Data Engineer II - Build Scalable Data Pipelines

HDR; Omaha (NE); On-site; USD 85,000 - 110,000; Full time

Job summary

HDR is seeking a Data Engineer II to design and maintain batch and streaming data pipelines, ensuring robust reliability and scalable transformations. The role collaborates with platform teams to manage connectivity, access, and operational readiness, and to implement CI/CD processes for data workflows.

Applicants should have a strong SQL background, experience with cloud data platforms, and a track record of building maintainable ELT pipelines in enterprise environments.

Qualifications

• Bachelor's degree or equivalent practical experience in a relevant field.
• 3+ years of experience in data engineering, data integration, or related roles.
• Proven SQL proficiency and experience building transformations and pipelines.
• Familiarity with cloud data platforms and modern ELT patterns.

Responsibilities

• 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 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 and enforce consistent logic.
• Implement incremental processing to reduce runtime and warehouse cost.
• Configure and monitor source freshness expectations for important upstream datasets.
• Maintain model and column-level documentation and publish lineage for impact analysis.

Skills

SQL proficiency

Data integration

ETL/ELT

Cloud platforms

Education

Bachelor's degree in Computer Science, Information Systems, Data Engineering, or equivalent practical experience

Job description

HDR is seeking a Data Engineer II to design and maintain batch and streaming data pipelines, ensuring robust reliability and scalable transformations. The role collaborates with platform teams to manage connectivity, access, and operational readiness, and to implement CI/CD processes for data workflows.

Applicants should have a strong SQL background, experience with cloud data platforms, and a track record of building maintainable ELT pipelines in enterprise environments.