Senior Data Engineer - Remote (AWS, Airflow, Redshift)

GlobalLogic; San Antonio (TX); Remote; USD 120,000 - 130,000; Full time

Benefits offered by this job

Exciting projects

Collaborative environment

Work-life balance

Professional development

Benefits package

Job summary

GlobalLogic is seeking a Senior Data Engineer to join the client data platform in Austin, TX. This remote role focuses on building robust data pipelines and analytics, collaborating with cross-functional teams to drive data-driven decision making.

Ideal candidates will have hands-on AWS skills, Python development, and experience in a scaled Agile environment, delivering end-to-end data solutions as an individual contributor within a dynamic team.

Qualifications

• Hands-on data engineering with AWS for end-to-end data analysis and pipelines.
• Collaborative, solution-driven, able to solicit diverse opinions.
• Experience operating in scaled Agile environments.
• Team-oriented contributor in a collaborative setting.

Responsibilities

• Data engineer with hands-on AWS experience for end-to-end data analysis and pipeline building (Python, Glue, S3, Airflow, Redshift, RDS, etc).
• Contributes to solutions, solicits diverse opinions, and collaborates across teams.
• Operates effectively in a scaled Agile environment.
• Works in a team as an individual contributor.

Skills

Collaboration

Agile (Scaled)

End-to-end data analysis

Tools

AWS

Python

Glue

S3

Airflow

Redshift

RDS

Job description

GlobalLogic is seeking a Senior Data Engineer to join the client data platform in Austin, TX. This remote role focuses on building robust data pipelines and analytics, collaborating with cross-functional teams to drive data-driven decision making.

Ideal candidates will have hands-on AWS skills, Python development, and experience in a scaled Agile environment, delivering end-to-end data solutions as an individual contributor within a dynamic team.