HDR
Technology
DataEngineer2
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Engineer 2 at HDR. Skills: Data engineering, Data pipelines, Data modeling, ETL/ELT. Build ingestion pipelines. Maintain ingestion pipelines”
Industry & Context.
Root cause analysis
What They're Looking For.
Must Have
Bachelor’s degree in Computer Science, Equivalent practical experience, Minimum 3 years of experience, Proven SQL proficiency, Experience building transformations, Experience building pipelines, Familiarity with cloud data platforms, Familiarity with modern ELT patterns
Nice to Have
Dbt Cloud or dbt Core experience, Git-integrated workflows experience, Experience with orchestration tools, Experience implementing CI/CD quality gates
What You'll Do.
Build ingestion pipelines
Maintain ingestion pipelines
Implement error handling
Implement recovery patterns
Collaborate on connectivity
Collaborate on access
Collaborate on operational readiness
Develop transformation models
Use dependency management
Leverage reusable components
Implement incremental processing
Implement data quality tests
Configure freshness expectations
Monitor freshness expectations
Maintain model documentation
Maintain column documentation
Publish documentation
Enable impact analysis
Enable change management
Integrate transformations into CI/CD
Promote to higher environments
Participate in code reviews
Follow branching standards
Adhere to quality gates
Adhere to approval processes
Support release practices
Support rollback practices
Tune transformations for performance
Support monitoring for pipelines
Support alerting for pipelines
Perform root cause analysis
Document operational procedures
Contribute to runbooks
Contribute to playbooks
How You'll Work.
Team & Collaboration
Collaborate with platform teams; Partner with stakeholders
Process & Methodology
CI/CD workflows, Quality gates, Approval processes, Release practices, Rollback practices
Full Job Description
At HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas to work every day. As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world? Watch Our Story: ' https://www.hdrinc.com/our-story' Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world. In the role of Data Engineer 2, we'll count on you to: •Build and maintain batch and streaming ingestion pipelines from source systems into the enterprise data platform. •Implement robust error handling, retries, and recovery patterns to improve reliability. •Collaborate with platform teams on connectivity, access, and operational readiness. •Develop transformation models using a layered structure (raw, conformed, curated) to separate concerns and improve maintainability. •Use dependency management patterns to ensure correct build order and reproducible transformations. •Leverage shared code and reusable components to standardize patterns, reduce duplication, and enforce consistent logic. •Implement incremental processing where appropriate to reduce runtime and warehouse cost. •Implement data quality tests (e.g., unique, not_null, accepted_values) on critical models and key business entities. •Configure and monitor source freshness expectations for important upstream datasets. •Maintain model and column-level documentation; publish documentation and lineage to enable impact analysis and change management. •Integrate transformations into CI/CD workflows (build, test, docs generation) before promotion to higher environments. •Participate in code reviews, follow branching standards, and adhere to quality gates and
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