Senior Software Engineer responsible for building, developing, testing, and deploying scalable cloud-based applications and backend solutions on Microsoft Azure, including data ingestion pipelines and large‑scale data‑processing solutions.
Responsibilities
Build, develop, test, and deploy scalable applications and backend solutions on Microsoft Azure.
Build and optimize data ingestion pipelines and large-scale data-processing solutions using Python, PySpark, Apache Spark, Kafka, and Azure services.
Design event-driven architectures and integrations using APIs, REST services, and messaging technologies.
Develop and maintain Delta Lake solutions using medallion architecture.
Support integration with Databricks, SQL databases, and hybrid storage solutions.
Support the expansion of AI‑driven automation and tooling within the View of Risk team, building automated workflows, maintaining analytical pipelines, and running catastrophe models.
Responsibilities
Supporting the expansion of AI‑driven automation and tooling
Assisting in building automated workflows for catastrophe model evaluation
Helping to develop and maintain analytical pipelines and scripts
Preparing and processing data for model development
Supporting calibration, validation and documentation of catastrophe model changes
Requirements
Degree in a quantitative or natural science discipline
Supporting critical initiatives in defense data handling and analysis, including managing DoD test data, digitizing historical records, and contributing to missile defense system sustainment.
Responsibilities
Assist in the ingestion, organization, and processing of DoD test data from various mission sources, ensuring accurate and timely delivery to weapon system analysts.
Support the digitization of a national archive, including scanning, cataloging, and metadata tagging of historical documents.
Contribute to data management tasks related to elite missile defense systems, such as data validation, quality assurance, and integration into analytical workflows.
Collaborate with cross-functional teams to develop and implement data protocols that comply with DoD security standards and regulations.
Perform routine data audits, generate reports on data integrity, and identify opportunities for process improvements.
Requirements
Current enrollment in an undergraduate or graduate program in Data Science, Information Technology, Computer Science, Engineering, or a related field
Nice to have: DoD data standards
Nice to have: Compliance frameworks (e.g., NIST)
Nice to have: Mission test data protocols
Nice to have: Experience in defense, aerospace, or government sectors
Seeking a motivated and detail-oriented Software Tester to support software testing, quality assurance, and application validation activities using UNIX/Linux environments.
Compensation
Posted Salary Range USD $59,200.00 - USD $92,575.00 /Yr.
Responsibilities
Execute manual test cases to validate application functionality and verify system requirements.
Navigate UNIX/Linux environments using command-line utilities to locate files, review logs, and execute basic commands.
Support functional, regression, integration, and system testing activities.
Document test procedures, test results, defects, and issues in accordance with established processes.
Identify, reproduce, and report software defects with clear steps and supporting evidence.
Requirements
Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field
The role involves building small to mid-size business intelligence (BI) solutions –data sets, queries, reports, dashboards, analyses– to answer business questions and deliver insights from data.
Responsibilities
Improvement opportunities in LCPR’s operations that can be addressed using BI and analytics-based solutions.
Engage with customers and cross-functional teams to collect requirements for BI solutions.
Develop and maintain scalable dashboards, reports, and visualizations that deliver actionable insights and support strategic-decisionmaking for key partners.
Conduct in-depth analysis to determine root-causes of market performance.
Work on both the front-end (data analysis and visualization) and the back-end (basic troubleshooting, writing scripts to fetch data, etc..) of reports, analyses, or dashboards.
Lead technology strategy and engineering for Target’s Transportation Technology team, driving AI-native applications, platform architecture, and enterprise-wide integration.
Compensation
The pay range is $168,000.00 - $303,000.00
Responsibilities
Set the technology vision and provide thought leadership
Shape Business and Product strategy
Drive AI-native applications and AI-enabled engineering
The Sr. Technical Support Engineer is a strategic customer advisor and the internal voice for our customer base within a highly technical area of Docusign's Intelligent Agreement Management platform (IAM). The role acts as a technical domain expert between customers and all functions within Docusign to resolve technical support inquiries.
Responsibilities
Provide outstanding technical support for the Docusign ecosystem and associated services
Handle escalated cases of incoming support channels to troubleshoot issues customers face when using Docusign products, including API integrations, embedded systems issues, network and security-related impediments, 3rd party integrations, and multi-product workflows
Own customer issues to engineering interface to resolve technical bugs and influence development roadmap
Use broad technical product expertise within Docusign ecosystem areas to help customers increase adoption
Identify improvements to the product, identify bugs and otherwise determine high-impact opportunities to improve the customer experience
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