Lead Data Engineer

Work set-up: 
Full Remote
Contract: 
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

Proven experience in building scalable data engineering solutions., Strong understanding of data infrastructure and architecture., Proficiency in Python programming and DevOps principles., Bachelor's degree in Computer Science, Information Technology, or related field..

Key responsibilities:

  • Lead the development of data pipelines and infrastructure.
  • Collaborate with leadership to define data engineering strategies.
  • Ensure the performance and reliability of ETL processes.
  • Maintain and improve data systems for scalability and efficiency.

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Penbrothers SME http://www.penbrothers.com/
201 - 500 Employees
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Job description

About Penbrothers

Penbrothers is an HR & remote talent management partner and one of the fastest growing companies in the Philippines. We provide talented Filipinos with global opportunities in highgrowth startups and dynamic companies, from the comfort of their own homes.

About the Client

A Massachusettsbased organization that supports school districts, municipalities and education nonprofits by providing visualization dashboards to give leaders the information they need to make datainformed decisions. They provide an open, collaborative team environment, where diverse perspectives and backgrounds are valued.

About the Role

We are seeking a Lead Data Engineer with a history of building scalable data engineering solutions and the infrastructure to support them in meeting the demands of our growing client base. In this role, you will guide our data engineering strategy, make architectural decisions, and build pipelines to extract customer data.

  • Collaborate with OA’s Director of Technology to define and implement the longterm strategy for the data engineering department.

  • Drive technology, platform, and architectural decisions to optimize ETL pipelines for performance, resilience, and transparency.

  • Develop and maintain Pythonbased data engineering solutions with a strong understanding of DevOps principles.

  • Own and manage the process of moving customer data into the company’s data warehouse.

  • Establish internal processes, standards, and guidelines to guide the department’s direction.

  • Ensure scalability, reliability, and maintainability of data engineering systems.

  • Proactively identify areas for improvement in data infrastructure and workflow efficiency.

Required profile

Experience

Level of experience: Senior (5-10 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Collaboration
  • Problem Solving

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