Data Engineer II, Data Products

Houston, MS - USA

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

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

OTHER SKILLS AND ABILITIES

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
Knowledge of compliance frameworks (e.g. GDPR CCPA SOC 2) a plus

EDUCATION AND EXPERIENCE

Quantitative bachelors degree preferred but not required
Prior experience in a data engineering or data-heavy backend software engineering role

PHYSICAL REQUIREMENTS

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

CERTIFICATION AND LICENSES

Professional certification may be required in some areas.

WHY SHOULD YOU WORK FOR CRANE

At Crane we believe in providing our employees with excellent benefits at a Great Place to Work.

We offer:

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

Come join the leader in logistics and take your career in the right direction.

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: benefits are contingent upon meeting eligibility requirements and plan conditions.

ESSENTIAL JOB FUNCTIONSData Pipeline & Platform DevelopmentBuild and maintain pipelines using dbt Prefect and TerraformDevelop and manage connectors across sources and targets including Kafka RDBMs and Snowflake.Implement schema evolution validation rules and automated testingSupport high-availabili...