Data Engineer designing and building data pipelines for PG&E's reliability initiatives. Engaging in continuous improvement and collaborating with various stakeholders in hybrid role.
About the role
- Participating in designing and developing data platforms for CVS Health's extensive healthcare data. Collaborating with teams to optimize data workflows and ensure data quality in a high-volume environment.
Responsibilities
- Design and develop highly scalable and extensible data platforms
- Collaborate with cross-functional teams to design, develop, and maintain data pipelines
- Optimize data workflows and ensure data quality
- Support data-related initiatives for data-driven decision-making
- Compile data from different sources ensuring compatibility and consistency
- Work with APIs, connectors, and cloud services
- Conduct data quality checks and validation processes
- Build efficient and scalable data pipelines
- Communicate effectively with technical and non-technical stakeholders
- Actively contribute to team meetings and collaborative projects
- Assist team members with tasks, timelines, and deliverables
Requirements
- Understanding of programming languages like R, Python, Node.JS and SQL
- Understanding of cloud technologies - Azure, GCP or AWS
- Understanding of LLMs and AI Agents
- Strong problem solving skills
- Experience working with stakeholders
- Experience working in teams
- Track record of delivering results
- Bachelor’s Degree in Computer Science, Engineering, Statistics, Physics, Math, or related field
Benefits
- Affordable medical plan options
- 401(k) plan (including matching company contributions)
- Employee stock purchase plan
- Wellness screenings
- Tobacco cessation and weight management programs
- Confidential counseling and financial coaching
- Paid time off
- Flexible work schedules
- Family leave
- Dependent care resources
- Colleague assistance programs
- Tuition assistance
- Retiree medical access
- Many other benefits depending on eligibility
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Senior Test Data Engineer creating non‑production test data ecosystem at Signet Jewelers. Designing modern TDM practices and building automation for data provisioning and monitoring.
Full Stack Data Engineer responsible for building and optimizing data pipelines and lakehouse architectures. Collaborating with teams to ensure data quality and delivering analytics - ready datasets.
Data Engineer supporting Department of Defense programs by designing and maintaining scalable ETL pipelines. Collaborating with cross - functional teams and ensuring data integrity in analytics solutions.
Lead Data Engineer overseeing ETL processes and data management at AI & Data Engineering team in Pune, India.
Data Engineer building and maintaining Azure data pipelines for analytical use cases at Manulife. Collaborating with teams to support business while aligning with IT security.
AI/ML/Data Engineer building production - grade AI solutions for Bragg's iGaming platform. Collaborating with teams to develop innovative data infrastructures and ML models.
Principal Data Architect delivering IT solutions for Waste Management's IT architecture needs. Focus on software development, integration, and mentoring team members.
Data Engineer developing data pipelines for a top 10 national professional services firm, managing cloud engineering solutions across Azure and Databricks with a collaborative team.
Lead Data Engineer focusing on growing technical skills and supporting clients in Amsterdam. Guiding development teams and ensuring quality technical oversight across projects.