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David Careers

Senior Python Data Processing Developer

Posted today

reveal global consultingLaurel (MD)
Data Warehousing SpecialistsComputer Systems Design Services

SENIORITY

Senior

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About the role

We are seeking an experienced Senior Python Data Processing Developer to design and develop scalable data-processing solutions, implement complex business rules, and support cloud-based data workflows.
Key Responsibilities: Develop and maintain Python-based data-processing and transformation workflows. Translate business rules and technical requirements into tested, production-ready code. Implement data validation, edit checks, aggregations, calculations, and transformation logic. Develop and maintain cloud-based processing jobs using AWS services. Build and optimize complex SQL queries and PostgreSQL-based data operations. Work with large structured and semi-structured datasets using Spark, PySpark, Polars, or similar technologies. Implement data-quality checks and validate processing outputs for accuracy and completeness. Troubleshoot production data issues and optimize processing performance. Collaborate with business, data, and engineering teams to support ongoing enhancements and releases. Participate in code reviews, testing, documentation, and Agile development activities.
Required Skills:
  • 6+ years of hands-on Python development experience, with a strong focus on data processing and business-logic implementation.
  • Strong SQL and PostgreSQL experience.
  • Experience developing complex SQL using CTEs, joins, aggregations, update/merge operations, and data transformations.
  • Hands-on experience with AWS services such as:
  • AWS GlueAWS LambdaAWS Step Functions
  • Amazon S3Strong experience with Spark, PySpark, Polars, or similar large-scale data-processing frameworks.
  • Experience designing and maintaining ETL/data-processing pipelines.
  • Strong experience with data validation, reconciliation, and data-quality checks.
  • Ability to work with large datasets and optimize data-processing performance.
  • Strong debugging and problem-solving skills.
Preferred Skills: Experience working with statistical, survey, financial, or other complex business-rule-driven datasets. Experience with Pandas or other Python data-processing libraries. Experience with cloud-native and serverless application development. Familiarity with CI/CD pipelines, Git, automated testing, and Agile development practices. Experience supporting production data-processing systems.
Work Authorization / Eligibility: Due to the nature of the engagement and background investigation requirements, U.S. Citizens and Lawful Permanent Residents (Green Card holders) are required.

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