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# Sr. Data Engineer

- **Company:** DTN, LLC
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $109,400.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Agile Methodology, Amazon Web Services, Business Analytics Applications, Architectural Patterns, Cloud Computing, Cyber Security, Computer Programming, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Transformation, Data Security, Data Structures, Data Systems, Relational Databases, Database Development, Document-Oriented Databases, Python (Programming Language), PostgreSQL, MySQL, Node.Js, Oracle (Applications), Cloud Services, Software Engineering, Data Streaming, Management of Software Versions, Enterprise Data Management, Cloud Platform System, Data Ingestion, ReactJS, Snowflake, Git, Vue.js, AngularJS, Information Technology, Apache Flink, Complex Event Processing, Apache Kafka, Graphql, Spark Streaming, Data Management, Front End Software Development, Restful APIs, Stream Processing, Multiplatform, Software Version Control, Data Pipelines, Programming Languages
- **Published:** November 6, 2026
- **Apply:** https://www.careerbuilder.com/job-details/sr-data-engineer-tx--8d3c4db9-e880-4008-be28-4f4a76b60382

## About the Role

Risk, Agriculture, Supplier Optimization, Information/Data Security (InfoSec), Multiplatform/Cross-Platform, Software Development, Data Management, Process Improvement, Software Engineering, Cloud Computing, * 7+ years of data engineering experience with batch and streaming pipelines, data ingestion, ETL/ELT processes, or 2+ years of software engineering experience

 * Proven experience designing and implementing streaming data architectures, message brokering, and real-time event processing using Apache Kafka and AWS Kinesis
 * 4+ years of cloud experience, preferably across multiple cloud platforms
 * Strong programming skills in Python or other modern development languages such as Java or Go
 * Experience with ETL processes, SQL development, and data transformation workflows
 * Experience working with relational databases such as Oracle, PostgreSQL, or MySQL
 * Experience with AWS cloud services and cloud-based data platforms such as Snowflake or AWS-native solutions
 * Ability to design solutions that support data transformation, governance, workload management, and complex data structures
 * Experience with cloud architectures, highly available systems, and scalable solutions
 * Familiarity with Agile development methodologies and CI/CD practices
 * Experience with Docker and Kubernetes environments
 * Bachelor's degree in Computer Science or equivalent experience

What Will Make You Stand Out

 * Experience with stream processing frameworks such as Apache Flink or Spark Streaming
 * Experience with front-end technologies such as React, Angular, or Vue
 * Experience developing RESTful APIs using Node.js or Python
 * Experience consuming REST and GraphQL APIs
 * Strong understanding of source control and versioning practices using Git
 * Experience supporting enterprise data and analytics platforms in cloud-native environments

## Description

Job Description: DTN is seeking a results-driven Sr. Data Engineer to support the ingestion, quality, integrity, reliability, and governance of data across our enterprise platforms. This role plays a critical part in advancing DTN's modern batch and real-time streaming data architecture while enabling customers and internal stakeholders to leverage trusted, scalable, and secure data solutions.
The ideal candidate brings expert experience in data engineering, cloud technologies, streaming data, and software development, along with a passion for building high-quality data pipelines, improving processes, and supporting data-driven decision-making across the organization.
What You Will Be Responsible For

 * Deliver trusted data sets and services from complex data sources and environments to support DTN customers and internal stakeholders
 * Support the development and delivery of modern data and analytics architecture through batch and streaming data integration, acquisition, and management solutions
 * Design, build, and maintain batch and real-time streaming data pipelines and ingestion processes that ensure data quality, reliability, and scalability
 * Architect and manage high-throughput event streaming solutions utilizing Apache Kafka and Amazon Kinesis
 * Support customer and partner data infrastructure needs by troubleshooting technical issues and optimizing data environments
 * Contribute to the continuous improvement of data management standards, practices, and architectural patterns
 * Document data engineering processes, standards, and best practices to promote adoption across teams
 * Ensure data governance, security, and compliance requirements are incorporated into solution delivery
 * Identify opportunities to automate processes, reduce complexity, and improve operational efficiency through innovative data solutions
 * Develop reference architectures, standards, and documentation to support consistent approaches to data acquisition, transformation, storage, and analytics consumption