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Erias Ventures

Chantilly / Global

Data Engineer

Job Description

Chantilly, VA

Erias Ventures was founded to serve its customers with an entrepreneurial mindset. We valuecreative problem-solving,open communication, andempowering 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 atechnicallystrong andgrowth-oriented company focused on bringinginnovative solutions to the difficult mission problems facing our customers.

Description

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.

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

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.

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% RothorTraditional 401kwith Immediate Vesting and Deposit

Spot Bonusesfor Assisting with Business Development and Company Growth

Professional Development Bonusesfor Certificates and Degrees

Health Benefits:

Company subsidizedMedicalCoverage

100%Company PaidVisionandDentalCoverage

100%Company PaidLong Term Disability,Short Term Disability, andGroup Life Insurance

MonthlyWellness Reimbursement

Happiness Benefits:

Paid Time OffwithFlexible WorkSchedules andBirthday Off

Amazon Prime MembershipandMonthlyInternetReimbursement

TechnologyandProductivity Allowancefor Equipment and Supplies

Morale BuildingandCompany Eventsto Celebrate our Successes and Build our Community

Onboarding and AnnualSwag

Company Paid Professional DevelopmentandTraining

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.

To learn more about our company visit ourwebpage orLinkedIn .

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