Data Engineer (TS/SCI) – Palantir, Python/SQL, Onsite VA

SpatialGIS

Chantilly (VA)

On-site

USD 85,000 - 110,000

Full time

14 days+

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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

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.

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