Role Description
About Us
Every moment of every day, people around the world rely on the energy they access through infrastructure built by Quanta. Comprising the largest skilled-labor force in North America, our employees are highly skilled and innovative, continually working to connect people and power. We’re building the infrastructure that supports the energy transition, and there are more opportunities than ever to be part of our team. Join us and build your career building a brighter future.
Imagine what you could do here. We encourage, inspire, and support our people to seize opportunities in our corporate office and with hundreds of our operating companies worldwide that provide solutions for the utility, renewable energy, electric power, industrial, and communications industries.
Quanta actively promotes and maintains a culture of belonging where all employees can be themselves, live their values, and find opportunities to succeed. When you join our team, you join a dynamic organization in which career development is encouraged, excellence is rewarded, and diversity is prized. Come find out how our people power modern life. About this Role
The Forward Deployed Engineer (FDE) is a hands-on technical consultant embedded in some of Quanta's most innovative and fast-moving projects. You will partner with business leaders, domain experts, and engineers to design, prototype, and deploy real-world solutions focused on AI, applications, and automation build around our enterprise Databricks Lakehouse platform. From domain-specific chatbots to internal tooling and backend process automation, you'll work across a wide range of business and technical domains-energy infrastructure, operations, finance, safety, logistics, and more. This role emphasizes speed, adaptability, and using AI-powered development workflows to accelerate delivery and impact. What You'll Do
Engage directly with internal stakeholders and operating units to understand technical needs and business priorities
Translate requirements into working software prototypes and full-featured solutions
Use AI-assisted tools for code generation, automation, data analysis, and research acceleration
Build integrations, applications, and scripts across cloud services, APIs, and enterprise systems
Iterate rapidly on solutions with continuous feedback from subject matter experts
Deploy applications to production environments and provide post-deployment support
Document learnings, design decisions, and reusable components to support scale and knowledge-sharing
Stay current with emerging AI tools and technologies-and help bring them into use across Quanta's ecosystem What You'll Bring
- Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related field
- 5-10 years of experience in software development, systems integration, or technical consulting
Licenses / Certifications:
- None required
- Cloud certifications or AI/ML specializations are a plus
Knowledge and Skills:
- 2+ Years hands on experience with Databricks in an enterprise setting
- Proficiency in at least one modern programming language (e.g. Python, JavaScript, Java, Go)
- Strong problem-solving mindset with a consultative approach
- Familiarity with cloud environments (AWS, Azure, or GCP) and modern development practices (CI/CD, containers, APIs)
- Experience using AI tools such as GitHub Copilot, ChatGPT, Claude, or similar for development workflows
- Ability to learn new technologies and domain contexts quickly
- Excellent communication and collaboration skills, with the ability to work across disciplines
What You'll Get
Competitive compensation and benefits package
Flexible work options (on-site, hybrid, or remote)
Educational assistance and learning resources
Wellness and Mental Health programs
Paid Parental Leave
Employee Referral Program
Learning and Development Programs
In-office amenities and perks (where applicable) Equal Opportunity Employer
All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, national origin or ancestry, sex (including gender, pregnancy, sexual orientation, and/or gender identity), age, disability, genetic information, veteran status, and/or any other basis protected by applicable federal, state or local law.
We are an Equal Opportunity Employer, including disability and protected veteran status.
We prohibit all types of discrimination and are committed to providing access and equal opportunity for individuals with disabilities. For additional information or if reasonable accommodation is needed to participate in the job application, interview, or hiring processes or to perform the essential functions of a position, please contact us the Company’s Human Resources department.
About Forward Deployed Engineering
Forward Deployed Engineers are embedded directly with customers to build custom solutions, integrate products into existing infrastructure, and bridge the gap between product engineering and customer success. The role combines deep technical skills with the ability to operate in client environments and translate business requirements into working software.
Originally pioneered by Palantir, the FDE model has spread across AI, enterprise SaaS, and cloud infrastructure companies. FDEs write production code, architect integrations, train customer teams, and feed product insights back to the core engineering organization. At companies like OpenAI, Salesforce, and Databricks, FDE teams are treated as elite engineering units that can ship custom solutions in days rather than quarters.
Typical FDE stack: Python, TypeScript, SQL, REST/GraphQL APIs, cloud platforms (AWS/GCP/Azure), and increasingly LLM APIs and AI orchestration frameworks. Strong communication and the ability to context-switch between technical and business conversations are as important as coding ability.
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