Freelance Software Developer (C/C++ - Rust) - AI Trainer

Location: Washington, DC (Hybrid) Clearance Required: Active Secret Position Type: Full-Time We are seeking a skilled Business Data Steward to support enterprise data and analytics initiatives for our federal client. The ideal candidate will bring expertise in data governance, metadata management, and ensuring enterprise-wide data quality and integrity. This role will involve collaborating across business and technical teams to ensure that data assets are accurate, consistent, and aligned with mission objectives. Strong communication, documentation, and stakeholder management skills are required, along with hands-on experience in governance frameworks and metadata tools. Primary Responsibilities: Serve as the primary steward for assigned data domains, ensuring compliance with governance standards. Support data tagging, metadata management, and enterprise data sharing processes. Collaborate with Data Engineers and Scientists to integrate governance requirements into pipelines and analytics products. Monitor and enforce data quality standards while identifying gaps and inconsistencies. Maintain documentation of data definitions, lineage, and usage. Provide input on enterprise data policies, standards, and best practices. Partner with business stakeholders to align data management practices with operational needs. Support audits, compliance reviews, and security requirements related to sensitive data. Requirements Requirements Minimum Qualifications: Active Secret clearance (required at time of application). Bachelor’s degree in Information Systems, Data Management, or a related field. 5+ years of experience in data stewardship, data governance, or metadata management. Strong knowledge of data governance frameworks and best practices. Familiarity with metadata management and data cataloging tools. Working knowledge of SQL and ability to collaborate with technical data teams. Excellent documentation, communication, and stakeholder engagement skills. Preferred Qualifications: Experience working in federal or regulated environments. Knowledge of data quality assessment methodologies and metrics. Background in supporting enterprise data management or analytics programs. Eligibility: Must be legally authorized to work in the United States without employer sponsorship, now or in the future. Active Secret clearance required for this role. Benefits Salary: Competitive, commensurate with experience.

Location: Washington, DC (Hybrid) Clearance Required: Active Secret Position Type: Full-Time We are seeking a highly experienced Senior Scrum Master to support enterprise data and analytics initiatives for our federal client. The ideal candidate will bring deep expertise in Agile methodologies, servant-leadership, and cross-team facilitation within complex program environments. This role will focus on guiding multiple Agile teams, coaching Product Owners, and ensuring delivery of mission-critical solutions by fostering collaboration, accountability, and continuous improvement. Strong facilitation, conflict resolution, and stakeholder management skills are required, along with proven experience in SAFe, Scrum, and Kanban frameworks. Primary Responsibilities: Serve as Scrum Master for multiple Agile teams delivering enterprise data and analytics solutions. Facilitate Scrum ceremonies including Sprint Planning, Daily Stand-ups, Sprint Reviews, and Retrospectives. Guide teams in applying Agile principles, practices, and frameworks to maximize value delivery. Partner with Product Owners to refine backlogs, establish priorities, and define acceptance criteria. Track and communicate team progress, velocity, and impediments to stakeholders and program leadership. Foster a culture of servant-leadership, accountability, and continuous improvement. Support cross-team coordination, dependency management, and risk mitigation across the program. Collaborate with Program Management to ensure team outputs align with strategic objectives. Utilize Agile tools such as JIRA and Confluence for tracking, reporting, and transparency. Requirements Minimum Qualifications: Active Secret clearance (required at time of application). Bachelor’s degree in Business, IT, or a related field. 8+ years of experience as a Scrum Master or Agile Coach within IT programs. Strong knowledge of Agile methodologies including Scrum, SAFe, and Kanban. Proficiency with JIRA, Confluence, and MS Teams. Excellent facilitation, conflict resolution, and servant-leadership skills. Demonstrated ability to manage multiple teams and stakeholders in complex environments. Certified ScrumMaster (CSM), SAFe Scrum Master (SSM), or PMI-ACP certification required. Preferred Qualifications: Experience supporting large-scale enterprise data and analytics initiatives. Strong written and verbal communication skills for both technical and non-technical stakeholders. Familiarity with Agile metrics and reporting to drive performance improvements. Background in federal consulting or mission-driven environments. Eligibility: Must be legally authorized to work in the United States without employer sponsorship, now or in the future. Active Secret clearance required for this role. Benefits Salary: Competitive, commensurate with experience.

We are seeking a talented and experienced Sr. Data Scientist to join our team. As a Data Scientist, you will play a crucial role in designing, developing, and implementing data science solutions to empower investigators and enhance our capabilities in extracting meaningful information and identifying anomalous patterns of activity. Responsibilities: Collaborate with subject matter experts, team leads, and third-party vendors to define new features and functions for automation, aiding investigators in extracting meaningful information about a target and their surrounding network. Design, code, test, and document data science microservices primarily in Python. Support the integration of disparate bulk data sources into a unified database. Develop and optimize graph traversal queries and analytic pipelines to support analyst use cases, ensuring smooth transition from development to test and production environments. Extract valuable information from unstructured text, including SAR narratives and web scraped data related to cryptocurrency addresses and actors. Generate synthetic data for testing and development environments, as well as for the MM capstone training, adapting to evolving MM training and data holdings. Requirements Proficient in Python programming. Experience with graph traversal languages such as Gremlin, Cypher, or GraphML, along with expertise in network analytics, including centrality, community detection, link prediction, pattern recognition, and blockchain analytics (Preferred). Strong SQL or other relational database query experience. In-depth knowledge of graph-structured data and analytics. Familiarity with Natural Language Processing (NLP) techniques. Background in financial and banking data analytics, including insights from data and unstructured data-information extraction. Expertise in blockchain architecture and cryptocurrency data analytics. Knowledge of GPS technology and its integration into analytical processes. Experience with cloud platforms, specifically Amazon Web Services (AWS). Understanding of machine learning algorithms and their application in cybersecurity analytics. Qualifications: Bachelor's or advanced degree in Computer Science, Data Science, or a related field. 5 plus years’ experience in a similar role Strong communication and collaboration skills. Ability to work in a dynamic and fast-paced environment. An active Top Secret clearance is required. #IND123  

Role: iOS Developer Location: Dallas TX - Onsite Position Type: Contract – Only W2 Job Description: Preferred Skills: - 5+ years of experience as an iOS Mobile Developer, with expertise in developing and deploying production-grade mobile applications. - Strong proficiency in Swift and SwiftUI and Objective-C for iOS development. - Experience integrating mobile with backend services via RESTful APIs and cloud-based solutions. - Knowledge of secure coding practices for mobile apps to ensure user data protection. - Familiarity with CI/CD tools, such as Jenkins or Azure DevOps. - Experience with mobile app monitoring, analytics, and debugging tools. - Knowledge of iOS app store submission guidelines and troubleshooting potential app rejections. - Strong understanding of mobile offline storage, app performance optimization, UI/UX best practices, and ensuring smooth user interactions. - Knowledge of AI/ML, LLMs, and GenAI applications. - Experience with Android development is a plus. Preferred Skills: - 5+ years of experience as an iOS Mobile Developer, with expertise in developing and deploying production-grade mobile applications. - Strong proficiency in Swift and SwiftUI and Objective-C for iOS development. - Experience integrating mobile with backend services via RESTful APIs and cloud-based solutions. - Knowledge of secure coding practices for mobile apps to ensure user data protection. - Familiarity with CI/CD tools, such as Jenkins or Azure DevOps. - Experience with mobile app monitoring, analytics, and debugging tools. - Knowledge of iOS app store submission guidelines and troubleshooting potential app rejections. - Strong understanding of mobile offline storage, app performance optimization, UI/UX best practices, and ensuring smooth user interactions. - Knowledge of AI/ML, LLMs, and GenAI applications. - Experience with Android development is a plus.

Job Title : Grafana Developer with Python Location : (Plano, TX/ Columbus OH) W2 contract We are looking for a skilled Grafana Developer with Python expertise to join our team. Requirements Job Description: • Strong experience with Grafana in a production environment, including dashboard creation, alerting, and data source integrations. • Proficiency in Python, with experience in libraries like Pandas, NumPy, or others for data processing. • Experience integrating Grafana with data sources such as Prometheus, Elasticsearch, InfluxDB, or MySQL. • Familiarity with time-series databases and concepts such as monitoring, metrics collection, and alerting. • Ability to write efficient Python scripts to automate data ingestion, transformation, and integration with Grafana. • Solid understanding of API integrations and data pipelines. • Experience with version control systems such as Git. • Strong problem-solving and troubleshooting skills to quickly address issues with dashboards or data sources. • Good communication skills, with the ability to collaborate with cross-functional teams.

Key Responsibilities : Design, Develop, and Implement Machine Learning Models Create and fine-tune machine learning models using Python. Utilize expertise in time series models to understand user queries and intent. Explore potential applications of GenAI to understand user queries and intent. Build and maintain robust data pipelines using Databricks (experience required). Package and deploy the machine learning service using Docker containers . Ensure the service is scalable, reliable, and secure. Write clean, maintainable, and well-documented code using Object-Oriented Programming (OOP) principles. Develop and execute unit tests to ensure code quality and reliability. Collaborate with cross-functional teams including data science, engineering, and product teams to bring the fashion assistant service to life. Participate in client management and project management activities as needed. Required Skills : Python: Expert level proficiency in Python programming with 5+ years of experience Docker: Experience in deploying services using Docker containers. Object-Oriented Programming (OOP) and Unit Testing: Expert in OOP principles and unit test-driven development methodologies. Generative AI (GenAI): Basic understanding of GenAI applications.