Sr. Data Engineer

Job Description

DTN is seeking a results‑driven Senior 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.

• 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.

• 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.

• 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.

• Competitive Salary (Targeted hiring base pay range: $109,400 – $145,800).
• Unlimited PTO.
• Flexible working hours.
• Remote work model (position dependent).
• Competitive Medical, Dental and Vision Insurance Plans.
• 6% 401K matching.
• Unlimited access to 13,000+ courses via learning platform to support employee career advancement.
• Employee Assistance Program (EAP).
• Opportunity for market‑competitive variable pay and benefits.

DTN is an Equal Opportunity Employer. We welcome and encourage applicants of all backgrounds, including minorities, women, veterans, and individuals with disabilities.