Enterprise Data Engineer,TS/SCI w/ Poly Chantilly, VA

SpatialGIS; Chantilly (VA); On-site; USD 85,000 - 110,000; Full time

Job summary

SpatialGIS is seeking a skilled Data Engineer in Chantilly, Virginia, to utilize expertise in Python and SQL for data processing and integration. Ideal candidates will possess 3+ years of data engineering experience and be proficient in ETL processes, ensuring data quality through various checks and transformations.

The role requires a TS/SCI FSP clearance and focuses on leveraging Palantir tools for data integration with a strong emphasis on collaboration with technical teams. Candidates with a bachelor’s degree in relevant fields are preferred.

Qualifications

• 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.
• Strong analytical and problem-solving skills with attention to detail.

Responsibilities

• Write robust and efficient Python and SQL scripts to automate data processing tasks.
• Integrate data from diverse sources into centralized systems.
• Implement data transformations to ensure data quality and usability.
• Maintain and improve data quality through validation and cleansing processes.

Skills

Data engineering

Python

SQL

ETL processes

Data integration

Problem-solving

Communication

Education

Bachelor’s degree in Computer Science or related field

Tools

Palantir

AWS

Azure

GCP

Apache Spark

Hadoop

Apache Airflow

Job 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.

Key Responsibilities

• 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.
• 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.

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.
• Active TS/SCI FSP is required to start. Role is FT onsite in Herndon, VA.

Preferred 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.