Data Engineer

Data Platform & Visualization Engineer @Los Altos, CA • • Must be local and open to 2days onsite (Only Locals) • • Must be open to W2/1099 contracts- NO C2C Important Skills: Python-focused data platform engineer with experience building reliable ingestion pipelines, SQL-backed metrics systems, backend APIs, and web-based dashboards for ML and experimentation workflows in AWS environments. • The company collects a lot of data on a monthly trip and potentially from simulations. • Currently, they are not handling much of it. • The main target is that their monthly trip collects a large amount of vehicle data. • Previously, it used to be mostly just vehicle numbers. • They are starting to add a lot of camera and LIDAR data, which means that the scale of the data is getting larger. • Looking for someone junior to help with the existing ingestor system that ingests the data and uploads it to S3. • Bandwidth is very limited (100 Mbps) because they go to a remote location, and they are trying to upload 500 GB of data per night. • They want some sort of orchestration logic for sequencing and prioritizing certain steps. • Once the data is up there, they are looking for someone with front-end experience to navigate, filter, and create metadata. • This will require some back-end experience as well to handle the data. Nice to have: experience with ML experiment tracking, data provenance systems, workflow orchestration frameworks, advanced data visualization, LLM-based automation, and cloud-deployed Python services. YOE: 3–5 years of professional experience in software or data engineering roles would be reasonable. Strong candidates with 2+ years but highly relevant projects (pipelines, dashboards, AWS, Python) could also be considered. Nice-to-haves: ML experiment tracking, LLM-based automation, data lineage — typically seen in candidates with 2–5+ years of hands-on experience in data engineering or full-stack data platforms. Notes: Impactful Work: You’ll build and maintain systems that support cutting-edge research, scientific computing, and platform engineering initiatives, making a real difference in the organization. Collaborative Culture: Work closely with talented engineers, data scientists, and cross-functional teams in a supportive, team-oriented environment. Professional Growth: Opportunities for continuous learning, exposure to modern technologies (Python, FastAPI, Terraform, AWS), and mentorship from senior leaders. Innovation-Driven: The company encourages creative problem-solving, experimentation, and contributing ideas that influence products and infrastructure. Hybrid Flexibility: A mix of onsite and remote work (2 days in Los Altos), promoting work-life balance while maintaining team collaboration. Stability & Longevity: Employees appreciate the company’s commitment to growth, career development, and a culture of recognition and retention. Strong Values & Vision: People stay because of the organization’s mission-driven work, commitment to high-quality engineering, and investment in employees’ long-term success 5-10 on team Best Regards. Sara RG, DRS IT Solutions, Inc 28175 Haggerty Road, Novi, MI 48377 (C) 248-440-7600 EXT -4 sara@drsitsolutions.com