Data Engineer 2

Fashion Institute of Design & Merchandising; Omaha (NE); On-site; USD 80,000 - 100,000; Full time

Job summary

Fashion Institute of Design & Merchandising is looking for a Data Engineer in Omaha, NE. The role focuses on building and maintaining data ingestion pipelines, implementing data quality tests, and collaborating with teams to ensure operational readiness.

The ideal candidate will have a Bachelor’s degree in Computer Science, at least 3 years of relevant experience, and proficiency in SQL. This is a full-time position with regular employment status.

Qualifications

• Minimum 3 years of experience in data engineering or related roles.
• Proven SQL proficiency and experience with data transformations.
• Hands-on experience with dbt Cloud or dbt Core.

Responsibilities

• Build and maintain data ingestion pipelines.
• Collaborate with platform teams on operational readiness.
• Implement data quality tests on critical models.

Skills

SQL proficiency

Data engineering

Data integration

CI/CD practices

Cloud data platforms

Education

Bachelor’s degree in Computer Science

Tools

dbt Cloud

Airflow

Git

Job description

At HDR, we are committed to the principles of employment equity. We are an affirmative action and equal opportunity employer and consider all qualified applicants, regardless of criminal histories, arrest, and conviction records.

Job 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 (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 approval processes.
• Support release and rollback practices to maintain stability and reduce risk.
• Tune transformations for performance and efficiency; partner with stakeholders to manage cost impacts.
• Support monitoring and alerting for pipelines and transformations; respond to incidents and perform root cause analysis.
• Document operational procedures and contribute to runbooks/playbooks.

Preferred Qualifications

• Hands‑on experience with dbt Cloud or dbt Core in Git‑integrated workflows.
• Experience with orchestration tools (e.g., Airflow, Dagster, Prefect) and scheduling patterns.
• Experience implementing CI/CD quality gates for data (tests, linting, docs artifacts).

Required Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or equivalent practical experience.
• Minimum 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.

Location

Primary Location

Schedule

Full‑time

Employee Status

Regular

Job Posting

May 27, 2026