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Entry Level Forward Deployed Engineer Jobs in Texas

NukuDo

Forward Integration Engineer

Dallas, TX · On-site

$102K - $138K/yr

As an AI Forward Deployed Engineer , you'll be hired as a full-time employee from day one. You'll begin with our AI Accelerator Program , where you'll develop the technical and consulting skills ...

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Nukudo, LLC

Be Seen First

Forward Integrated Engineer

Dallas, TX · On-site

$5.5K/mo

As an AI Forward Deployed Engineer , you'll be hired as a full-time employee from day one. You'll begin with our AI Accelerator Program , where you'll develop the technical and consulting skills ...

New

Nukudo, LLC

Forward Integrated Engineer

Addison, TX · On-site

As an AI Forward Deployed Engineer , you'll be hired as a full-time employee from day one. You'll begin with our AI Accelerator Program , where you'll develop the technical and consulting skills ...

New

HRB

Forward Deployed AI Engineer (Palantir)

Dallas, TX · On-site

As a Forward Deployed AI Engineer, you will sit at the intersection of AI engineering, product strategy, and client delivery. Working closely with enterprise partners and clients, you will own the ...

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Entry Level Forward Deployed Engineer information

What is the difference between Entry Level Forward Deployed Engineer vs Entry Level Software Engineer?

AspectEntry Level Forward Deployed EngineerEntry Level Software Engineer
Primary FocusDeploying and supporting hardware/software solutions directly at client sitesDeveloping, testing, and maintaining software applications
Work EnvironmentOn-site client locations and field settingsOffice or remote development environments
Required SkillsHardware knowledge, troubleshooting, communication skillsProgramming, software design, problem-solving
Industry UsageTechnology, defense, and enterprise solutionsTech companies, startups, software firms

While both roles require technical skills, Entry Level Forward Deployed Engineers focus on deploying and supporting solutions directly at client sites, often involving hardware and troubleshooting. Entry Level Software Engineers primarily develop and maintain software applications in office or remote settings. The roles differ mainly in work environment and technical focus, but both are entry-level positions in the tech industry.

What are the most commonly searched types of Forward Deployed Engineer jobs in Texas?

The most popular types of Forward Deployed Engineer jobs in Texas are:

What are popular job titles related to Entry Level Forward Deployed Engineer jobs in Texas?

For Entry Level Forward Deployed Engineer jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Entry Level Forward Deployed Engineer jobs in Texas look for?

The top searched job categories for Entry Level Forward Deployed Engineer jobs in Texas are:

What cities in Texas are hiring for Entry Level Forward Deployed Engineer jobs?

Cities in Texas with the most Entry Level Forward Deployed Engineer job openings:

Infographic showing various Entry Level Forward Deployed Engineer job openings in Texas as of September 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Hybrid job distribution.

Sr. Forward Deployed Engineer (FDE) - Retail

Austin, TX • On-site

Databricks
Software Development • 5 - 10K employees
Learn more about Databricksexternal

$182K - $250K/yr

Full-time

Re-posted 23 days ago

Key responsibilities

  • Work with customers to build and productionize solutions to their data and AI challenges using the Databricks platform.

  • Lead architecture, design decisions, and implement end-to-end systems spanning data engineering, AI, and application development.

  • Guide customers on architecture and design, and assist in implementing customer projects to ensure successful understanding, evaluation, and adoption of Databricks.

Job description

CSQ427R168
As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.
This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.
The impact you will have:
  • Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
  • Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer
  • Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
  • Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.
  • Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.
  • Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.
  • Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.
  • Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.

What we look for:
  • 6+ years experience in data engineering, data platforms & analytics, or software engineering
  • Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks
  • Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
  • Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
  • Familiarity with CI/CD for production deployments
  • Working knowledge of MLOps, ML/AI models and AI APIs
  • Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.
  • Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.
  • Documentation and white-boarding skills.
  • Experience working with enterprise clients and managing conflicts across a broad stakeholder range
  • Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.
  • Travel to customers 20% of the time
  • Databricks Certification

Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
Zone 1 Pay Range
$182,000-$250,208 USD
Zone 2 Pay Range
$182,000-$250,208 USD
Zone 3 Pay Range
$182,000-$250,208 USD
Zone 4 Pay Range
$182,000-$250,208 USD
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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