Data Engineer - Build Pipelines, Palantir & Cloud

Hoplite Solutions LLC; Herndon (VA); Sur place; USD 110 000 - 150 000; Plein temps

Résumé du poste

Hoplite Solutions LLC in Herndon, VA is seeking a detail-oriented Data Engineer to build and maintain reliable data pipelines using Python, SQL, and ETL platforms such as Palantir. You will extract, transform, curate, and load structured and unstructured data from diverse sources to support business analytics and daily operations.

You will develop Python and SQL scripts to automate data processing, integrate data from APIs, databases, and file systems, and help ensure data quality and

Qualifications

• 3+ years of data engineering experience.
• Strong proficiency with Python and SQL for data processing, querying, transformation, and optimization.
• Experience integrating data from APIs, relational databases, file systems, and other diverse sources.
• Experience supporting data quality, validation, cleansing, and monitoring practices.
• Strong analytical, problem-solving, communication, and teamwork skills.

Responsabilités

• Develop Python and SQL scripts to automate data processing; integrate data from databases, APIs, and file systems; implement data transformation, enrichment, and modeling workflows; optimize data structures for performance and scalability; maintain data quality through validation, cleansing, and monitoring; and provide technical support for effective use of ETL tools across teams.

Connaissances

Python

SQL

ETL pipelines

Data integration

Data quality

Problem solving

Teamwork

Communication

Formation

Bachelor's degree in Computer Science / Data Engineering

Outils

Palantir

Airflow

Prefect

AWS

Azure

GCP

Spark

Hadoop

Description du poste

Hoplite Solutions LLC in Herndon, VA is seeking a detail-oriented Data Engineer to build and maintain reliable data pipelines using Python, SQL, and ETL platforms such as Palantir. You will extract, transform, curate, and load structured and unstructured data from diverse sources to support business analytics and daily operations.

You will develop Python and SQL scripts to automate data processing, integrate data from APIs, databases, and file systems, and help ensure data quality and