Data Engineer
Carrier Global Corporation
- Plant City, Florida, United States
- Plant City, Florida, United States
Über
Core Responsibilities Data Pipeline Development
Build and maintain data ingestion, transformation, and delivery pipelines that support batch and micro‑batch workloads.
Develop ETL/ELT workflows that integrate data from enterprise systems, operational platforms, and external sources.
Implement scalable data processing patterns aligned with open lakehouse and medallion‑layered architectures.
Ensure pipelines are reliable, maintainable, and aligned with engineering best practices.
Data Modeling and Architecture Support
Contribute to the design of data models across raw, refined, and curated layers.
Apply medallion architecture principles to support data quality, consistency, and reusability.
Support integration of ERP and enterprise systems by preparing, transforming, and harmonizing source data.
Participate in discussions on performance, scalability, and data design decisions.
Data Governance and Quality
Implement data validation rules, quality checks, and monitoring to ensure accuracy and reliability.
Apply foundational data governance practices including lineage, metadata management, and cataloging.
Collaborate with governance and data product teams to ensure compliance with enterprise standards.
Collaboration and Delivery
Work with CSA teams, senior engineers, and data product leads to understand requirements and translate them into technical tasks.
Partner with customer engineering and analytics teams to support onboarding and operationalization of delivered pipelines.
Participate in Agile ceremonies and contribute to sprint planning, estimation, and delivery.
Communicate progress, blockers, and technical considerations clearly to teammates and stakeholders.
Required Qualifications
Bachelor’s Degree.
3+ years of experience as a data engineer, with demonstrated hands‑on delivery of data pipelines and models.
3+ years of experience building data pipelines, transformations and data models using SQL, Python, and modern ETL/ELT development practices.
Must have unrestricted authorization to work in the USA. No visa sponsoring available.
Preferred Qualifications
Understanding of open lakehouse concepts and medallion‑layered data product design.
Familiarity with data integration patterns, orchestration, and distributed data processing.
Experience working with ERP or enterprise systems and preparing data for downstream consumption.
Ability to work in customer‑facing delivery environments and collaborate with cross‑functional teams.
Strong communication skills for explaining technical concepts and collaborating effectively.
Experience working within Agile delivery models.
Experience with cloud platforms and modern data ecosystems, including:
AWS services such as object storage, orchestration, and data transformation tools.
Data replication tools for enterprise systems.
Snowflake for data warehousing and transformation.
GCP services such as BigQuery, Dataflow, BigLake, and cloud storage.
Exposure to commercial, operational, or enterprise analytics use cases.
Familiarity with CI/CD, infrastructure‑as‑code, and DevOps practices.
Pay Range
The annual salary for this position is between $64,500.00 - $129,500.00 annually. Factors which may affect pay within this range include, but are not limited to, skills, education, experience, and other unique qualifications of the successful candidate.
Other Compensation
Thisposition may be entitled to short-term cash incentives, subject to plan requirements.
Benefits
Health Care Benefits : Medical, Dental, Vision; Wellness incentives
Retirement Benefits
Time off and Leave : Paid vacation days, up to 15 days; paid sick days, up to 5 days; paid personal leave, up to 5 days; paid holidays, up to 13 days; birth and adoption leave; parental leave; family and medical leave; bereavement leave; jury duty leave; military leave; purchased vacation
Disability : Short-term and long-term disability
Life Insurance and Accidental Death and Dismemberment
Tax-Advantaged Accounts: Health Savings Account; Health Care Spending Account; Dependent Care Spending Account
Tuition Assistance
Carrier EEO Statement and Accommodations Process
Carrier is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status or any other applicable state or federal protected class. Carrier provides affirmative action in employment for qualified individuals with a Disability and Protected Veterans in compliance with section 503 of Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act.
If you require a reasonable accommodation to complete the application process, participate in an interview, or otherwise engage in the hiring process, please contact us at Carrier.Recruiting@carrier.com. We will make every effort to meet your needs in accordance with applicable laws.
#J-18808-Ljbffr
Sprachkenntnisse
- English
Hinweis für Nutzer
Dieses Stellenangebot stammt von einer Partnerplattform von TieTalent. Klick auf „Jetzt Bewerben”, um deine Bewerbung direkt auf deren Website einzureichen.