Data Engineer
American Bureau of Shipping
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- Location
- Knoxville, TN
- Job type
- Full time
- Posted
- Oct 9
- 11 days ago
Career path
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About the company
American Bureau of Shipping
Maritime · 5,001 to 10,000 employees
What you'll do
- Strong knowledge of data engineering concepts, including data modeling, data integration, ETL/ELT design, and pipeline orchestration.
- Strong programming skills in Python and SQL, with the ability to build, test, and maintain production-grade data workflows.
- Experience working with cloud-based data platforms such as AWS, Azure, or Google Cloud.
- Experience designing, implementing, and supporting data warehouse or Lakehouse architectures such as Databricks, Snowflake, Redshift, or similar technologies.
- Knowledge of distributed data processing frameworks and tools, such as Spark or equivalent technologies.
- Ability to work with structured, semi-structured, and unstructured data from multiple data sources.
- Experience implementing data quality checks, validation frameworks, monitoring, and performance optimization practices.
- Knowledge of data governance, lineage, metadata management, and cataloging concepts and tools.
- Familiarity with data infrastructure requirements that support AI/ML workflows, including feature engineering, data preparation, and embedding pipelines.
- Experience with real-time or streaming data technologies such as Kafka, Kinesis, or similar tools is preferred.
- Familiarity with containerization and deployment tools such as Docker, Kubernetes, or similar technologies is preferred.
- Ability to analyze technical requirements, solve complex data problems, and deliver practical solutions in a fast-paced environment.
- Strong collaboration and communication skills, with the ability to work effectively across technical and business teams.
- Ability to manage multiple priorities, meet deadlines, and maintain a high standard of quality and accuracy.
- Working knowledge of the ABS Health, Safety, Quality, and Environmental Management System.
Key skills
data architecturecloud-based data solutionsAI/ML
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Read the full posting here
The Data Engineer designs, builds, and maintains scalable data architecture, pipelines, and platforms that support analytics, reporting, and AI/ML solutions across the organization. This role is responsible for preparing, integrating, governing, and optimizing data from multiple sources to ensure reliable, accessible, and high-quality data assets for business and technical use. The Data Engineer works closely with data scientists, software engineers, analysts, and business stakeholders to deliver cloud-based data solutions that support operational goals, innovation, and emerging AI capabilities.