Associate Data Engineer supporting privacy engineering controls and executing privacy impact assessments in a financial services company. Collaborating across business units to ensure alignment with privacy regulations.
About the role
- Data Engineer joining TRINETIX to develop efficient data solutions for an American client with a focus on scalability and collaboration.
Responsibilities
- Setting up data imports from external data sources (DB, CSV, API)
- Building highly scalable pipelines to process high-volume data for reporting and analytics consumption
- Designing data assets that support experimental and organizational processes, and are efficient and easy to work with
- Close cooperation with engineers, data scientists, product managers, and business teams to make sure data products are aligned with organizational needs
Requirements
- BS+ in computer science or equivalent experience
- 3+ years of experience in Data Engineering
- 3+ years of experience with Python
- Strong experience with AWS stack: Glue, Athena, EMR Serverless, Kinesis, Redshift, Lambda, Step Functions, SQS/SNS
- Experience with Spark, PySpark, Iceberg, Delta lake, Aurora DB, DynamoDB
- Nice-to-haves: Data modeling and managing data transformation jobs with high volume and timing requirements experience
- AWS CodePipeline, Beanstalk, Azure DevOps, Cloud Formation
- Profound skill to collaborate with cross functional teams, including communicating effectively with people of varying levels of technical knowledge
- Readiness to learn new technologies
Benefits
- Paid training programs and English/Spanish language courses
- Medical insurance, sports program compensation, pet care and other benefits compensation program, which can be selected by each employee according to personal preferences
- Comfortable working hours
- Awesome team events and a wide variety of knowledge sharing opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Data Engineer at CVS Health optimizing data pipelines and analytical models. Driving data - driven decisions with healthcare data for improved business outcomes.
Senior Data Engineer at CVS Health developing robust data pipelines for healthcare data. Collaborating with teams to provide actionable insights and integrate them with consumer touchpoints.
Senior Data Engineer supporting AI - enabled financial compliance initiative with data pipelines and ingestion processes. Collaborating with diverse teams in a mission - critical regulated environment.
Data Architect leading the definition and construction of cloud data architecture for Kyndryl. Participating in significant technological modernization initiatives, focusing on Google Cloud Platform.
Senior Data Engineer driving data intelligence requirements and scalable data solutions for a global consulting firm. Collaborating across functions to enhance Microsoft architecture and analytics capabilities.
Experienced AI Engineer designing and building production - grade agentic AI systems using generative AI and large language models. Collaborating with data engineers, data scientists in a tech - driven company.
Intermediate Data Engineer designing and building data pipelines for travel industry data management. Collaborating across teams to ensure reliable data for analytics and reporting.
Data Engineer managing and organizing datasets for AI models at Walaris, developing AI - driven autonomous systems for defense and security applications.
Data Engineer designing and maintaining data pipelines at Black Semiconductor. Collaborating with process, equipment, and IT teams to support manufacturing analytics and decision - making.