MatchPoint Solutions is a fast-growing global IT and Engineering services firm delivering innovative technology solutions to leading enterprises including Uber Robinhood Netflix Airbnb Google and more. With a growing international presence across North America Europe Asia and South America we help organizations turn ideas into outcomes through cutting-edge technology industry best practices and deep technical expertise.
Were expanding our team and looking for driven professionals who want to build impactful solutions in a collaborative high-growth environment.
Job Title: Devops/Data Engineer
Location: San Ramon CA (Onsite)
Duration: 12 Months
Employment Type: Contract
Pay Rate Range: $75 to $80
Responsibilities
Data Engineering
Design develop and maintain scalable ETL/ELT pipelines for data integration and processing.
Build and optimize data models data warehouses and data lakes.
Integrate data from multiple sources including APIs databases and cloud platforms.
Monitor and improve data quality integrity and performance.
Support batch and real-time data processing workflows.
Troubleshoot and resolve data pipeline and system issues.
DevOps Engineering
Build and maintain CI/CD pipelines to automate application and infrastructure deployments.
Manage cloud infrastructure using Infrastructure as Code (IaC) tools such as Terraform or CloudFormation.
Deploy and manage containerized applications using Docker and Kubernetes.
Monitor system health application performance and infrastructure reliability.
Automate operational tasks deployments and environment provisioning.
Support incident response troubleshooting and root cause analysis.
Cloud & Infrastructure
Manage cloud services and environments across AWS Azure or Google Cloud Platform.
Implement security backup disaster recovery and compliance best practices.
Collaborate with engineering teams to optimize scalability performance and cost efficiency.
Maintain system documentation deployment procedures and operational standards.
Collaboration & Support
Work closely with developers analysts and business stakeholders to deliver technical solutions.
Participate in Agile/Scrum ceremonies and project planning.
Provide technical support for production and non-production environments.
Contribute to process improvements and automation initiatives.
Required Qualifications
Bachelors degree in Computer Science Engineering Information Technology or related field.
4 years of experience in Data Engineering DevOps or Cloud Engineering roles.
Strong programming and scripting skills in Python SQL Bash or Java.
Experience with ETL tools and big data technologies such as Spark Kafka or Hadoop.
Hands-on experience with CI/CD tools such as Jenkins GitHub Actions GitLab CI/CD or Azure DevOps.
Experience with Docker Kubernetes and container orchestration.
Familiarity with cloud platforms such as AWS Azure or GCP.
Knowledge of Infrastructure as Code tools such as Terraform or CloudFormation.
Strong understanding of Linux systems and system administration.
Preferred Qualifications
Experience with Snowflake Databricks Redshift or BigQuery.
Cloud or DevOps certifications (AWS Azure Kubernetes Terraform etc.).
Experience with monitoring tools such as Grafana Prometheus Splunk or Datadog.
Familiarity with data governance and security best practices.
Experience working in Agile development environments.
Key Skills
Data Engineering
DevOps Automation
CI/CD Pipelines
Cloud Platforms (AWS/Azure/GCP)
ETL/ELT Development
Docker & Kubernetes
Infrastructure as Code
SQL & Python
Monitoring & Troubleshooting
System Reliability & Performance Optimization
Equal Employment Opportunity
MatchPoint Solutions is an equal opportunity employer. We are committed to providing equal employment opportunities to all employees and applicants and do not tolerate discrimination or harassment of any kind. Employment decisions are made without regard to race color religion age sex national origin disability genetic information protected veteran status sexual orientation gender identity or expression or any other characteristic protected by applicable federal state or local laws.
This policy applies to all aspects of employment including recruitment hiring placement promotion termination layoffs recall transfers leaves of absence compensation and training.
About MatchPoint Solutions MatchPoint Solutions is a fast-growing global IT and Engineering services firm delivering innovative technology solutions to leading enterprises including Uber Robinhood Netflix Airbnb Google and more. With a growing international presence across North America Europe Asia ...
About MatchPoint Solutions
MatchPoint Solutions is a fast-growing global IT and Engineering services firm delivering innovative technology solutions to leading enterprises including Uber Robinhood Netflix Airbnb Google and more. With a growing international presence across North America Europe Asia and South America we help organizations turn ideas into outcomes through cutting-edge technology industry best practices and deep technical expertise.
Were expanding our team and looking for driven professionals who want to build impactful solutions in a collaborative high-growth environment.
Job Title: Devops/Data Engineer
Location: San Ramon CA (Onsite)
Duration: 12 Months
Employment Type: Contract
Pay Rate Range: $75 to $80
Responsibilities
Data Engineering
Design develop and maintain scalable ETL/ELT pipelines for data integration and processing.
Build and optimize data models data warehouses and data lakes.
Integrate data from multiple sources including APIs databases and cloud platforms.
Monitor and improve data quality integrity and performance.
Support batch and real-time data processing workflows.
Troubleshoot and resolve data pipeline and system issues.
DevOps Engineering
Build and maintain CI/CD pipelines to automate application and infrastructure deployments.
Manage cloud infrastructure using Infrastructure as Code (IaC) tools such as Terraform or CloudFormation.
Deploy and manage containerized applications using Docker and Kubernetes.
Monitor system health application performance and infrastructure reliability.
Automate operational tasks deployments and environment provisioning.
Support incident response troubleshooting and root cause analysis.
Cloud & Infrastructure
Manage cloud services and environments across AWS Azure or Google Cloud Platform.
Implement security backup disaster recovery and compliance best practices.
Collaborate with engineering teams to optimize scalability performance and cost efficiency.
Maintain system documentation deployment procedures and operational standards.
Collaboration & Support
Work closely with developers analysts and business stakeholders to deliver technical solutions.
Participate in Agile/Scrum ceremonies and project planning.
Provide technical support for production and non-production environments.
Contribute to process improvements and automation initiatives.
Required Qualifications
Bachelors degree in Computer Science Engineering Information Technology or related field.
4 years of experience in Data Engineering DevOps or Cloud Engineering roles.
Strong programming and scripting skills in Python SQL Bash or Java.
Experience with ETL tools and big data technologies such as Spark Kafka or Hadoop.
Hands-on experience with CI/CD tools such as Jenkins GitHub Actions GitLab CI/CD or Azure DevOps.
Experience with Docker Kubernetes and container orchestration.
Familiarity with cloud platforms such as AWS Azure or GCP.
Knowledge of Infrastructure as Code tools such as Terraform or CloudFormation.
Strong understanding of Linux systems and system administration.
Preferred Qualifications
Experience with Snowflake Databricks Redshift or BigQuery.
Cloud or DevOps certifications (AWS Azure Kubernetes Terraform etc.).
Experience with monitoring tools such as Grafana Prometheus Splunk or Datadog.
Familiarity with data governance and security best practices.
Experience working in Agile development environments.
Key Skills
Data Engineering
DevOps Automation
CI/CD Pipelines
Cloud Platforms (AWS/Azure/GCP)
ETL/ELT Development
Docker & Kubernetes
Infrastructure as Code
SQL & Python
Monitoring & Troubleshooting
System Reliability & Performance Optimization
Equal Employment Opportunity
MatchPoint Solutions is an equal opportunity employer. We are committed to providing equal employment opportunities to all employees and applicants and do not tolerate discrimination or harassment of any kind. Employment decisions are made without regard to race color religion age sex national origin disability genetic information protected veteran status sexual orientation gender identity or expression or any other characteristic protected by applicable federal state or local laws.
This policy applies to all aspects of employment including recruitment hiring placement promotion termination layoffs recall transfers leaves of absence compensation and training.