Job Description
DPR is a leading construction company committed to delivering high-quality innovative projects. Our team integrates cutting-edge technologies into the construction process to streamline operations enhance decision-making and drive efficiency at all levels. We are looking for a Data Engineer to join our team and contribute to developing robust data solutions that support our business goals.
The Data Engineer Integrations Platform will be instrumental in the design and implementation of scalable cloud-native solutions to meet the growing needs of our Data and AI team. We are looking for a Data Engineer who excels at abstracting complexity and building reusable scalable patterns. The Data Engineer Integrations Platform will develop tools patterns and frameworks to support the development and maintenance of ETL pipelines across DPRs data teams and collaborate with the team to implement a long-term DevOps and ML Ops strategy.
Responsibilities
- Design distributed cloud-native scalable architecture for data and ML pipelines
- Develop CI/CD pipelines and pipeline templates to be used across data engineering team
- Develop and maintain ETL pipelines to move data in real-time/stream on-demand and batch modes (inbound into central warehouse outbound to other systems or point-to-point between systems) emphasizing security reusability and data quality
- Develop data pipelines in snowflake to process data across stages in data warehouse
- Leverage Infrastructure-as-code platforms such as Terraform and Bicep to automate infrastructure provisioning and streamline deployments
- Lead the Implementation and management of APM and observability tools such as Azure App Insights or Datadog to monitor infrastructure and processes
- Establish engineering controls through branch policies gates static analyzers etc. to ensure best practices are followed
- Contribute to preventive maintenance technical debt reduction and the promotion of clean code principles
- Manage and maintain cloud infrastructure in both Azure and AWS environments
Qualifications
- Bachelors degree in Computer Science Information Systems or a related field
- 3-5 years of experience in Data Engineering Software Engineering or Site Reliability Engineering
- Strong understanding of cloud infrastructure and experience working with at least one major cloud provider
- Excellent troubleshooting and debugging skills with a focus on data integrity and system optimization
Preferred Skills
- Experience with CI/CD processes and automation
- Proficiency with at least one objected-oriented programming language preferably python
- Proficiency with Snowflake
- Scripting Experience (PowerShell Bash etc.)
- Experience with Infrastructure as Code tools such as Terraform Pulumi Bicep and Helm
- Experience with containerized application deployments (Docker) and container orchestration experience with Kubernetes would be a huge plus
- Experience with ETL tools and frameworks such as Fivetran Azure Data Factory and Apache NiFi
- Experience with APM and observability tools such as Datadog Azure Monitor or AWS CloudWatch
- Experience with Job orchestration platforms such as Apache Airflow or Prefect
- Experience deploying production-ready machine learning models
DPR Construction is a forward-thinking self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology life sciences healthcare higher education and commercial markets. Founded in 1990 DPR is a great story of entrepreneurial success as a private employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world.
Working at DPR youll have the chance to try new things explore unique paths and shape your future. Here we build opportunity togetherby harnessing our talents enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report Forbes Fast Company and Newsweek.
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