Actual Vacancies Filled Jobs
446,637 open positions · Updated daily
Actual Vacancies Filled currently offers 7027 openings, reflecting a surge in demand for talent that can translate raw data into actionable insight. Companies in fintech, health tech, and renewable energy are scaling teams to deploy AI pilots, real‑time analytics, and cloud migration projects, creating a high‑velocity hiring environment.
Roles span Data Scientists, Machine Learning Engineers, Cloud & DevOps Engineers, and Product Managers focused on analytics platforms. Typical responsibilities include building end‑to‑end pipelines with Spark or Flink, deploying models on Kubernetes, automating infrastructure with Terraform, and collaborating with cross‑functional teams to translate business metrics into product roadmaps.
Salary transparency is vital because Actual Vacancies Filled professionals often negotiate complex compensation structures that include base, bonus, equity, and data‑driven incentives. Knowing the full package upfront lets candidates compare offers, negotiate effectively, and ensure alignment with market rates for niche technical skill sets.
AI Platform Engineer (GCP) - Remote
Company: The Hartford
Location: Chicago, IL
Posted Jul 07, 2025
Bachelor's degree in Computer Science, Computer Engineering, or a technical field. Manage engineering tasks, driving execution, and optimizing workflows with…
Internal Communications and Graphic Design Specialist
Company: ACCO Engineered Systems
Location: Pasadena, CA
Posted Jul 07, 2025
Proficiency in graphic design tools such as Adobe Creative Suite (Illustrator, Photoshop, InDesign) and other relevant design software.
Director, Cloud Engineering
Company: Early Warning Services
Location: Scottsdale, AZ
Posted Jul 07, 2025
Experience with state-of-the-art technology, architecture and design concepts, operating systems, database systems, computer networking, and security.
CDL-A Truck Driver (Lease): 100% no touch
Company: Riverside Transport
Location: Dallas, TX
Posted Jul 07, 2025
$594 fixed truck payment. SAP drivers not eligible for hire. Average $1,400 - $1,650* weekly take-home pay, while moving toward truck ownership.
CDL-A Truck Driver (Lease Purchase): $5k sign on
Company: Riverside Transport
Location: Dallas, TX
Posted Jul 07, 2025
$594 fixed truck payment. SAP drivers not eligible for hire. Average $1,400 - $1,650* weekly take-home pay, while moving toward truck ownership.
Security Guard
Company: Covenant Living
Location: Spring Valley, CA
Posted Jul 07, 2025
Current state driver’s license (CDL preferred) and a good driving record. In emergency situations, calls 911 and ensures connection with responding emergency…
Administrative Workforce Reporting Analyst, OCCCS
Company: New York City Department of Education
Location: Brooklyn, NY
Posted Jul 07, 2025
A four- year high school diploma or its educational equivalent and four years of satisfactory full-time experience in an industrial or governmental agency in…
Business Analyst Associate - February 2026
Company: Capital One - Campus
Location: Plano, TX
Posted Jul 07, 2025
Be a key decision maker and business owner, driving recommendations, implementing solutions and realizing your impact, all while collaborating with senior…
Project Manager I EDS
Company: ICON Plc
Location: New York, NY
Posted Jul 07, 2025
Manage bioanalytical studies to ensure that bioanalysis is well coordinated with in life study phases, and that samples are appropriately tracked throughout the…
CDL-A Truck Driver (1099)
Company: Riverside Transport
Location: Dallas, TX
Posted Jul 07, 2025
$594 fixed truck payment. SAP drivers not eligible for hire. Average $1,400 - $1,650* weekly take-home pay, while moving toward truck ownership.
CDL-A Truck Driver (Lease Purchase): $5k sign on
Company: Riverside Transport
Location: Plano, TX
Posted Jul 07, 2025
$594 fixed truck payment. SAP drivers not eligible for hire. Average $1,400 - $1,650* weekly take-home pay, while moving toward truck ownership.
AI Engineer, Point72 Ventures
Company: Point72
Location: York, WA
Posted Jul 07, 2025
Blending AI with practical engineering - Create LLM-powered agents that seek to solve real business problems while building foundational data infrastructure.