Enterprise - Palantir Engineer - Kubernetes, RabbitMQ, AWS

Erias Ventures, LLC; Herndon (VA); On-site; USD 150,000 - 265,000; Full time

Benefits offered by this job

Above Market Pay

401k with vesting

Spot Bonuses

Dev & Training Bonuses

Medical Coverage

Vision & Dental

Disability & Life Insurance

Wellness Reimbursement

Paid Time Off

Flexible Schedule

Birthday Off

Amazon Prime

Internet Reimbursement

Equipment Allowance

Company Events

Swag

Professional Development

Job summary

Erias Ventures, LLC in Herndon, VA is seeking a Palantir Platform Engineer to integrate ETL workflows within the Palantir ecosystem, enhancing observability and data conditioning. You will design robust data pipelines using PySpark and Python, applying data governance and leveraging AI to accelerate processing of large datasets.

Familiarity with Palantir Foundry and ontology modeling will guide your work, with ongoing DevOps collaboration.

Qualifications

• Experience with Palantir Foundry and data ontology.
• Strong ETL pipeline design and data conditioning.
• Proficiency in PySpark and Python; familiar with logging/monitoring.

Responsibilities

• Integrate custom ETL workflows within the Palantir ecosystem.
• Connect ETL conditioners to Palantir tooling to enhance observability.
• Design and implement robust data pipelines using PySpark and Python.
• Harness AI to augment data pipelines and improve processing speed.

Skills

Palantir Foundry

Ontology

Data Ontology

ETL Pipelines

PySpark

Python

Logging & Monitoring

Data Governance

DevOps

AI for Data Pipelines

Data Validation

Palantir Tooling

Observability

Data Transformation

Tools

Palantir Foundry

Job description

Enterprise - Palantir Engineer - Kubernetes, RabbitMQ, AWS

• Herndon, VA

Erias Ventures was founded to serve its customers with an entrepreneurial mindset. We value creative problem-solving, open communication, and empowering our employees to make decisions and put forth new ideas.

Our staff includes technical experts working across multiple disciplines, bringing diverse perspectives to every project. We are seeking engineers who wish to grow their careers and want to become part of a technically strong and growth-oriented company focused on bringing innovative solutions to the difficult mission problems facing our customers.

Description

As a Palantir Platform Engineer, you will play a pivotal role in integrating custom ETL workflows within the Palantir ecosystem.

Your responsibilities will include connecting ETL conditioners to Palantir tooling, which enhances observability and accelerates data conditioning efforts.

You will ensure that stakeholders maintain comprehensive insight into each phase of the transformation process, leveraging your expertise in data ontology, logging, and monitoring.

Utilizing your skills in PySpark and Python, you will design and implement robust data pipelines that support seamless data flow and transformation.

In this position, you will also harness AI to augment and optimize data pipelines, driving greater speed and efficiency in processing large datasets.

Your focus on data governance and validation will be essential as you prepare products for integration into advanced analytics tools, ensuring data quality and reliability.

Experience with DevOps practices will be valuable as you manage deployment and operational aspects of the platform, while your familiarity with Palantir Foundry and ontology modeling will help you navigate complex data environments.

Success in this role will be supported by a strong background in building scalable ETL solutions, implementing monitoring frameworks, and collaborating with cross-functional teams to deliver actionable data insights.

Clearance

A current Top-Secret/SCI with polygraph security clearance is required. Candidates cannot be sponsored or nominated for a government security clearance under this position.

Experience

• Experience with Palantir Foundry
• Strong understanding of Ontology and Data Ontology
• Expertise in building and integrating ETL Pipelines
• Proficiency in PySpark and Python
• Experience with Logging and Monitoring solutions
• Knowledge of Data Governance best practices
• Familiarity with DevOps methodologies
• Experience leveraging AI to augment data pipelines
• Strong skills in Validation of data products
• Experience connecting ETL conditioners to Palantir tooling
• Background in increasing observability and accelerating data conditioning
• Experience ensuring end-to-end insight into data transformation processes
• Familiarity with integrating validated products into analytics tools for data exploitation

Benefits

Erias Ventures provides a complete package of wealth, health, and happiness benefits. The expected salary range for this position, depending on education and years of experience is $150,000 - $265,000.

Wealth Benefits

• Above Market Hourly Pay
• 11% Roth or Traditional 401k with Immediate Vesting and Deposit
• Spot Bonuses for Assisting with Business Development and Company Growth
• Professional Development Bonuses for Certificates and Degrees

Health Benefits

• Company subsidizedMedical Coverage
• 100% Company PaidVision andDental Coverage
• 100% Company PaidLong Term Disability,Short Term Disability, andGroup Life Insurance
• MonthlyWellness Reimbursement

Happiness Benefits

• Paid Time Off withFlexible Work Schedules andBirthday Off
• Amazon Prime Membership and MonthlyInternet Reimbursement
• TechnologyandProductivity Allowancefor Equipment and Supplies
• Morale BuildingandCompany Eventsto Celebrate our Successes and Build our Community
• Onboarding and AnnualSwag
• Company Paid Professional DevelopmentandTraining

Diversity & Inclusion

At Erias Ventures, we are dedicated to fostering a diverse and inclusive workplace. As an equal opportunity employer, we ensure that all qualified applicants are considered for employment based on merit, without discrimination. We welcome individuals regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.