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Python Big Data Engineer

Job in Reston, Fairfax County, Virginia, 22090, USA
Listing for: Compunnel Inc.
Full Time position
Listed on 2026-11-04
Job specializations:
  • Software Development
    Data Engineering, Python, AWS
Salary/Wage Range or Industry Benchmark: 140000 - 180000 USD Yearly USD 140000.00 180000.00 YEAR
Job Description & How to Apply Below

We are seeking an experienced Python Big Data Engineer with expertise in designing, developing, and optimizing large-scale data processing solutions. The ideal candidate will have extensive experience with Python, AWS cloud services, big data technologies, and data engineering best practices to build scalable, high-performance data pipelines and analytics solutions.

Key Responsibilities
  • Design, develop, and maintain scalable big data applications using Python.
  • Build and optimize data processing pipelines using Hadoop, EMR, Spark, and Hive.
  • Develop and support cloud-native data solutions using AWS services.
  • Design and implement data ingestion, transformation, and processing workflows.
  • Develop and maintain integrations using APIs and SQL queries.
  • Perform large-scale data manipulation, transformation, analysis, and visualization.
  • Analyze large datasets to extract meaningful business insights.
  • Design, implement, and support CI/CD pipelines for automated deployment.
  • Collaborate with cross-functional teams to deliver scalable and reliable data solutions.
  • Apply analytical and problem-solving skills to identify and resolve complex technical challenges.
Required Qualifications
  • 10+ years of hands‑on Python development experience for big data applications.
  • Extensive experience implementing scalable data processing pipelines using Hadoop, Amazon EMR, Spark, and Hive.
  • 5+ years of development experience with AWS services including EMR, Lambda, Event Bridge, Step Functions, Redshift, Amazon S3, and AWS Glue.
  • 5+ years of experience developing solutions involving API integrations, SQL queries, Spark, data manipulation, data transformation, analysis, and visualization.
  • Strong experience analyzing large datasets and extracting meaningful insights.
  • Hands‑on experience implementing CI/CD pipelines using Git Lab, Terraform, or similar tools.
  • Strong analytical, critical thinking, and problem‑solving skills.
  • Ability to collaborate effectively across cross‑functional and matrixed teams.
Preferred Qualifications
  • Experience with infrastructure as code (IaC).
  • Experience optimizing large‑scale cloud‑based data engineering solutions.
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