LPL Financial-posted 2 days ago
$155,000 - $165,000/Yr
Full-time • Mid Level
Hybrid • Charlotte, NC
5,001-10,000 employees

Design, develop, and maintain data pipelines to efficiently move data from various sources into a central repository. Create data models, schemas, and views to organize and optimize data for efficient access and analysis. Implement data quality checks and monitoring processes to ensure data accuracy and consistency throughout the entire data flow. Build, test, and document data transformations, promoting code maintainability and collaboration. Design and develop microservices to handle specific data processing tasks. Deploy microservices to containerized environments for scalability and maintainability. Configure and manage cloud services to support data pipelines and microservices. Design, develop, and deploy highly scalable, fault-tolerant cloud applications leveraging serverless architecture. Design and develop efficient, modern, high-performance web applications that leverage the latest front-end technologies, while ensuring responsiveness, accessibility, and cross-browser compatibility. Build and maintain continuous integration and delivery (CI/CD) pipelines for efficient code delivery. Integrate application observability tools to monitor system performance and identify potential issues proactively. 40% telecommuting allowed.

  • Design, develop, and maintain data pipelines to efficiently move data from various sources into a central repository.
  • Create data models, schemas, and views to organize and optimize data for efficient access and analysis.
  • Implement data quality checks and monitoring processes to ensure data accuracy and consistency throughout the entire data flow.
  • Build, test, and document data transformations, promoting code maintainability and collaboration.
  • Design and develop microservices to handle specific data processing tasks.
  • Deploy microservices to containerized environments for scalability and maintainability.
  • Configure and manage cloud services to support data pipelines and microservices.
  • Design, develop, and deploy highly scalable, fault-tolerant cloud applications leveraging serverless architecture.
  • Design and develop efficient, modern, high-performance web applications that leverage the latest front-end technologies, while ensuring responsiveness, accessibility, and cross-browser compatibility.
  • Build and maintain continuous integration and delivery (CI/CD) pipelines for efficient code delivery.
  • Integrate application observability tools to monitor system performance and identify potential issues proactively.
  • MINIMUM Education and Experience Requirement: Bachelor’s degree, or foreign equivalent, in Computer Science, Computer Engineering, Information Technology, or a closely related field AND five (5) years of experience in the job offered or related occupation.
  • Alternate Education and Experience Requirements: Master’s degree, or foreign equivalent, in Computer Science, Computer Engineering, Information Technology, or a closely related field AND three (3) years of experience in the job offered or related occupation.
  • Applicants must possess demonstrated expertise with the following: Developing data processing microservices with ASP.NET Core Web API and C# for MS SQL Server OR PostgreSQL interaction.
  • Developing front-end UIs using Angular, Bootstrap, HTML5, CSS3, NgRx, and DevExtreme UI Framework or Google Material.
  • Designing, developing, and deploying scalable, fault-tolerant cloud applications using AWS services or Azure services; configuring and managing AWS services or Azure services for reliable and secure communication; and implementing disaster recovery strategies using AWS Elastic Disaster Recovery or Azure Site Recovery strategies.
  • Managing infrastructure and building CI/CD pipelines using Terraform, GitHub Actions, Octopus, Bitbucket, Jenkins, or Ansible.
  • Designing, developing, and maintaining data pipelines including ETL/ELT processes using Snowflake or MS SQL Server; and automating scalable data processing pipelines with Airflow (MWAA) or MS SQL Batch process.
  • Building, testing, and documenting data transformations and models using DBT or SQL Server Integration Service (SSIS).
  • Integrating with observability tools (Dynatrace and ServiceNow), AWS CloudWatch, or Azure Application Insight to monitor system performance.
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