Python Data Developer/Engineer

Title: Python Data Developer/Engineer Location: Charlotte, NC (3 days onsite 2 days remote)
Duration: Long Term Contract

We are seeking a highly experienced Big Data Developer to support a Financial Crimes Technology organization. This role will focus on building, enhancing, and maintaining largescale data solutions that enable critical analytics, monitoring, and riskmitigation initiatives. The ideal candidate brings deep technical expertise across modern bigdata ecosystems, strong Python development skills, and the ability to design reliable data pipelines and controls in a highly regulated environment.

Key Responsibilities:

• Develop, enhance, and maintain largescale data processing pipelines supporting financialcrimes initiatives.
• Design and implement data ingestion, transformation, and qualitycontrol frameworks.
• Build and optimize APIs for data access, integration, and system interoperability.
• Work with crossfunctional teams to understand data requirements and translate them into scalable technical solutions.
• Perform complex SQL operations, including joins, merges, transformations, and summarizations.
• Implement data control checks to ensure accuracy, completeness, and compliance.
• Contribute to architectural discussions and bestpractice development within the bigdata environment.

Required Skills:

• 5+ years of experience as a Big Data Developer or in a similar dataengineering role.
• Strong proficiency in Python, including experience with RDS.
• Handson experience with major Big Data platforms and tools, such as:
  • Linux, HDFS, Hive, Hortonworks
  • Spark, Scala, Python, Java
  • Kafka and related streaming technologies
• Experience designing and/or consuming APIs.
• Strong SQL skills and the ability to interact with large, complex datasets.
• Demonstrated experience with data processing operations (join, merge, transform, summarize, etc.).
• Ability to design and implement data control checks and validation frameworks.
• Handson experience with PySpark.