Senior Data Engineer – AI, Cybersecurity
Rosie's People
part-time
Posted on:
Location Type: Remote
Location: Remote • 🇨🇦 Canada
Visit company websiteJob Level
Senior
Tech Stack
Amazon RedshiftAWSAzureCloudETLPythonSQL
About the role
- Work closely with our cyber risk, AI governance and compliance domain experts to ensure data acquisition and processing complies with all relevant regulations and ethical guidelines.
- Focus on acquiring high-quality data suitable for training AI/ML models while maintaining data privacy and security.
- Design and develop robust and scalable data pipelines using a variety of technologies, including AWS, Azure, and cloud-native services.
- Develop and maintain data warehouses, data lakes, and other data storage solutions, leveraging open-source solutions where feasible.
- Build and optimise ETL/ELT processes to extract, transform, and load data from various sources.
- Implement data quality checks and monitoring to ensure data accuracy and integrity.
- Collaborate with data scientists and machine learning engineers to support model development and deployment.
- Contribute to the development and implementation of data governance and security best practices.
- Stay abreast of the latest advancements in data engineering technologies and best practices.
- Mentor junior data engineers and contribute to team growth.
Requirements
- 5+ years of experience as a Data Engineer or a similar role.
- Strong experience with cloud platforms (AWS and/or Azure) and cloud-native services (e.g., AWS Glue, EMR, Redshift, Azure Data Factory, Databricks, Snowflake).
- Expertise in SQL, Python, and other relevant programming languages.
- Experience with data warehousing and data lake architectures.
- Experience with ETL/ELT tools and technologies.
- Experience with data quality and data validation techniques.
- Experience working with AI/ML teams and supporting model development.
- Strong understanding of data privacy and security regulations (e.g., GDPR, CCPA, NSCS, HIPAA) and ethical considerations in AI/ML.
- Excellent communication and collaboration skills.
- Experience working in a fast-paced, startup environment, ideally in a highly regulated industry (e.g., healthcare, finance) in the US.
Benefits
- Competitive equity package.
- Opportunity to work with cutting-edge technologies and transformative solutions.
- Flexible work environment - we are a remote-first company.
- Career development and growth opportunities.
- Dynamic and collaborative team culture.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data engineeringETLELTSQLPythondata warehousingdata lakedata qualitydata validationdata governance
Soft skills
communicationcollaborationmentoringteam growth