Remote Data Engineering Lead | AWS, PySpark & Pipelines

Jobgether; United States; Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

Permanent remote

Flexible hours

Part-time opportunities

Welcome Back Program

Diversity & inclusion

Career growth

Job summary

Jobgether is seeking a Data Engineering Lead in the United States to design, build, and scale cloud-native data solutions. Lead architecture, mentor teams, and collaborate with stakeholders to deliver robust data products using AWS Glue, EMR, S3, Python, and PySpark.

The role emphasizes data integration, standards, quality, and performance in a remote-first, enterprise environment with opportunities for impact and growth.

Qualifications

• Experience with AWS data engineering in enterprise environments.
• Strong Python, PySpark, SQL and ETL/ELT development skills.
• Proven ability to design and optimize large-scale data pipelines.

Responsibilities

• Lead architecture, design, and development of scalable data pipelines using AWS Glue, EMR, S3, Python, and PySpark.
• Drive enterprise data integration and ETL/ELT workflows.
• Develop reliable, scalable data products and maintain engineering standards.

Skills

AWS data engineering

Python

PySpark

SQL

ETL/ELT

Data pipelines

Data integration

Technical leadership

Mentoring

Tools

AWS Glue

Amazon EMR

S3

Redshift

Athena

DynamoDB

Iceberg

Job description

Jobgether is seeking a Data Engineering Lead in the United States to design, build, and scale cloud-native data solutions. Lead architecture, mentor teams, and collaborate with stakeholders to deliver robust data products using AWS Glue, EMR, S3, Python, and PySpark.

The role emphasizes data integration, standards, quality, and performance in a remote-first, enterprise environment with opportunities for impact and growth.