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 governanceDevelop and optimize dbt models for Snowflake and Materialize analytics layersConfigure clusters and role-based access for shared environmentsDocument datasets to ensure discoverability and proper usage across teamsStakeholder Collaboration
Partner with BI developers analysts and business teams to deliver datasets that support reporting dashboards and integrationsInvestigate and resolve data issues ensuring durable fixesParticipate in design reviews to align technical solutions with business requirementsCollaboration & Standards
Contribute to PR and design reviews for pipelines and modelsSupport platform governance observability and best practices for data qualityWork with adjacent teams (Ops & Reliability Analytics Product) to align on SLAs and data definitionsOther duties as assignedOTHER SKILLS AND ABILITIES
Proficiency in Python and SQL for building and optimizing data pipelinesHands-on experience with dbt for modeling and testing and Terraform for infrastructure-as-codeFamiliarity with modern data platforms : Snowflake Materialize Kafka HVR Fivetran or StitchUnderstanding of data contracts observability and governance practicesExperience with CI / CD tools (GitHub Actions GitLab CI or similar)Ability to translate business needs into scalable technical solutionsKnowledge of compliance frameworks (e.g. GDPR CCPA SOC 2) a plusEDUCATION AND EXPERIENCE
Bachelors degree in Math Computer Science Information Technology or related preferred but not required1-3 years prior experience in a data engineering or data-heavy backend software engineering rolePHYSICAL REQUIREMENTS
Job requires the ability to use vision adjust focus and work on a standard computer screenJob may require extended sitting or standing use of standard office equipmentCERTIFICATION 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 Plan136 hours of Paid Time Off which equals 17 days for the year that can be used for Sick Time or for Personal UseExcellent Medical Dental and Vision benefitsTuition Reimbursement for education related to your jobEmployee Referral BonusesEmployee Recognition and Rewards ProgramPaid Volunteer Time to support a cause that is close to your heart and contributes to our communitiesEmployee DiscountsWellness Incentives that can go up to $100 per year for completing challenges in addition to a discount on contribution ratesCome 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.
Required Experience :
IC
Key Skills
Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala
Employment Type : Full-Time
Experience : years
Vacancy : 1