Enterprise Data Engineer with Security Clearance

Hoplite Solutions LLC; Herndon (VA); On-site; USD 120,000 - 160,000; Full time

Job summary

Hoplite Solutions LLC in Herndon, VA is seeking skilled Data Engineers to design and implement data pipelines with Python and SQL, spanning structured and unstructured data. You will work with Palantir or similar ETL platforms to extract, transform, and load data from diverse sources and ensure data quality and usability.

The role requires 3+ years of data engineering experience, strong scripting skills, and the ability to collaborate across technical and business teams.

Qualifications

• 3+ years of experience in data engineering.
• Strong proficiency in Python scripting.
• Expertise in SQL for data querying and transformation.
• Experience integrating data from APIs, databases, and file systems.
• Strong analytical and problem-solving skills with attention to detail.
• Excellent communication and teamwork skills across technical and business teams.

Responsibilities

• Write robust Python and SQL scripts to automate data processing tasks.
• Integrate data from diverse sources into centralized systems.
• Implement data transformations, enrichment, and modeling workflows.
• Ensure data structures are optimized for performance and scalability.
• Provide technical guidance for Palantir tools across teams.
• Implement data quality checks, validation, and monitoring.

Skills

Data engineering experience

Python

SQL

Analytical thinking

Communication & teamwork

Education

Bachelor's degree in Computer Science / Data Engineering

Tools

Palantir

Cloud platforms (AWS/GCP/Azure)

Airflow / Prefect

Job description

Job Description Hoplite Solutions is 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.
• 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.

Active TS/SCI FSP is required to start. Role is FT on-site in Herndon, VA.

Required Skills 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 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.