Remote Data Engineering Lead - AWS, PySpark & Pipelines

Jobgether; United States; Remote; USD 150,000 - 180,000; Full time

Job summary

Jobgether is seeking a Data Engineering Lead to drive cloud-based data transformation using AWS native services. You will shape data architecture and set engineering standards for enterprise platforms.

You will lead development of data pipelines with AWS Glue, EMR, S3, Python and PySpark, while optimizing performance, quality and scalability. This role offers a remote-first, flexible schedule and opportunities for professional growth.

Qualifications

• Strong experience in AWS data engineering, Python, PySpark, SQL, and ETL/ELT.
• Proven technical leadership and mentoring skills in complex enterprise environments.
• Permanent remote working model with flexible hours.
• Inclusive, diverse environment and professional growth opportunities.

Responsibilities

• Drive the design and delivery of scalable cloud-based data solutions using AWS native services.
• Shape data architecture and establish engineering standards for enterprise platforms.
• Lead the development of data pipelines with AWS Glue, EMR, S3, Python, and PySpark.
• Optimize performance, data quality, and scalability while conducting code reviews.

Skills

AWS data engineering

Python

PySpark

SQL

ETL/ELT

Tools

AWS Glue

EMR

S3

Job description

Jobgether is seeking a Data Engineering Lead to drive cloud-based data transformation using AWS native services. You will shape data architecture and set engineering standards for enterprise platforms.

You will lead development of data pipelines with AWS Glue, EMR, S3, Python and PySpark, while optimizing performance, quality and scalability. This role offers a remote-first, flexible schedule and opportunities for professional growth.