Software Engineer Level 2 supporting the Fort Meade Customer, developing, integrating, maintaining, and optimizing software applications, cloud-based systems, and large-scale data processing solutions.
Compensation
USD $210,000.00 - USD $225,000.00 /Yr.
Responsibilities
Design, develop, test, and maintain software applications using Java, Python, and other relevant technologies.
Develop and support cloud-based applications and services within AWS environments.
Build and optimize large-scale data processing and analytics solutions.
Support distributed computing environments using technologies such as Hadoop, Accumulo, Spark, and MapReduce.
Develop and maintain data ingestion pipelines, ETL workflows, and enterprise analytics capabilities.
Designing, developing, and maintaining software applications and systems under the guidance of senior engineers and managers to build high-quality, innovative, and performant software.
Compensation
USD $76,829.00 - USD $142,213.00 /Yr.
Responsibilities
Develop a strong understanding of relevant product areas, codebases, and systems.
Write high-quality code for simple scenarios with good test coverage.
Assist with any application system support needs.
Participate in design and code reviews of applications to ensure best practices, adherence to Mercury standards, and high quality.
Design and develop scalable systems end-to-end, collaborate with cross-functional teams, work with AI and agentic technologies, ensure performance and quality of applications, identify and correct bottlenecks and fix bugs.
Responsibilities
Design and develop scalable systems end-to-end
Collaborate with cross-functional teams to define, design, and ship new features
Work with AI and agentic technologies to enhance product capabilities
Ensure the performance, quality, and responsiveness of applications
Design, build, and deploy autonomous AI agents for e-commerce and supply chain automation.
Compensation
Stipend: None initially. Based on your first-quarter performance, you may be offered a paid full-time opportunity, or even be absorbed directly by the client as an FTE.
Responsibilities
Design and build autonomous AI agent architectures using LLMs and reasoning frameworks
Create agents that integrate into the e-commerce storefront and internal workflow tools
Implement multi-agent systems across MES, WMS, OMS modules
Develop memory systems, context management, and tool integration strategies
Fine-tune LLM models and apply reinforcement learning techniques
Design and govern the end-to-end data landscape for an integrated supply chain e-commerce platform, focusing on data modeling, ETL, governance, and real-time analytics.
Compensation
Stipend: None initially. Based on your first-quarter performance, you may be offered a paid full-time opportunity, or even be absorbed directly by the client as an FTE.
Responsibilities
Design and maintain comprehensive data models for all data domains
Architect and implement scalable ETL/ELT pipelines
Define and enforce data governance policies with GDPR compliance
Design and implement real-time analytics infrastructure
Plan data retention, archiving, and purging strategies
Embed security into the automation processes across the entire tech stack.
Compensation
Stipend: None initially. Based on your first-quarter performance, you may be offered a paid full-time opportunity, or even be absorbed directly by the client as an FTE.
Responsibilities
Integrate automated security scanning tools into CI/CD pipelines
Enforce secure Infrastructure-as-Code practices using Terraform
Manage and secure application deployment environment with Docker
Collaborate with development teams to promote secure coding practices
Implement automated injection and rotation of secrets using Vault
The Senior Analytics Engineer will design, develop, and scale enterprise reporting and analytics solutions, building and maintaining centralized semantic models and developing high-performance Power BI solutions to transform data into actionable insights.
Compensation
Competitive base pay and performance bonuses.
Responsibilities
Design, build, and maintain enterprise Power BI dashboards, reports, and scorecards.
Create advanced DAX calculations, measures, KPIs, and calculation groups.
Implement report performance tuning and optimization best practices.
Design, build, and maintain enterprise semantic models, reusable datasets, and certified data products that support self-service analytics.
Establish BI development standards, documentation, deployment processes, and governance practices.
A hands-on technical leader designing, building, and optimizing data integrations, cloud data infrastructure, and data models that power analytics and data science across the company.
Locations (3)
Melbourne, Florida, United States
Irving, Texas, United States
Draper, Utah, United States
Compensation
Competitive base pay and performance bonuses.
Responsibilities
Build and maintain scalable, fault-tolerant ETL/ELT pipelines using Azure Data Factory, Synapse, and Databricks to ingest diverse financial datasets.
Create and optimize data models (dimensional, medallion/bronze-silver-gold) to support PowerBI semantic layers and downstream analytics.
Implement automated data validation, lineage tracking, and monitoring frameworks to ensure the highest standards of data security, privacy, and regulatory compliance.
Develop real-time data streaming and event-driven architecture using Azure Event Hubs and Azure Stream Analytics for instant fraud detection and transaction monitoring.
Engineer and implement highly optimized Lakehouse architectures utilizing Azure Synapse Analytics and Microsoft Fabric.
Requirements
Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related quantitative field
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