Enterprise - Data Engineer - Python, Palantir, SQL Chantilly, VA VA - PHO

Chantilly, 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.

We are seeking skilled and detail‑oriented Data Engineers with expertise in utilizing Python, SQL, and Palantir (or other ETL platforms) to extract, transform, and load structured and unstructured data from various sources. The ideal candidate will have a strong background in data engineering and a deep understanding of ETL processes.

• Write robust and efficient Python and SQL scripts to automate data processing tasks.
• Integrate data from diverse sources, such as databases, APIs, and flat files, into centralized systems.
• Implement data transformations, enrichment, and modeling workflows to ensure data quality and usability.
• Ensure data structures are optimized for performance and scalability.
• Provide technical guidance and support to ensure effective use of Palantir tools across teams.
• Implement data quality checks, validation, and monitoring mechanisms to ensure the accuracy and reliability of datasets.
• Integrate data from diverse sources, such as databases, APIs, and flat files, into centralized systems.
• Ensure proper data transformation and curation to meet business and analytics requirements.
• Maintain and improve data quality, consistency, and accuracy through validation and cleansing processes.

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.

Required skills:

• 3+ years of experience in data engineering.
• Strong proficiency in scripting and programming with Python.
• Expertise in working with SQL for data querying, transformation, and optimization.
• Experience with data integration from diverse sources such as APIs, relational databases, and file systems.
• Strong analytical and problem‑solving skills with attention to detail.
• Excellent communication and teamwork skills to collaborate with technical and business teams.

Desired skills:

• Bachelor’s degree in Computer Science, Data Engineering, or a related field.
• Hands‑on experience with Palantir.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Apache Spark, Hadoop).
• Familiarity with data orchestration tools such as Apache Airflow, Prefect, or similar.

• 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

• Company subsidized Medical Coverage
• 100% Company Paid Vision and Dental Coverage
• 100% Company Paid Long Term Disability
  , Short Term Disability
  , and Group Life Insurance
• Monthly Wellness Reimbursement

• Paid Time Off with Flexible Work Schedules and Birthday Off
• Amazon Prime Membership and Monthly Internet Reimbursement
• Technology and Productivity Allowance for Equipment and Supplies
• Morale Building and Company Events to Celebrate our Successes and Build our Community
• Onboarding and Annual Swag
• Company Paid Professional Development and Training

The expected salary range for this position, depending on education and years of experience, is $150,000 – $265,000.

At Erias Ventures, we are dedicated to fostering a diverse and inclusive workplace. We are an equal opportunity employer and 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.

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