Sr. Forward Deployed Engineer - Financial Services

United States Digital Space LLC; Central (LA); On-site; USD 180,656 - 248,360; Full time

Benefits offered by this job

Comprehensive benefits

Job summary

United States Digital Space LLC is looking for a Forward Deployed Engineer (FDE) based in Central, Louisiana. In this customer-facing role, you'll design and implement data and AI solutions tailored to client needs while collaborating across teams to maximize impact.

The FDE will utilize their engineering skills and adaptability to solve complex problems. With 6+ years of experience required, you should be proficient in multiple programming languages and cloud platforms, and have a strong background in Apache Spark.

Qualifications

• 6+ years experience in data engineering, analytics, or software engineering.
• Comfortable writing code in Python, Scala, or JavaScript/TypeScript.
• Deep experience with distributed computing using Apache Spark.

Responsibilities

• Lead impactful customer technical projects for production-grade systems.
• Guide customers implementing transformational big data projects.
• Ensure solutions are secure, scalable, and aligned with customer needs.

Skills

Data engineering

Software engineering

Python

Apache Spark

AWS

MLOps

CI/CD

Tools

Python

JavaScript/TypeScript

Cloud ecosystems

Job description

CSQ327R59

As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the the company 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 the company.
• Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and the company best practices.
• Work with the the company 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 the company 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 the company 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 the company‑based solutions to complete customer projects.
• Travel to customers 20% of the time
• the company Certification

Pay Range Transparency

Zone 1 Pay Range: $180,656 – $248,360 USD

Zone 2 Pay Range: $180,656 – $248,360 USD

Zone 3 Pay Range: $180,656 – $248,360 USD

Zone 4 Pay Range: $180,656 – $248,360 USD

Benefits

At the company, 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, contact your local office.