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 developing and maintaining data integration pipelines in our Enterprise Data Platform. Collaborating with cross-functional teams to ensure data accuracy and accessibility.
Responsibilities
- Develop and maintain data pipelines to process and integrate data from multiple sources into the Enterprise Data Platform.
- Build and optimize SQL queries and data transformations to support Data Engineering use cases
- Perform data validation and troubleshooting of data pipelines to ensure data accuracy and consistency.
- Automate workflows to improve data processing efficiency and reduce manual effort.
- Monitor and optimize the performance of data pipelines and queries.
- Participate in Agile ceremonies to plan, estimate, and deliver work
- Assist in creating documentation for data workflows, transformations, and standards.
Requirements
- Bachelor's degree in Computer Science, Information Systems, or a related
- 2 or more years of experience in data engineering or related role
- Proficiency in SQL for data transformation and analysis
- Knowledge of Python or Py-Spark for data processing
- Familiarity with cloud-based data platforms such as Snowflake, Databricks, or similar tools
- Experience with ETL tools and frameworks like Informatica, Talend, Boomi or equivalent
- Understanding of data modeling concepts and database design principles
Benefits
- Comprehensive healthcare plans
- Wellness incentive program
- Mental wellbeing support
- Fitness reimbursement
- Bonus incentive opportunity
- Matching 401(k)
- Stock purchase plan
- Career development opportunities
- Employee resource groups
- On-demand learning
- Tuition reimbursement
- Paid-time off
- Parental leave
- Flexible work-schedules
- Volunteer opportunities
Job title
Job type
Experience level
Salary
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.