About this role

Data Engineer

Knoxville, TN, United States

Job Description

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.

What You Will Do:

Design, develop, and maintain scalable data pipelines, data models, and lakehouse or data warehouse structures to support analytics, reporting, and AI/ML workloads.

· Build, test, and optimize ETL/ELT workflows that ingest, transform, and deliver data from multiple structured, semi-structured, and unstructured sources.

· Support AI/ML initiatives by preparing and managing datasets for feature engineering, model training, inference, and other AI-enabled applications.

· Implement and maintain data quality controls, validation processes, monitoring, and observability practices to improve reliability, accuracy, and performance of data pipelines.

· Manage data integration processes across internal and external systems to ensure timely, secure, and efficient data availability.

· Support data governance practices, including lineage, cataloging, access management, and documentation, to promote trusted and well-controlled data assets.

· Develop and deploy cloud-based data engineering solutions using modern platforms, distributed processing tools, and containerized environments where applicable.

· Build and maintain batch and near real-time data pipelines to meet business, reporting, and application requirements.

· Collaborate with cross-functional teams to gather requirements, translate business needs into technical solutions, and support enterprise data initiatives.

· Troubleshoot, enhance, and continuously improve data infrastructure, workflows, and related tools to increase scalability, efficiency, and business value.

· Remain current with developments in data engineering, cloud platforms, and AI-enabling technologies and apply practical improvements where beneficial.

· Comply with applicable ABS Health, Safety, Quality, and Environmental Management System requirements and other internal policies and procedures.

What You Will Need:

Education and Experience

Degree in a technical field or equivalent combination of education and experience
8+ years of relevant experience in data engineering or a closely related discipline, including significant experience building and maintaining cloud-based data pipelines and architectures.
Databricks certification (preferred)

Knowledge, Skills, and Abilities

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.

Reporting Relationships:

Reports directly to the Chief Data Scientist in Global Technology or other management or executive level position.

Working Conditions

Work is primarily sedentary; exerting up to 10 pounds of force occasionally and/or a negligible amount of force frequently or constantly to lift, carry, push, pull or otherwise move object.

About Us

We set out more than 160 years ago to promote the security of life and property at sea and preserve the natural environment. Today, we remain true to our mission and continue to support organizations facing a rapidly evolving seascape of challenging regulations and new technologies. Through it all, we are anchored by a vision and mission that help our clients find clarity in uncertain times.

ABS is a global leader in marine and offshore classification and other innovative safety, quality, and environmental services. We’re at the forefront of supporting the global energy transition at sea, the application of remote and autonomous marine systems, cutting-edge technical solutions, and many more exciting advancements. Our commitment to safety, reliability, and efficiency is ever-present, guiding our clients to safer and more efficient operations.

About Our Benefits

ABS Group proudly offers a variety of industry-leading benefits designed to enhance the life and well-being of our employees and their families. These benefits include, but are not limited to, medical insurance (PPO and HD), dental and vision insurance, Health Savings account (HSA), Flexible Savings Account (FSA), life insurance, accidental death and dismemberment insurance, disability leave programs, parental leave program, paid holidays, and paid vacation time. The Company provides an Employee Assistance Plan (EAP) that offers additional support in personal wellness, including work-life services. ABS Group also offers a 401K plan with a generous company match, subject to plan requirements.

Equal Opportunity

The ABS Group of Companies is committed to the equal employment opportunity of its employees and prohibits discrimination against any employee or qualified applicant based on race, color, creed, religion, national origin, sex, gender identity, age, disability, marital status, sexual orientation, citizenship status or veteran status, or other non-work-related characteristics that may be protected under the law of the Federal Government or specific state employment laws.

Notice

ABS and Affiliated Companies (ABS) will not pay a fee to any third-party agency without a valid ABS Master Service Agreement (MSA) authorized and signed by Human Resources. Any resume, CV, application, or other forms of candidate submission provided to any employee of ABS without a valid MSA on file will be considered property of ABS, and no fee will be paid.

Other

This job description is not intended, and should not be construed, to be an all-inclusive list of responsibilities, skills, efforts or working conditions associated with the job of the incumbent. It is intended to be an accurate reflection of the principal job elements essential for making a fair decision regarding the pay structure of the job. #ogjs

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Job Info

Job Identification 4783

Job Category Business Development

Posting Date 10/09/2026, 06:12 PM

Job Schedule Full time

Locations

10301 Technology Drive, Knoxville, TN, 37932, US

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Data Engineer

About this role

Data Engineer

Knowledge, Skills, and Abilities

· 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.

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