Top Tech Jobs & Startup Jobs

Early-career data scientist building and maintaining pipelines that convert high-frequency sensor data into analysis-ready datasets, developing time-series ML models, supporting LLM/embedding workflows, creating dashboards and tools, performing exploratory analysis, and translating SME requirements into production-ready code and monitored models.

Lead and deliver large-scale software development programs by planning, executing, monitoring, and closing projects. Partner with IT, infrastructure, operations, and vendors; manage finances, risks, and stakeholder communications; champion Agile and CI/CD practices, coach teams, and use tools like Jira, Azure DevOps, Confluence, and Microsoft Project to ensure timely, quality delivery.

Develop and deploy ML and deep learning models (NLP-focused) for intelligent document processing. Perform data analysis, preprocessing, feature engineering, build RAG pipelines and MLOps workflows, collaborate with stakeholders and data engineers, and present findings to drive data-driven decisions.

Manage administrative activities related to crew and support Tool Pusher with logistics and communication on the rig. Responsible for personnel movements and SAP updates.

Candidates will perform manual labor tasks on a rig site, including rig assembly, equipment operation, and general maintenance duties while demonstrating company values.

The Floorhand performs manual labor tasks on a rig site including equipment operation, maintenance, and rig activities. Must demonstrate company values and work 12-hour shifts. Requires basic English skills and computer skills.

The Principal Network Engineer will design, implement, and optimize global network infrastructure while ensuring security and compliance, mentoring peers, and leading technical projects.

Lead and deliver cloud-based enterprise software solutions by managing a team of R&D engineers. Collaborate with product, electrical, infrastructure, and operations teams to define architecture, drive SDLC best practices, ensure security, reliability, and CI/CD readiness, and promote engineering excellence, automation, and metrics-driven delivery while coaching and developing the team.

Lead design, analysis, and administration of compensation, benefits, retirement, and leave programs. Produce reports and dashboards, manage vendors and fiduciary responsibilities, ensure regulatory compliance, support pay equity and total rewards cycles, and drive process and HRIS improvements to optimize program effectiveness.

Lead and mentor data engineering teams to design, build, and govern enterprise data warehouses, lakes, and lakehouses. Architect scalable ETL/ELT and streaming pipelines, drive cloud migrations, enable BI/AI initiatives, and partner with Finance, Operations, and Supply Chain to deliver analytics and operational reporting.