Data Engineer II, Data Products

. Crane Worldwide Logistics . • Houston, TX

3d

About The Position

ESSENTIAL JOB FUNCTIONS Data Pipeline & Platform Development Build and maintain pipelines using dbt, Prefect, and Terraform Develop and manage connectors across sources and targets including Kafka, RDBMs, and Snowflake. Implement schema evolution, validation rules, and automated testing Support high-availability and disaster recovery design for Snowflake and Materialize Data Product Engineering Author and review schemas and data contracts for consistency and governance Develop and optimize dbt models for Snowflake and Materialize analytics layers Configure clusters and role-based access for shared environments Document datasets to ensure discoverability and proper usage across teams Stakeholder Collaboration Partner with BI developers, analysts, and business teams to deliver datasets that support reporting, dashboards, and integrations Investigate and resolve data issues, ensuring durable fixes Participate in design reviews to align technical solutions with business requirements Collaboration & Standards Contribute to PR and design reviews for pipelines and models Support platform governance, observability, and best practices for data quality Work with adjacent teams (Ops & Reliability, Analytics, Product) to align on SLAs and data definitions Other duties as assigned Disclaimer: The above statements are intended to describe the general nature and level of work being performed by people assigned to this position. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed. The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. We maintain a drug-free workplace and perform pre-employment substance abuse testing. This position requires the final candidate to successfully pass an E-Verify Check. More Information: http://www.dhs.gov/e-verify Company benefits are contingent upon meeting eligibility requirements and plan conditions.

Requirements

• Proficiency in Python and SQL for building and optimizing data pipelines
• Hands-on experience with dbt for modeling and testing, and Terraform for infrastructure-as-code
• Familiarity with modern data platforms: Snowflake, Materialize, Kafka, HVR, Fivetran, or Stitch
• Understanding of data contracts, observability, and governance practices
• Experience with CI/CD tools (GitHub Actions, GitLab CI, or similar)
• Ability to translate business needs into scalable technical solutions
• Quantitative bachelors’ degree preferred but not required
• Prior experience in a data engineering or data-heavy backend software engineering role
• Job requires the ability to use vision, adjust focus and work on a standard computer screen
• Job may require extended sitting or standing, use of standard office equipment

Nice To Haves

• Knowledge of compliance frameworks (e.g., GDPR, CCPA, SOC 2) a plus
• Professional certification may be required in some areas.

Responsibilities

• Build and maintain pipelines using dbt, Prefect, and Terraform
• Develop and manage connectors across sources and targets including Kafka, RDBMs, and Snowflake.
• Implement schema evolution, validation rules, and automated testing
• Support high-availability and disaster recovery design for Snowflake and Materialize
• Author and review schemas and data contracts for consistency and governance
• Develop and optimize dbt models for Snowflake and Materialize analytics layers
• 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 datasets that support reporting, dashboards, and integrations
• Investigate and resolve data issues, ensuring durable fixes
• Participate in design reviews to align technical solutions with business requirements
• Contribute to PR and design reviews for pipelines and models
• Support platform governance, observability, and best practices for data quality
• Work with adjacent teams (Ops & Reliability, Analytics, Product) to align on SLAs and data definitions
• Other duties as assigned

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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 1,001-5,000 employees