Lead Data Engineer — Remote, Flexible, Impactful Pipelines

Jobgether; United States; Remote; USD 140,000 - 210,000; Full time

Benefits offered by this job

Permanent remote work

Flexible work arrangements

Back to work program

Inclusive environment

Opportunity to grow professionally

Job summary

Jobgether is seeking a Data Engineering Lead to oversee delivery and guide development of enterprise-grade data solutions. You will architect and build scalable pipelines using AWS Glue, EMR, S3, Python and PySpark.

You will drive ETL/ELT programs, ensure quality through design and code reviews, mentor data engineers, and align initiatives with business goals across architecture, technology and analytics teams.

Qualifications

• Strong background in AWS data engineering with hands-on experience
• Proven ability to lead data engineering teams and set standards
• Experience designing and optimizing large-scale data pipelines
• Familiarity with enterprise data integration environments and reviews

Responsibilities

• Lead the architecture, design, and development of scalable data pipelines using AWS Glue, EMR, S3, Python, and PySpark.
• Drive enterprise data integration initiatives and ETL/ELT workflow implementations.
• Develop reliable, scalable data products and maintain engineering standards and best practices.
• Conduct technical design and code reviews to ensure quality and consistency across projects.
• Optimize data pipelines for performance, quality, processing efficiency, and scalability.
• Mentor Data Engineers and guide their technical development and delivery.
• Collaborate with architecture, technology, and business teams to align solutions with enterprise objectives.

Skills

AWS data engineering

Technical leadership

Python

PySpark

SQL

ETL/ELT development

Tools

Amazon S3

AWS Glue

Amazon EMR

PySpark

Job description

Jobgether is seeking a Data Engineering Lead to oversee delivery and guide development of enterprise-grade data solutions. You will architect and build scalable pipelines using AWS Glue, EMR, S3, Python and PySpark.

You will drive ETL/ELT programs, ensure quality through design and code reviews, mentor data engineers, and align initiatives with business goals across architecture, technology and analytics teams.