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Enterprise Data Engineer with Security Clearance

Hoplite Solutions LLCHerndon, VA🇺🇸United States

Why this role stands out

This on-site Enterprise Data Engineer role at Hoplite Solutions offers a fantastic opportunity to build and maintain critical data pipelines, leveraging your Python, SQL, and ETL expertise to drive impactful analytics and operations within a reputable company. If you are a detail-oriented data professional with a knack for problem-solving and integrating diverse data sources, you will thrive in this collaborative environment. Apply today to contribute to cutting-edge data solutions and grow your career in a secure setting.

Quick overview

SeniorityMid Senior
Employment typeEmployee
Work modeOn Site
LocationHerndon, VA, United States
GCPSQLAWSETLAirflowApacheHadoopPythonAzure

Job description

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.

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