be a role for you here, let's talk!
Job Description
We’re looking for an experienced Senior 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.
The ideal candidate will come with experience leading/mentoring a team of developers and maintaining a high bar of quality while remaining hands-on in the code.
Core Responsibilities
- General end-to-end software development to help data from intake to customer consumption
- Work in an Agile Scrum environment focusing on sustainable development of high-performance scalable and maintainable enterprise solutions
- Recommend and validate different ways to improve data reliability, efficiency, and quality
- Identify optimal approaches for resolving data quality or consistency issues
- Ensure successful system delivery to the production environment and assist the operations and support team in resolving production issues, as necessary
- Lead the acquisition of data from a variety of sources, intelligent change monitoring, data mapping, transformations, and analysis
- Develop, test, and maintain architectures for data stores, databases, processing systems, and microservices
- Discover opportunities for data acquisition, diagnostics, mapping, and correction
- Develop data set processes for data modeling, mining, and production
- Integrate data pipeline with NLP/ML services
About you
- A track record of being a self-starter and a team player, drawn to mentoring others and growing your own skillset within a fast-paced environment
- Ability to understand business objectives, collaborate across multi-disciplinary teams, participate in design and solutions, and clearly communicate to team members
Qualifications
- 5+ years of senior or lead developer experience with an emphasis on technical mentorship, code/system architecture, and quality output
- Extensive experience designing and building data pipelines, data APIs, and ETL/ELT processes
- Deep, hands-on experience in Python
- Hands-on experience setting up, configuring, and maintaining SQL and no-SQL databases (MySQL/MariaDB, PostgreSQL, MongoDB)
- Computer Science, Computer Engineering, or 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 with event-driven data architectures
- Experience with the ELK stack is a major plus (Elasticsearch, LogStash, Kibana)
Additional Information
Top Pharma Companies, Food Manufacturers, Medical Device 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile APIs Architecture AWS Computer Science Data pipelines Data quality DynamoDB Elasticsearch ELK ELT Engineering ETL Firehose Kibana Kinesis Lambda Logstash Machine Learning MariaDB Microservices MongoDB MySQL NLP Pipelines PostgreSQL Python Scrum SQL
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