Data Engineer I, Data Products

. Crane Worldwide Logistics . • Houston, TX

1d

About The Position

The Data Engineer I, Data Products authors and reviews schemas and data contracts for consistency and governance, and develops and optimizes dbt models for Snowflake and Materialize analytics layers. The role applies medallion architecture (bronze/silver/gold) to data modeling, configures clusters and role-based access for shared environments, and documents datasets so teams can discover and use them appropriately. The Data Engineer partners with BI developers, analysts, and business teams to deliver reporting- and dashboard-ready datasets, investigates and resolves data issues with durable fixes, and participates in design reviews to align technical solutions with business requirements.

Applicants must be legally authorized to work in the United States on a full-time, ongoing basis without current or future employer sponsorship. The job requires use of vision and focus adjustment while working at a standard computer screen, and may require extended sitting or standing and use of standard office equipment. Crane describes its benefits and workplace programs below. The job description notes that responsibilities may extend beyond those listed and that reasonable accommodations may be made for individuals with disabilities. The workplace is drug-free; pre-employment substance abuse testing and a successful E-Verify check are required for the final candidate. Benefits are subject to eligibility requirements and plan conditions.

Requirements

• Bachelor’s degree in computer/software engineering, computer science, mathematics, or physics.
• 0–3 years of prior experience in a data engineering or data-heavy backend software engineering role.
• Expertise in dbt, data modeling, Snowflake, Kafka, and SQL.
• Legally authorized to work in the United States on a full-time, ongoing basis without the need for current or future employer sponsorship.
• Ability to use vision and adjust focus while working on a standard computer screen.
• Ability to meet potential extended sitting or standing requirements and use standard office equipment.
• Final candidate must successfully pass an E-Verify check.
• Pre-employment substance abuse testing is required.

Responsibilities

• Author and review schemas and data contracts for consistency and governance.
• Develop and optimize dbt models for Snowflake and Materialize analytics layers.
• Apply medallion architecture (bronze/silver/gold layering) for data modeling.
• Configure clusters and role-based access for shared environments.
• Document datasets to ensure discoverability and proper usage across teams.
• Partner with BI developers, analysts, and business teams to deliver reporting- and dashboard-ready datasets.
• Investigate and resolve data issues, implementing durable fixes rather than temporary workarounds.
• Participate in design reviews to align technical solutions with business requirements.

Benefits

• Quarterly Incentive Plan.
• 136 hours of paid time off per year (17 days), usable for sick time or personal use.
• Medical, dental, and vision benefits.
• Tuition reimbursement for education related to the job.
• Employee referral bonuses.
• Employee recognition and rewards program.
• Paid volunteer time.
• Employee discounts.
• Wellness incentives of up to $100 per year for completing challenges, plus a discount on contribution rates.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level