Note: The job is a remote job and is open to candidates in USA. Crane Worldwide Logistics is hiring a Data Engineer I to develop and optimize governed data models and analytics layers. The role supports data discoverability, resolves data issues, and partners with analytics and business teams to deliver reporting-ready datasets.

Responsibilities

• Author and review schemas and data contracts for consistency and governance
• Develop and optimize dbt models for Snowflake and Materialize analytics layers
• Understand and 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/dashboard-ready datasets
• Investigate and resolve data issues, ensuring durable (not band-aid) fixes
• Participate in design reviews to align technical solutions with business requirements

Skills

• Expertise in DBT, Data modeling, Snowflake, Kafka and SQL
• Bachelor's degree in computer/software engineering, computer science, Maths or Physics is required
• 0-3 years prior experience in a data engineering or data-heavy backend software engineering role
• Applicants must be legally authorized to work in the United States on a full-time, ongoing basis without the need for current or future employer sponsorship

Benefits

• Quarterly Incentive Plan
• 136 hours of Paid Time Off which equals 17 days for the year, that can be used for Sick Time or for Personal Use
• Excellent Medical, Dental and Vision benefits
• Tuition Reimbursement for education related to your job
• Employee Referral Bonuses
• Employee Recognition and Rewards Program
• Paid Volunteer Time to support a cause that is close to your heart and contributes to our communities
• Employee Discounts
• Wellness Incentives that can go up to $100 per year for completing challenges, in addition to a discount on contribution rates
• Remote work
• Company benefits are contingent upon meeting eligibility requirements and plan conditions.

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