HDR

Technology

DataEngineer2

$95–135k ~AI est. Omaha, Nebraska, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Data Engineer 2 at HDR. Skills: Data engineering, Data pipelines, Data modeling, ETL/ELT. Build ingestion pipelines. Maintain ingestion pipelines”

Industry & Context.

Technology
Problems you'll solve

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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