Desktop Support (Arlington, VA)

The Audio Visual Engineer oversees all audio, video, and livestreaming production for the church for weekly Sunday services as well as special events and holidays. Duties/Responsibilities: Operate mixing board to facilitate professional and clear sounding mixes for live services. Includes several speakers and musicians. Operate PowerPoint presentations to allow the congregation the ability to easily follow the service. Operate PTZ cameras and camera switcher to create a high quality video product. Oversee operation and maintenance of live-stream broadcast Facilitate tech needs during service rehearsals Troubleshoot and fix any issues that may arise during Sunday services Preferred Skills/Abilities: Knowledge of Allen and Heath mixing consoles Proficiency with PTZ camera equipment Understanding of livestreaming and OBS software General computer knowledge and comfort in Windows 11 Qualifications: Experience or training in live sound, particularly church sound Livestreaming and PTZ camera experience Job Types: Part Time Pay: $125/hour

Join one of the fastest-growing robotics companies in the world, building the future of heavy equipment automation. We are pioneering teleoperation systems that allow operators to control real construction machinery from anywhere. We are hiring a full-time Remote Equipment Operator in San Francisco to control a soil compaction roller from our local office using advanced teleoperation systems. You’ll play a key role in making construction safer, faster, and more efficient through cutting-edge robotics. *No prior construction experience is required; full training is provided.* This is a hands-on, full-time role where you’ll work closely with our field teams to deliver real-world results from behind the controls. You’ll also have opportunities to visit job sites occasionally to see the impact of your work and support live deployments. Key Points Full-time position based in our San Francisco office Operate heavy machinery remotely using joystick and screen setup Occasional travel to job sites for training or live operations 40 hours per week, Monday to Friday, 5:00 AM to 1:00 PM (8-hour shifts) Reliable, focused, and tech-comfortable individuals encouraged to apply Steady schedule and competitive hourly pay Full training provided; no construction background required If you’re dependable, detail-oriented, and excited by cutting-edge technology, this is a rare opportunity to help redefine how heavy equipment is operated. Benefits Medical, Dental, Vision & Life Insurance Paid Time Off Holidays 401(k) Package

Location: Washington, DC (Hybrid) Clearance Required: Active Secret Position Type: Full-Time We are seeking a highly skilled Senior Data Engineer to support the U.S. Coast Guard Office of Data & Analytics (ODA). The ideal candidate will bring expertise in Databricks, SQL, ETL pipelines, and cloud-based data frameworks to enable enterprise-scale analytics and decision-making. This role will involve designing, building, and orchestrating data pipelines, collaborating with analysts and developers, and implementing CI/CD practices to ensure scalable, reliable, and secure data solutions. Primary Responsibilities: Build, test, and orchestrate data pipelines in Databricks. Design and optimize data structures, schemas, and ETL processes. Translate business use cases into SQL queries, reports, and dashboards. Manage database objects in development environments without impacting production. Automate workflows using Databricks Workflows or the Jobs API. Integrate code into GitHub/GitLab and support CI/CD practices. Diagnose data gaps and quality issues, and design test cases for validation. Collaborate with developers and analysts to synchronize code and ensure reliability. Requirements Minimum Qualifications: Active Secret clearance (required at time of application). Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field. 7+ years of professional experience in data engineering. Expert-level proficiency in Databricks, Apache Spark, and SQL. Experience with ETL tools such as Kafka, Airflow, or AWS Glue. Proficiency with CI/CD pipelines and GitHub/GitLab version control. Knowledge of cloud platforms (AWS, Azure, GCP). Excellent problem-solving, debugging, and collaboration skills. Preferred Qualifications: Experience supporting federal or mission-critical analytics programs. Knowledge of data governance and metadata management practices. Familiarity with containerization or orchestration tools (Docker, Kubernetes). 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.

A family owned medical equipment sales and service company is in search of a full time biomed technician. We sell refurbished surgical equipment. The job will be located at our facility and will primarily entail electronic troubleshooting, testing, calibration, tech support, field service, etc. must have experience with electronic repair to component level, reading schematics, reading technical service manual, research parts, etc. . The amount of tasks and complexity of these tasks would increase as one becomes more familiar with our business. Training is available but individual will need to invest time in learning on their own.

Location: Washington, DC (Hybrid) Clearance Required: Active Secret Position Type: Full-Time We are seeking a highly skilled Senior Data Scientist to support enterprise data and analytics initiatives for our federal client. The ideal candidate will bring expertise in AI/ML development, advanced analytics, and automation to deliver mission-focused solutions. This role will involve providing technical leadership, developing predictive models, and collaborating with cross-functional teams to ensure analytics capabilities are scalable, secure, and aligned with enterprise objectives. Strong proficiency with Python, AI/ML frameworks, and RPA tools is required. Primary Responsibilities: Provide technical leadership on enterprise analytics and AI/ML solutions. Design, develop, and deploy machine learning models and predictive analytics. Utilize Python, Anaconda, and Jupyter notebooks for modeling and prototyping. Collaborate with Data Engineers to integrate models into scalable data pipelines. Support data governance activities including tagging, metadata management, and secure sharing. Develop RPA solutions to automate business processes. Evaluate and recommend analytics products to ensure mission alignment. Communicate findings through dashboards, data visualizations, and technical reports. Requirements Minimum Qualifications: Active Secret clearance (required at time of application). Bachelor’s or Master’s degree in Data Science, Computer Science, Mathematics, or a related field. 7+ years of professional experience in data science, AI/ML, and advanced analytics. Strong proficiency with Python, Anaconda, and Jupyter notebooks. Expertise in AI/ML frameworks such as TensorFlow, PyTorch, and Scikit-learn. Experience with RPA tools (UiPath, Automation Anywhere, or Python-based automation). Familiarity with Databricks, Apache Spark, and SQL. Excellent communication, documentation, and stakeholder engagement skills. Preferred Qualifications: Experience supporting federal or regulated environments. Knowledge of MLOps practices for deploying and managing ML models at scale. Background in data governance and enterprise metadata management. 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.

I am looking for a skilled technician or programmer who can reprogram a vehicle speedometer to convert the display from Kilometers (KM/H) to miles per hour (MPH) The work may involve either software reprogramming or hardware calibration, depending on the vehicle. (RESPONSABILITIES) Ensure accuracy and proper functioning after conversion. Provide documentation of the process and verification of results. (REQUIREMENTS) Proven experience with automotive programming. Ability to work with different makes and models. Attention to detail and accuracy. "WE WILL PAY FOR YOUR RELOCATION"