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Bow Wave LLC Linkedin · Posted 17d ago

Data Engineer 3 - TS clearance required - Wash DC area

Arlington

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Indexed description

Education Requirement: Bachelor's Degree

Key Responsibilities

  • Design, develop, and maintain scalable ETL pipelines for ingesting, transforming, and loading structured and unstructured datasets.
  • Analyze complex data structures and source-to-target mappings to identify opportunities for workflow optimization and automation.
  • Monitor and ensure data accuracy, consistency, and integrity across systems and platforms.
  • Implement data migration strategies to support application modernization and transitions across platforms or cloud environments.
  • Collaborate with analysts, data scientists, developers, and business partners to translate requirements into effective data engineering solutions.
  • Monitor pipeline performance, troubleshoot operational issues, and enhance reliability, scalability, and efficiency.
  • Document data flows, transformation logic, and operational procedures for maintainability and knowledge sharing.

Required Skills & Experience

  • 2+ Years Professional Experience
  • Hands-on experience with data analysis, ETL development, and data migration.
  • Proficiency in SQL, including writing complex queries, transformations, and performance tuning.
  • Familiarity with Python for data manipulation, scripting, and workflow automation.
  • Experience with ETL frameworks or orchestration tools such as Apache Airflow, Talend, dbt, or similar.
  • Understanding of data warehousing principles including dimensional modeling and staging architecture.
  • Exposure to cloud-based data platforms such as AWS Redshift, Google BigQuery, Azure SQL, or similar environments.

Preferred Qualifications

  • Experience with cloud ecosystems such as AWS, Azure, or Google Cloud Platform.
  • Knowledge of big data technologies (Hadoop, Spark, or distributed processing frameworks).
  • Exposure to data visualization tools (Power BI, Tableau, Looker) and version control systems (e.g., Git).
  • Experience designing automated data workflows or integrating workflow orchestration tools.

Core Skills & Competencies

  • ETL pipeline development & optimization
  • SQL & Python for data processing
  • Data modeling and profiling
  • Understanding of data warehousing concepts
  • Cross-functional collaboration
  • Problem-solving & root cause analysis
  • Ability to document technical processes clearly
  • Continuous improvement mindset

Salary: $90000 - $96000 per year
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