Data Engineer
2d ago


  • Enable our DTN partners and customers through the delivery of trusted data sets and services from complex data sources and environments.
  • Support in the delivery of our modern data and analytic architecture through execution and delivery of data management, data integration, and data acquisition patterns and pipelines.
  • Enable our DTN partners and customers by supporting their data infrastructure needs and by solving technical issues with the data or environments.
  • Supply ongoing feedback and continuous improvement on intended patterns and standards used in data management practices.
  • Document data engineering practices and standards while sharing them with other teams to promote broader adoption.
  • Ensure DTN’s data is governed and secured as part of solution delivery.
  • Identify and improve internal processes by designing data management and infrastructure solutions that provide needed capabilities, lower cost and complexity, and drive automation.
  • Build reference documentation that will fuel reuse and consistency in how data is acquired, transformed, persisted, and consumed analytically at DTN through enterprise standard patterns, SODs, and reference architectures that enable specific fit for purpose needs and set overall direction in the Data and Analytic domain.
  • Requirements :

  • Minimum 2 years of data engineering (pipelines, ingest, ETL / ELT) experience or at least 2 years of software engineering / development experience.
  • Minimum 2 years of cloud experience (prefer multiple vendors)
  • Proven competency or work experience with the following technical skills (in order of importance) : 1) Python in API; Web, and Data development (or at least one language like python, java, go etc.
  • 2) Data Preparation through ETL / SQL processing3) Database including Oracle, Postgres, and / or MySQL4) Cloud (AWS)5) Cloud Data Platforms (Snowflake, AWS Native)6) Infrastructure build / management (Cloud and Legacy)

  • Ability to build processes and solutions that support data transformation, workload management, complex data structures, and data governance standards.
  • Professional Experience withCloud architectures and usagesRemote work environmentsAgile development methodologyHighly available and scalable solutionsHigh-performance architecturesCI / CD development and iterative design
  • DTN Core Services is an exciting and fast-paced area to grow your skills and knowledge while contributing to the Data and Analytics Strategy and Technology Landscape.

    DTN leadership has identified this domain as a strategic enabler to DTN’s mission to differentiate and disrupt our existing and future offerings.

    If being part of our growing organization is of interest to you, please apply with the following link :


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