Data Engineer / Charlotte / Python / Spark

Charlotte, North Carolina

Hybrid

Full Time

$165k - $200k

We are seeking a talented Data Engineer to join our financial company, which develops a cutting-edge software product for financial advisors. In this role, you will be responsible for designing, developing, and maintaining data pipelines to support our innovative financial software. The ideal candidate will have experience with Python, Apache Spark, and AWS, and will work onsite in Kennett Square. You will collaborate with cross-functional teams to understand data requirements, optimize data workflows, and ensure seamless data flow. If you have a passion for leveraging data to drive business insights and want to contribute to the success of financial advisors, we would love to hear from you.

Required Skills and Experience:

  • Proficiency in Python programming.
  • Experience with Apache Spark for big data processing.
  • Familiarity with AWS cloud services.
  • Strong understanding of database concepts and SQL.
  • Excellent problem-solving skills and attention to detail.
  • Ability to work both independently and collaboratively.

What You Will be Doing:

  • Designing, developing, and maintaining data pipelines.
  • Writing and optimizing Python and Spark code for data processing and analysis.
  • Implementing and managing AWS-based data infrastructure.
  • Troubleshooting and resolving data-related issues to ensure seamless data flow.
  • Collaborating with cross-functional teams to understand and meet data requirements.
  • Documenting data workflows, processes, and technical specifications.

The Offer:

  • Full-time position based in Charlotte, requiring onsite presence.
  • Competitive salary commensurate with experience.
  • Comprehensive benefits package including health insurance, retirement plans, and paid time off.
  • Opportunity to work with advanced technologies in a dynamic and collaborative environment.
  • Professional development opportunities to enhance skills and advance career growth.

Posted by: Kate Cascaden

Specialization: Data Engineering