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Data Engineer Python (4254)

SMX

$86,000 - $143,200
Apr 15, 2025
Washington, DC, US
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The company is seeking a Data Engineer to design and implement robust and efficient data pipelines, ensuring high data quality and contributing to the continuous improvement of data management practices.

Requirements

  • Proficiency in Python, including strong understanding of Python programming language and experience with Python libraries and frameworks like Pandas, NumPy, and Django
  • Expertise in Apache Airflow, including experience in designing, building, and maintaining data pipelines and knowledge of Airflow's architecture, including DAGs and Operators
  • Proficiency in data extraction, transformation, and loading processes
  • Strong understanding of SQL and NoSQL databases and proficiency in writing complex queries and applying database optimization techniques
  • Experience with data warehousing solutions like Amazon Redshift, Google BigQuery, or Microsoft Azure SQL Data Warehouse
  • Knowledge of data modeling and data warehousing (desired)
  • Experience with data extraction from various sources, data transformation (cleaning, validating, aggregating, joining, etc.), and loading data into databases or data warehouses

Responsibilities

  • Design, develop, and maintain ETL processes using Python and Apache Airflow
  • Develop and implement data validation processes to ensure high data quality
  • Troubleshoot and resolve issues related to data pipelines
  • Optimize data extraction, transformation, and loading (ETL) processes to improve efficiency and performance
  • Document and maintain the design and details of data processes and schemas
  • Stay updated with the latest industry trends and technologies to ensure data practices remain current
  • Collaborate with data analysts and other stakeholders to understand and meet their data requirements

Other

  • Strong communication and collaboration skills
  • Excellent problem-solving skills
  • US Citizenship is required to obtain a federal clearance