Forward Deployed Engineer (FDE)

TechDigital Group; Washington; Hybrid; USD 150,000 - 190,000; Full time

Job summary

TechDigital Group is seeking a Forward Deployed Engineer in Washington to tackle end-to-end data challenges using Palantir Foundry, PySpark, and pipeline development. You will design, implement, and deploy scalable data solutions, bridging engineering and business needs.

Experience with streaming data, object modeling, and telecom/network analytics is a plus; strong communication and quick iteration are essential.

Qualifications

• Minimum 3+ years as a Palantir Developer with familiarity across Palantir modules.
• Experience building data pipelines with PySpark; streaming data experience is a plus.
• Strong object modeling experience and data transformation skills.
• Proactive communication and fast iteration as an IC in a fast-paced environment.
• Telecom/network domain experience is a plus.

Responsibilities

• Design, develop, and optimize data pipelines using Palantir Foundry, PySpark, and big data frameworks.
• Implement object models and transformations for seamless data integration.
• Architect and deploy streaming solutions for real-time data processing.
• Work with customers and internal teams to translate business needs into technical solutions.
• Own end-to-end development from requirements gathering to deployment.
• Optimize workflows for performance, scalability, and reliability.
• Provide proactive communication to stakeholders on progress and solutions.

Skills

Communication skills

Independent contributor

Problem solving

Customer-facing mindset

Tools

Palantir Foundry

PySpark

Kafka

Spark Streaming

Flink

Python

SQL

Job description

Top Must Have's:

• Palantir Foundry - Experience of minimum 3+ years as a Palantir Developer. Familiarity with all the different modules with Palantir is a must.


• Data Transformation: highest priority being PySpark and Pipeline Builder. Experience with streaming in Foundry would be a huge plus, but knowledge of handling streaming data is a must.


• Ontology Development: object modeling experience with at least some experience in action types as well.


• Soft Skills: maybe even more importantly, we need folks who are proactive in communication and fast in their development as that's expected by the NOC team. Someone who is confident in their Foundry abilities and isn't afraid to ask questions to progress.

We are looking for a Forward Deployed Engineer (FDE) with expertise in data transformation, PySpark, and pipeline development to drive end-to-end solutions for complex data challenges. This role requires a strong foundation in object modeling, streaming architectures, and scalable data processing, with the ability to work as an individual contributor in a fast-paced environment. Experience in the telecom and network domain is a plus.

As an FDE, you will work directly with customers to design, implement, and deploy mission-critical applications leveraging Palantir Foundry and other data platforms. You will bridge the gap between engineering and business needs, rapidly developing scalable solutions that transform raw data into actionable insights.

Key Responsibilities:

• Design, develop, and optimize data pipelines using Palantir Foundry, PySpark, and big data frameworks.


• Implement object models and transformations to enable seamless data integration.


• Architect and deploy streaming solutions for real-time data processing.


• Work closely with customers and internal teams to understand business challenges and translate them into technical solutions.


• Independently own and execute end-to-end development, from requirements gathering to deployment.


• Optimize data workflows and infrastructure for performance, scalability, and reliability.


• Provide proactive communication, keeping stakeholders informed on project progress and technical solutions.


• (Preferred) Leverage telecom and network domain expertise to build industry-specific solutions.

Required Skills & Qualifications:

• Strong experience in Palantir Foundry, PySpark, and big data transformations.


• Expertise in building and optimizing scalable data pipelines.


• Solid knowledge of object modeling, data structures, and schema management.


• Experience with streaming technologies (Kafka, Spark Streaming, Flink, etc.).


• Ability to work independently as an individual contributor, with fast turnaround times.


• Excellent problem-solving and communication skills, with a customer-centric approach.


• Proficiency in Python, SQL, and distributed computing frameworks.


• (Preferred) Experience in telecom and network analytics.

Preferred Qualifications:

• Experience with cloud platforms (AWS, Azure, GCP) and CI/CD automation.


• Strong understanding of data governance, security, and compliance.


• Hands‑on experience with machine learning, anomaly detection, or predictive analytics.