[Remote] DataOps & Build Engineer
Note: The job is a remote job and is open to candidates in USA. ALOIS Solutions is seeking an experienced DataOps & Build Engineer to help architect and scale a next-generation, cloud-native data platform. This role involves defining a DataOps framework, establishing best practices for data pipeline development, and implementing CI/CD pipelines for data infrastructure.
Responsibilities
⢠Define and champion a DataOps framework covering release management, environment promotion, and data quality standards
⢠Establish and enforce best practices & SOPs for data pipeline development, testing, and deployment
⢠Design and implement CI/CD pipelines for data code and data infrastructure
⢠Build and manage data workflows using Dagster or Talend, with a strong focus on automation and reliability
⢠Enforce Git best practices (branching strategies, repo standards, versioning) across data teams
⢠Partner with Infrastructure teams to implement Infrastructure as Code (IaC) in AWS
⢠Design resilient pipelines with automated rollback and failure recovery
⢠Implement monitoring, logging, and alerting to ensure visibility into pipeline health and performance
⢠Ensure security and compliance through IAM, encryption, and cloud best practices
⢠Implement automated testing and data quality checks (schema validation, data integrity, drift detection)
⢠Drive cloud cost optimization and efficient resource usage across data workloads
Skills
⢠8+ years of experience in Data Engineering, DevOps, or DataOps roles
⢠Proven, hands-on experience implementing CI/CD for data pipelines and data infrastructure
⢠Strong understanding of data warehousing, ETL/ELT, and cloud-native architectures
⢠Deep AWS experience (S3, IAM, networking, security)
⢠An automation-first mindset ā you eliminate manual work wherever possible
⢠Strong collaboration and communication skills; comfortable working across data, infra, and security teams
⢠Insurance industry experience is a plus, but not required
Company Overview
⢠ALOIS Solutions is a rapidly expanding Talent and Technology Solutions company. It was founded in 2017, and is headquartered in San Francisco, California, USA, with a workforce of 1001-5000 employees. Its website is https://www.aloissolutions.com.
Apply Now
Apply Now
Responsibilities
⢠Define and champion a DataOps framework covering release management, environment promotion, and data quality standards
⢠Establish and enforce best practices & SOPs for data pipeline development, testing, and deployment
⢠Design and implement CI/CD pipelines for data code and data infrastructure
⢠Build and manage data workflows using Dagster or Talend, with a strong focus on automation and reliability
⢠Enforce Git best practices (branching strategies, repo standards, versioning) across data teams
⢠Partner with Infrastructure teams to implement Infrastructure as Code (IaC) in AWS
⢠Design resilient pipelines with automated rollback and failure recovery
⢠Implement monitoring, logging, and alerting to ensure visibility into pipeline health and performance
⢠Ensure security and compliance through IAM, encryption, and cloud best practices
⢠Implement automated testing and data quality checks (schema validation, data integrity, drift detection)
⢠Drive cloud cost optimization and efficient resource usage across data workloads
Skills
⢠8+ years of experience in Data Engineering, DevOps, or DataOps roles
⢠Proven, hands-on experience implementing CI/CD for data pipelines and data infrastructure
⢠Strong understanding of data warehousing, ETL/ELT, and cloud-native architectures
⢠Deep AWS experience (S3, IAM, networking, security)
⢠An automation-first mindset ā you eliminate manual work wherever possible
⢠Strong collaboration and communication skills; comfortable working across data, infra, and security teams
⢠Insurance industry experience is a plus, but not required
Company Overview
⢠ALOIS Solutions is a rapidly expanding Talent and Technology Solutions company. It was founded in 2017, and is headquartered in San Francisco, California, USA, with a workforce of 1001-5000 employees. Its website is https://www.aloissolutions.com.
Apply Now
Apply Now