Senior Data Engineer - Real-Time Pipelines | Remote

DTN (Data Transmission Network); Texas; Hybrid; USD 109,400 - 145,800; Full time

Benefits offered by this job

Remote work model (position dependent)

Unlimited PTO

6% 401K matching

Learning platform access

Job summary

DTN is seeking a Senior Data Engineer to drive ingestion, quality, reliability, and governance of data across enterprise platforms. You will support modern batch and real-time streaming architectures, enabling customers and internal stakeholders to access trusted, scalable data solutions.

You will design, build, and operate high-throughput data pipelines, leverage Kafka and Kinesis, and collaborate on cloud-native data platforms with a focus on security and governance.

Qualifications

• 7+ years in data engineering with batch and streaming pipelines.
• Experience designing streaming architectures and real-time processing.

Responsibilities

• Deliver trusted data sets for customers and internal stakeholders.
• Design and maintain batch and real-time data pipelines.
• Architect and manage event streaming using Kafka and Kinesis.
• Ensure data quality, governance, and security across platforms.
• Document data engineering processes and standards.

Skills

Data pipelines

Python

SQL

Apache Kafka

AWS Kinesis

Cloud architectures

Docker

Kubernetes

CI/CD

Data governance

Education

Bachelor’s degree in Computer Science or related field

Tools

Snowflake

AWS

Git

Job description

DTN is seeking a Senior Data Engineer to drive ingestion, quality, reliability, and governance of data across enterprise platforms. You will support modern batch and real-time streaming architectures, enabling customers and internal stakeholders to access trusted, scalable data solutions.

You will design, build, and operate high-throughput data pipelines, leverage Kafka and Kinesis, and collaborate on cloud-native data platforms with a focus on security and governance.