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Vertex Energy Jobs (NOW HIRING)

Krest Global Solutions

DATA Engineer GCP

Atlanta, GA · On-site

$58 - $60/hr

Collaborate with data scientists to support Vertex AI workflows and explore the use of Gemini ... Domain experience in energy , utilities , or industrial sectors Experience Requirements:

Northwestern Mutual

Lead Operations Associate

Hopkins, MN · On-site

Salary: $60,000-$80,000 Depending on Qualifications About Vertex Capital Planning At Vertex Capital ... Successful completion of tasks and responsibilities empowers the team to focus their energy and ...

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Mainspring Energy

Tax Manager

Menlo Park, CA · On-site

$116K - $175K/yr

Exposure to energy tax incentives, R&D tax credits, or other business tax credits * Experience with tax technology platforms such as Avalara, Vertex, OneSource, or CorpTax * Exposure to IPO readiness ...

Mainspring Energy

Tax Manager

Menlo Park, CA · On-site

$116K - $175K/yr

Exposure to energy tax incentives, R&D tax credits, or other business tax credits * Experience with tax technology platforms such as Avalara, Vertex, OneSource, or CorpTax * Exposure to IPO readiness ...

Mainspring Energy

Principal AI Architect

Menlo Park, CA · On-site +1

$227K - $280K/yr

About Mainspring Mainspring Energy manufactures and delivers fuel-flexible, low-emissions local ... via Vertex AI ). Expert-level proficiency in architecting agentic design patterns-including MCP ...

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Vertex Energy information

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$39.5K

$86.4K

$154.5K

How much do vertex energy jobs pay per year?

As of Jul 4, 2026, the average yearly pay for vertex energy in the United States is $86,388.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,000.00 and $108,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Vertex Energy position, and why are they important?

To excel at Vertex Energy, you typically need a background in engineering, environmental science, or business, along with experience in the energy or oil recycling sector. Familiarity with industry-related software for process management, environmental compliance systems, and relevant certifications like HAZWOPER or RCRA is highly beneficial. Strong project management, teamwork, and effective communication skills are crucial for coordinating with cross-functional teams and ensuring safety standards are met. Mastery of these skills ensures efficient operations, regulatory compliance, and successful collaboration within a dynamic energy environment.

What advancement opportunities are available for employees at Vertex Energy?

Vertex Energy offers a range of career growth options, including advancement into supervisory, management, or specialized technical roles within the organization. Employees often have the opportunity to cross-train in different departments such as operations, compliance, and engineering, strengthening their skillsets and opening new career paths. The company encourages professional development through ongoing training, certifications, and mentorship programs. Promotion is based on performance, initiative, and a willingness to take on increased responsibilities, so motivated individuals can achieve significant career progression.

What is a Vertex Energy job?

A Vertex Energy job typically refers to a position within Vertex Energy, a company specializing in refining and recycling used oil and petroleum products. Employees may work in various roles, including engineering, operations, environmental compliance, and corporate functions. These jobs support the company's mission to provide sustainable energy solutions. Roles may require expertise in energy production, regulatory compliance, or supply chain management.

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Vertex Energy jobs near you

DATA Engineer GCP

Krest Global Solutions

Atlanta, GA • On-site

$58 - $60/hr

Contractor

Posted 6 days ago

Job description

Job Title: DATA Engineer – GCP

Work Time Zone: EST

Rate: $58-60/hour on 1099/C2C

Location: Atlanta, GA (Hybrid – 3 days on-site)

We are looking for a highly capable Data Engineer to design, build, and maintain reliable, scalable data pipelines and infrastructure on Google Cloud Platform (GCP).. The ideal candidate is proficient with BigQuery, Dataflow, and has experience integrating modern tools like Vertex AI and Gemini models for intelligent data workflows.

Core Responsibilities:

  • Data Pipeline Development: Build scalable batch and real-time pipelines using Dataflow, Pub/Sub, Cloud Composer, and Dataproc.
  • Data Warehousing: Design and optimize analytical models in BigQuery, implementing best practices in schema design and performance tuning.
  • Infrastructure & CI/CD: Deploy data infrastructure with Terraform; create and manage CI/CD pipelines for workflow automation.
  • Data Quality & Governance: Implement validation checks, ensure data integrity, and enforce security and governance practices.
  • AI/ML Integration: Collaborate with data scientists to support Vertex AI workflows and explore the use of Gemini models (via BigQuery ML or Vertex AI APIs) for advanced data transformation.
  • Cross-Team Collaboration: Work with analysts, scientists, and business stakeholders to deliver impactful data solution.

Technical Skills:

  • Strong experience with GCP services: BigQuery, Dataflow, Pub/Sub, Cloud Storage
  • Expertise in SQL, Python, and ETL/ELT development
  • Knowledge of Infrastructure as Code tools (e.g., Terraform)
  • Familiarity with CI/CD tools: Google Cloud Build, Jenkins
  • Understanding of data modeling, partitioning, clustering, and materialized views
  • Working knowledge of data quality frameworks and governance principles
  • Experience with Vertex AI, or a strong interest in ML/AI workflows on GCP
  • Apache Spark, Kafka, Apache Airflow
  • DBT or Dataform for transformations
  • Docker, Kubernetes for Containerization
  • Snowflake, Databricks or other modern platforms

Soft Skills:

  • Strong communication and collaboration skills
  • Ability to manage priorities and work independently
  • Analytical thinking and problem-solving mindset

Preferred Skills (Bonus):

  • Google Cloud certifications (e.g., Professional Data Engineer, ML Engineer)
  • Domain experience in energy, utilities, or industrial sectors

Experience Requirements:

  • Education: Bachelor’s degree in computer science, Engineering, Statistics, or related technical field (or equivalent experience)
  • Professional Experience:
    • 8-10 years of experience in data engineering
    • Proven hands-on experience with GCP and modern data architecture