Country:

United States of America

Location:

CAG24: Atlanta Digital Hub 3350 Riverwood Parkway Suite 900, Atlanta, GA, 30339 USA

Carrier Global Corporation, global leader in intelligent climate and energy solutions, is committed to creating solutions that matter for people and our planet for generations to come. From the beginning, we've led in inventing new technologies and entirely new industries. Today, we continue to lead because we have a world-class, diverse workforce that puts the customer at the center of everything we do. For more information, visit corporate.carrier.com or follow Carrier on social media at @Carrier.

About This Role

As a Data Engineer at Carrier, you will play a critical role in architecting, building, and optimizing the data pipelines and infrastructure that power business intelligence, analytics, and AI/ML initiatives. You will work across real-time and batch data use cases using a modern, cloud-native tech stack, and help shape best practices for data engineering within a product-oriented organization. This role is ideal for a data engineer who thrives on solving complex problems at scale and mentoring others to do the same.

Key Responsibilities:

• Design and implement robust, reusable, and scalable data pipelines and transformations using AWS Glue, Kinesis, and orchestration tools like Airflow and Nexla.
• Contribute to the evolution of our transactional data lake architecture based on Apache Iceberg and Amazon S3, enabling schema evolution, ACID transactions, and time travel.
• Partner closely with data product teams, architects, and platform engineers to deliver curated, governed datasets that accelerate insights and machine learning outcomes.
• Champion DataOps and DevOps principles by implementing CI/CD workflows, observability, and automated testing for pipelines.
• Act as a subject matter expert for data modeling, schema design, and data quality assurance across diverse business domains.
• Mentor junior engineers and contribute to the development of internal standards, frameworks, and best practices for data engineering.

Required Qualifications:

• 5+ years of professional experience in data engineering,
• 3+ years of experience with leadership on complex pipeline and data platform initiatives.
• 5+ years of experience programing in Python, SQL, and with modern ELT/ETL frameworks.
• 3+ years of experience with AWS data services (Glue, S3, Kinesis, Athena, Redshift) and open table formats like Apache Iceberg.
• High School Diploma / GED.

Preferred Qualifications:

• Experience building and optimizing streaming and batch pipelines in production environments.
• Familiarity with metadata management, schema evolution, and integration with enterprise data governance frameworks.
• Proven success working cross-functionally with platform, analytics, and AI/ML teams in a fast-paced environment.
• Experience with tools like Snowflake, Trino, Databricks, or dbt.
• Familiarity with data lakehouse architectures and cloud cost optimization strategies.
• Exposure to data contracts, data mesh, or domain-oriented data product delivery.
• Certifications in AWS (e.g., Data Analytics, Solutions Architect) are a plus.

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Carrier is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.

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