Data Engineering Intern at Efficy supporting data management and ETL pipeline development. Collaborate with teams and contribute to the enhancement of data architecture.
About the role
- Senior AI Data Pipeline Engineer building scalable data pipelines and optimizing AI workflows at Trimble. Designing architectures that enhance digital construction technology across industries.
Responsibilities
- Design, build, and optimize scalable batch and real-time data pipelines
- Manage and administer Databricks workspaces, clusters, jobs, and performance tuning
- Develop and maintain streaming architectures using Kafka
- Implement and manage Change Data Capture (CDC) pipelines using Debezium connectors
- Deploy, monitor, and manage containerized workloads using Kubernetes
- Implement CI/CD practices for data engineering workflows
- Ensure data quality, observability, governance, and security best practices
- Collaborate with data scientists, ML engineers, and software engineers to deliver production-grade data solutions
- Support and optimize AI/ML data pipelines and model deployment workflows
- Troubleshoot production issues and implement performance improvements
Requirements
- 3+ years of experience in data engineering or a related field
- Strong hands-on experience managing and optimizing Databricks
- Experience building and maintaining streaming pipelines with Kafka
- Experience implementing Change Data Capture (CDC) using Debezium connectors
- Practical experience deploying and operating services in Kubernetes
- Strong proficiency in Python and/or Scala
- Experience with SQL and distributed data processing frameworks (e.g., Spark)
- Familiarity with cloud platforms (AWS, Azure, or GCP)
- Experience with infrastructure-as-code tools (Terraform, etc.)
- Strong understanding of distributed systems concepts
Benefits
- Medical
- Dental
- Vision
- Life
- Disability
- Time off plans
- Retirement plans
- Paid Parental Leave
- Employee Stock Purchase Plan
- Tax savings plans for health, dependent care and commuter expenses
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Senior Data Engineer building and optimizing data pipelines for Garner Health. Seeking a candidate with experience in AWS, SQL, and Python with a mission - driven mindset.
Data Engineer (GCP) designing and maintaining scalable data platforms at LUZA Group in Portugal. Collaborating and ensuring data integrity across multiple complex datasets.
Data Architect at Integrant responsible for designing and building data solutions for analytical purposes. Involves eliciting requirements, data pipelines, and coaching teams on methodologies.
Senior Data Engineer developing and maintaining data pipelines for clients in an Agile setting. Collaborating with teams to enhance data quality and mentoring junior engineers.
Lead Data Engineer overseeing the migration from Redshift to AWS RDS and mentoring data analysts in Python and DataOps practices.
Senior Data Engineer designing and maintaining scalable data pipelines using modern technologies. Collaborating with cross - functional teams and providing mentorship in a dynamic environment.
Data Architect leading design and implementation of cloud data platforms for digital transformation. Collaborating with stakeholders to define data strategies and governance models.
Data Engineer Consultant designing and optimizing data infrastructure for clients' business needs. Working with SQL and data visualization tools in a mainly remote role with some onsite responsibilities in Denver.
Data Engineer creating Real - Time Data Processing applications for a leading iGaming operator. Work involves stream data manipulation and collaboration in an Agile environment.