Enterprise Data Engineer

Hoplite Solutions LLC; Herndon (VA); On-site; USD 110,000 - 150,000; Full time

Job summary

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.

Responsibilities

• 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.

Skills

Python

SQL

ETL pipelines

Data integration

Data quality

Problem solving

Teamwork

Communication

Education

Bachelor's degree in Computer Science / Data Engineering

Tools

Palantir

Airflow

Prefect

AWS

Azure

GCP

Spark

Hadoop

Job description

Hoplite Solutions is seeking detail-oriented Data Engineers to build and maintain reliable data pipelines using Python, SQL, and ETL platforms such as Palantir. This role will focus on extracting, transforming, curating, and loading structured and unstructured data from diverse sources to support business, analytics, and operational needs.

Key Responsibilities:

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.

Required 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.

Preferred Qualifications:

• Bachelor’s degree in Computer Science, Data Engineering, or a related field.
• Hands-on experience with Palantir or similar ETL platforms.
• Experience with cloud platforms such as AWS, Azure, or GCP and big data technologies such as Spark or Hadoop.
• Familiarity with data orchestration tools such as Apache Airflow, Prefect, or similar platforms.

Location:

Full-time on-site in Herndon, VA.