Senior Data Engineer

# Senior Data Engineer## Integres, LLCPublished 17 Jul 2026### Share this jobWashington, DC, USAFull Time## Role Highlights### Languages usedSQLPython### Key skillsData EngineerData ArchitectMachine LearningIntegrationsAPICICDDesign PatternsInformation TechnologyLLMsAgileArchitectureELTETLLoggingStorageDataSetsTestingDeploymentAIAutomationOperationsInfrastructureIACSecurity### Tools, Libraries and FrameworksRestAzureSDKCLIPySparkPandas## DescriptionThe role involves providing authoritative expertise on data engineering methods and modern pipeline design patterns. The individual will design, implement, and maintain secure data architectures and ELT/ETL pipelines within cloud environments. Responsibilities include establishing quality controls, error handling, and logging mechanisms to ensure pipeline stability. The position requires managing assets through source control and optimizing the ingestion and storage of various datasets. Additionally, the role entails developing self-service capabilities for analysts and coordinating with data scientists to support machine learning algorithms. The individual will also document data architectures and explore emerging automation and AI-assisted capabilities.## Required Qualifications and SkillsThe role requires five years of hands-on experience maintaining SQL databases and conducting advanced operations in SQL and T-SQL. Candidates must have five years of experience designing and maintaining ELT/ETL processes in cloud-based environments. Additionally, three years of experience working in Azure Synapse and Azure Machine Learning is required, with DP-203 certification preferred. Proficiency in Python and Pandas is mandatory, while experience with PySpark or Polars is preferred. Applicants must be US citizens and are subject to a public trust background investigation. #J-18808-Ljbffr