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Lead Data Engineer(Local to Philadelphia, PA)

Heliogic LLC
Philadelphia, PA Full Time
POSTED ON 3/25/2025
AVAILABLE BEFORE 5/25/2025

Job Details

Lead Data Engineer Location : Philadelphia, PA (Onsite) Duration : Long Term Contract

Please screen well.PYSPARK development experience is Mandatory

, 10 years of experience

Data Framework Development

We are seeking a talented and experienced Data Framework Development Technical Lead to join our growing team. In this exciting role, you will play a pivotal role in shaping the future of our data infrastructure by designing, developing, and implementing cutting-edge data frameworks. You will split your time equally between:

  • 50% Leading and Guiding:
    • Understanding the data needs and challenges faced by various development teams.
    • Designing and architecting scalable, efficient, and secure data frameworks using Python, Java, Spark, and Scala.
    • Providing clear technical guidance and mentorship to your team, fostering collaboration and knowledge sharing.
    • Conducting code reviews and ensuring adherence to best practices and coding standards.
    • Documenting processes and best practices for future reference and knowledge transfer.
  • 50% Hands-on Development:
    • Writing clean, efficient, and maintainable code for data pipelines, data processing tasks, and data quality checks.
    • Implementing unit tests and integration tests to ensure code quality and reliability.
    • Troubleshooting and resolving technical issues related to the data framework.
    • Staying abreast of the latest advancements in data engineering technologies and best practices.

To be successful in this role, you will need:

  • 5 years of experience in data engineering or a related field.
  • 2 years Framework experience
  • Proven experience in designing and developing scalable data frameworks using Python, Java, Spark, and Scala.
  • Strong leadership skills with the ability to motivate and guide a team of engineers.
  • Excellent communication and collaboration skills.
  • A passion for data engineering and a commitment to continuous learning.
  • Experience in code review and documentation is a plus.
  • Experience with cloud platforms like AWS.
  • Familiarity with data governance and security principles.
  • Experience with DevOps practices and tools.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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