Top Tech Jobs & Startup Jobs

Data Engineering Intern will build data pipelines, tools, and infrastructure for large-scale data warehousing. The intern will work with AWS, Redshift, Glue, ECS, DMS, Fivetran, Airflow, DataHub, Terraform, Python, and SQL while collaborating with Risk, Commerce, Marketing, Operations, and Finance. Responsibilities include learning the data platform, contributing production code, shipping a pipeline or infrastructure improvement, presenting work, and engaging with business stakeholders.

Provides corporate and transactional legal counsel for healthcare technology operations. Drafts and negotiates technology, licensing, security, privacy, and business associate agreements; advises on cybersecurity incidents, HIPAA/HITECH, privacy laws, payer requirements, and regulatory compliance; assesses legal risks; manages disputes and litigation; develops policies; and partners with security, compliance, finance, operations, and business teams.

Provide child-centered immigration legal services to unaccompanied children: Know Your Rights presentations, legal screenings and consultations, direct representation before EOIR and USCIS, case preparation and filings, client/hearing preparation, data reporting, and coordination with sponsors and service providers. Support quality assurance, supervise 1-2 staff, maintain case databases, and comply with ORR standards and background checks.

Leads a multi-client 3PL distribution operation supporting DTC and B2B fulfillment. Oversees managers, supervisors, leads, and hourly associates; manages staffing, training, performance, labor costs, safety, customer service, and operational KPIs. Drives process improvements, shift execution, resource allocation, financial performance, and workforce productivity while maintaining a safe, collaborative environment.

Develop and evaluate machine-learning and statistical analytics for cyber defense using network and operational telemetry. Build anomaly detection, clustering, entity-resolution, graph, time-series, and behavioral-baselining models for noisy, large-scale datasets. Collaborate with cyber analysts and detection engineers, measure model effectiveness, and integrate production-quality Python analytics into CPU- and GPU-enabled platforms. Design rigorous evaluation harnesses and select appropriately among LLMs, conventional machine learning, statistics, and deterministic rules.

Directs and motivates a residential new-home sales team of approximately 30 employees. Responsibilities include recruiting, hiring, training, coaching, performance management, staffing community locations, monitoring sales activity, maintaining coverage, reviewing reports, conducting competition studies, supporting customer and Realtor interactions, implementing process changes, and collaborating with sales, marketing, construction, finance, and leadership teams. The role also oversees safety implementation and travels among field locations.

Supports advanced ceramic manufacturing processes through documentation, data collection, troubleshooting, equipment and tooling support, process validation, root-cause investigations, and continuous improvement. The role collaborates with Engineering, Production, Quality, Maintenance, Supply Chain, and suppliers; assists with equipment qualification, facility layout, Lean and Kaizen activities, employee training, and safe production-process sustainment in a 50/50 office and manufacturing environment.

Provide advanced technical support for an AI-powered healthcare product. Diagnose, debug, and resolve complex customer issues, own escalations through resolution, monitor system health, and collaborate with engineering and product teams. Identify recurring problems, improve support processes and tooling, and help maintain reliability in high-trust clinical environments.

Manages IT Operations workflows, updates operational systems, gathers and organizes IT information, troubleshoots applications, and identifies solutions to improve performance. Advises IT Operations Analysts and Managers on system capabilities, coordinates implementation of improvements, learns multiple applications, supports compliance requirements, and may direct colleagues through issues and projects. Travel to company locations may be required.

Build and operate production machine learning platforms and pipelines, including deployment, monitoring, retraining, governance, and lifecycle management. Maintain and improve enterprise sales forecasting models by diagnosing accuracy degradation, engineering features, tuning algorithms, and evaluating performance. Deploy workloads on Vertex AI and BigQuery, operationalize generative AI, manage infrastructure as code, ensure data and model lineage, troubleshoot failures, and collaborate with Data Science, Engineering, Security, Finance, Operations, and Supply Chain.