Senior Data Engineer

Carrier; West Palm Beach (FL); On-site; USD 96,000 - 192,000; Full time

Benefits offered by this job

Health, dental, vision benefits

Retirement benefits

Paid time off and holidays

Job summary

Carrier seeks a Senior Data Engineer to design and implement modern data pipelines across commercial, operational, and enterprise domains. You will work with solution architects and customer teams to translate requirements into production-ready data assets powering analytics and data products.

The role focuses on building robust pipelines, integrating diverse data sources, and supporting lakehouse and medallion architectures. Strong SQL, Python, and ETL skills are essential.

Qualifications

• 5+ years of data engineering experience.
• 5+ years of experience with open lakehouse architectures on Azure, GCP, AWS and/or Snowflake.
• 5+ years of SQL, Python, and modern ETL/ELT frameworks experience.
• Experience integrating ERP/enterprise systems and data modeling.

Responsibilities

• Design, build, and optimize data ingestion, transformation, and delivery pipelines supporting batch, micro-batch, and streaming workloads.
• Develop ETL/ELT workflows integrating data from enterprise systems, external sources, and applications.
• Apply medallion architecture to ensure data quality, reusability, and consistency across domains.
• Collaborate with solution architects and data product leads to translate requirements into data assets.

Skills

Data engineering experience

Open lakehouse architectures

SQL

Python

ETL/ELT frameworks

Education

Bachelor’s degree

B.S. in Computer Science/Engineering or related field

Job description

About Carrier

Carrier Global Corporation, global leader in intelligent climate and energy solutions, is committed to creating innovations that bring comfort, safety and sustainability to life. Through cutting‑edge advancements in climate solutions such as temperature control, air quality and transportation, we improve lives, empower critical industries and ensure safe transport of food, lifesaving medicines and more. Since inventing modern air conditioning in 1902, we lead with purpose: enhancing the lives we live and the world we share. We continue to lead because of our world‑class, inclusive workforce that puts the customer at the center of everything we do. For more information, visit corporate.carrier.com (opens in new window) or follow on Carrier social media at @Carrier.

Carrier Global Corporation, global leader in intelligent climate and energy solutions, is committed to creating innovations that bring comfort, safety and sustainability to life. Through cutting‑edge advancements in climate solutions such as temperature control, air quality and transportation, we improve lives, empower critical industries and ensure safe transport of food, lifesaving medicines and more. Since inventing modern air conditioning in 1902, we lead with purpose: enhancing the lives we live and the world we share. We continue to lead because of our world‑class, inclusive workforce that puts the customer at the center of everything we do. For more information, visit corporate.carrier.com (opens in new window) or follow on Carrier social media at @Carrier.

Role Summary

The Senior Data Engineer enables the delivery of modern, scalable data solutions across commercial, operational, and enterprise domains within CSA engagements. The role focuses on designing and building robust data pipelines, integrating diverse data sources, and supporting open lake‑house and medallion‑layered architectures. This engineer works closely with solution architects, data product leads, and customer teams to translate requirements into production‑ready data assets that power analytics, reporting, and data products across the organization.

Core Responsibilities

Data Engineering and Pipeline Development

• Design, build, and optimize data ingestion, transformation, and delivery pipelines that support batch, micro‑batch, and streaming workloads.
• Develop ETL/ELT workflows that integrate data from enterprise systems, operational platforms, external sources, and commercial applications.
• Implement scalable data processing patterns that support open lakehouse architectures and medallion‑layered data products.
• Ensure pipelines are reliable, maintainable, cost‑efficient, and aligned with enterprise engineering standards.

Architecture and Data Modeling

• Design data models that support analytics, reporting, and data product consumption across raw, refined, and curated layers.
• Apply medallion architecture principles to ensure data quality, reusability, and consistency across domains.
• Contribute to architectural decisions that balance performance, scalability, governance, and operational simplicity.
• Support integration of ERP and enterprise systems, ensuring data consistency and alignment with business processes.

Data Governance and Quality

• Implement data quality checks, validation rules, and monitoring frameworks to ensure accuracy and reliability.
• Apply foundational data governance practices including lineage, metadata management, cataloging, and access controls.
• Collaborate with governance and data product teams to ensure compliance with enterprise standards and regulatory requirements.

Cross‑Functional Collaboration

• Partner with CSA teams, solution architects, and data product leads to translate business requirements into technical specifications.
• Work closely with customer engineering and analytics teams to support onboarding, adoption, and operationalization of delivered pipelines.
• Participate in Agile delivery processes, providing technical input on sizing, sequencing, and implementation planning.
• Communicate technical concepts clearly to both technical and non‑technical stakeholders.

Minimum Qualifications

• Bachelor’s degree.
• 5+ years of experience in data engineering.
• 5+ years of experience in open lakehouse architecture in Azure, GCP, AWS and/or Snowflake.
• 5+ years of experience creating automated data pipelines and performing data modeling.
• 5+ years of experience writing SQL, Python, and modern ETL/ELT frameworks.

Preferred Qualifications

• Bachelor’s of Science in Computer Science, Engineering, or technical related field.
• Technical Qualifications
• Strong experience designing and building data pipelines, transformations, and data models.
• Proficiency in SQL, Python, and modern ETL/ELT frameworks.
• Experience implementing open lakehouse architectures and medallion‑layered data products.
• Strong understanding of data integration patterns, orchestration, and distributed data processing.
• Experience working with ERP and enterprise systems, with an emphasis on data extraction, modeling, and harmonization.
• Delivery and Collaboration
• Experience working in customer‑facing delivery environments, supporting CSA or similar solution‑oriented teams.
• Ability to work across cross‑functional engineering, product, and business teams.
• Strong communication skills for explaining technical concepts and influencing architectural decisions.
• Experience working within Agile delivery models.
• Experience with cloud platforms and modern data ecosystems, including:
• Data replication tools for enterprise systems.
• Background supporting commercial, operational, or enterprise analytics use cases.
• Familiarity with CI/CD, infrastructure‑as‑code, and modern DevOps practices.
• Experience mentoring junior and early career engineers.
• Knowledge of manufacturing, logistics, and supply chain domain.
• Experience working with ERP and CRM platforms such as Salesforce.

Pay Range

The annual salary for this position is between $96,000.00 - $192,000.00 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. The pay range will not be below the minimum wage applicable to the jurisdiction in which the applicant is to be employed.

Other Compensation

Thisposition is entitled to short‑term cash incentives, subject to plan requirements.

Benefits

Employees are eligible for benefits, including:

• 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 [e-mail] (opens in new window). We will make every effort to meet your needs in accordance with applicable laws.

Application Deadline

Applications will be accepted for at least 3 days fromJobPosting Date: 22 September 2026

Use of AI

Technology‑enabled tools may support parts of the recruitment process, with oversight by people.