A/V Field Technician Position

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.

Hiring assistant mechanic for diesel repair

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.

We are seeking an experienced Low Voltage Technician with a strong background in low voltage systems and end user support. The ideal candidate will have expertise in the installation and configuration of various low voltage systems, including structured cabling, security camera systems, access control systems, fiber optics, sound systems, and video conferencing systems. Key Responsibilities: Follow requested tasks, running/terminating network wiring. Mounting AP's as needed Configuration, and troubleshooting of structured cabling, security cameras, access control, fiber optics, sound systems, and video conferencing systems. Ensuring high-quality work and adherence to safety and industry standards. Coordinate with project managers, contractors, and clients to ensure timely completion of daily tasks. Provide on-site technical expertise, resolving issues as they arise. Build strong relationships with clients through excellent customer service and communication skills. Assist in Deco of old info-structure Document existing site inventory as needed Assist in upgrading hardware, both on the network side along with the end user side. OK with heights up to 60 feet in the air as needed Willing to travel as needed Has a reliable transportation method in order to get to and from the job site as needed.

About PITS Data Recovery Services is seeking a skilled Device Repair & Soldering Technician to join our Brooklyn-based team. You’ll perform precision repairs, soldering, and diagnostics on data storage devices like HDDs, SSDs, laptops, and phones. Candidates must have hands-on electronics repair experience, be detail-oriented, and able to communicate in Russian or English. This is a full-time, on-site position (Mon-Fri, 9 AM–6 PM). Only NYC residents should apply. Job Duties - Perform soldering, precision part replacements, and other electronics repair tasks - Open and service data storage devices (HDDs, SSDs, laptops, phones, etc.) - Diagnose and repair at the board/component level with attention to detail - Register and label incoming devices; maintain parts inventory and workspace organization - Labeling devices/parts, and storing according to the procedure, sorting out the spare parts Qualifications - Hands-on experience in electronics repair required (computers, phones, or other devices) - Proficiency in soldering small components, replacing parts, and handling delicate repairs - Comfortable with fine, detailed, and repetitive tasks - Communication in Russian or English (perfect English not required) - Dependable, punctual, and precise in following procedures Additional Workdays: Mon-Fri, 09:00 am-6:00 pm (40 hrs. weekly, 1 hr. unpaid lunch/personal time) Address: Brooklyn, NY 11229. Contact: hr@pitsdatarecovery.com Important: Only candidates currently residing in NYC should apply. This is an on-site position; remote work is not available.