Remote Position

Data Pipeline Engineer-5

🌍 Remote · United States 💼 Full-time

Remote, Alaska 99501 Posted November 4th, 2025 Looking for more job opportunities? Click here! Job Type: Contract Job Category: IT Job Title: Data Pipeline Engineer Location: Remote Contract Job Summary: We are seeking a highly skilled Data Pipeline Engineer to design, build, and optimize robust data pipelines and platforms supporting large-scale data analytics and processing workloads. The ideal candidate will have hands-on experience with Databricks, Azure SQL Server, PySpark, and modern ETL/ELT frameworks, coupled with a solid understanding of data modeling, containerization, and scalability best practices. Key Responsibilities:

  • Design, develop, and maintain data pipelines using Databricks (Python and PySpark) to support ingestion, transformation, and storage of large datasets.
  • Implement ETL/ELT processes to extract data from various sources, ensuring data integrity, consistency, and accuracy across systems.
  • Develop and optimize data models to support analytical and operational data needs.
  • Build and manage Azure SQL Server instances including Managed Instances, Azure SQL Database, and SQL Server VMs for data storage and access.
  • Apply data engineering best practices for performance tuning, scalability, and cost optimization across the data pipeline infrastructure.
  • Utilize Docker and Azure Kubernetes Service (AKS) for containerized deployment and orchestration of data pipeline components.
  • Collaborate with Data Scientists, Analysts, and Business Stakeholders to translate business requirements into technical solutions.
  • Monitor and troubleshoot data pipeline performance, ensuring high availability, reliability, and data quality.
  • Maintain thorough documentation of data architecture, data flows, and pipeline configurations.
  • Drive automation initiatives to streamline deployment, testing, and data operations. Required Skills & Qualifications:
  • Proven experience with Databricks using Python, SQL, and PySpark.
  • Strong knowledge of Azure SQL Server ecosystem — including Managed Instance, Azure SQL DB, and SQL Server VMs.
  • Expertise in data modeling, ETL/ELT design patterns, and data integration frameworks.
  • Solid understanding of containerization (Docker) and Kubernetes (AKS) for data engineering workloads.
  • Experience in performance optimization and scalability in cloud data environments.
  • Strong SQL development skills, including query optimization and stored procedure development.
  • Hands-on experience with Azure Data Services (ADF, Synapse, Storage Accounts) is a plus.
  • Familiarity with CI/CD pipelines for automated deployment of data solutions. Required Skills DEVOPS ENGINEER SENIOR EMAIL SECURITY ENGINEER Apply tot his job Apply tot his job
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