Data Engineer

Malvern, PA - USA

Monthly Salary: Not Disclosed

Posted on: 6 hours ago

Vacancies: 1 Vacancy

Job Summary

ONLY C2C

Maximum Pay Rate

USD 65.00

JOB#121927

Data Engineer

Vanguard Group

Worksite Address (Hybrid) 3days onsite)

1001 Cedar Hollow Road

Malvern Pennsylvania 19355

Job Description

Overview

We are seeking a highly experienced Data Engineer with 5 years of experience. This role is critical to hitting product rollout deadlines as the teams work is a hard direct dependency for other product feature rollouts. The ideal candidate will be a hands-on developer with deep expertise in the AWS data stack focusing primarily on data engineering and pipeline development.

Key Responsibilities

Develop and Implement Data Pipelines: Design build and maintain robust data pipelines primarily using AWS Glue and PySpark.

Data Sourcing and Transformation: Source data from various systems including Redshift and Aurora performing necessary streaming transformations and heavy data cleaning.

Data Delivery: Push resulting cleaned datasets into S3 buckets.

External Integration: Manage the secure transfer of resulting files via SFTP to an external 3rd party companys server adhering to non-negotiable external integration deadlines.

Collaboration: Work closely with the team to consult on the best and most efficient solutions for achieving required data outputs given the constraints of the AWS Glue/PySpark environment.

Required Qualifications and Skills

AWS Data Stack: Heavy expertise in the AWS ecosystem specifically AWS Glue.

PySpark Expertise: Hands-on experience working with PySpark on complex application implementations is required.

Database Knowledge: Heavy knowledge of both relational (e.g. Redshift Aurora) and non-SQL databases and how to leverage them within the AWS Glue/PySpark environment.

Experience Level: Looking for experienced engineers with .

Data Engineering Fundamentals: Strong general knowledge of how to efficiently get transform and push out data.

Job Responsibilities

Key Responsibilities

Develop and Implement Data Pipelines: Design build and maintain robust data pipelines primarily using AWS Glue and PySpark.

Data Sourcing and Transformation: Source data from various systems including Redshift and Aurora performing necessary streaming transformations and heavy data cleaning.

Data Delivery: Push resulting cleaned datasets into S3 buckets.

External Integration: Manage the secure transfer of resulting files via SFTP to an external 3rd party companys server adhering to non-negotiable external integration deadlines.

Collaboration: Work closely with the team to consult on the best and most efficient solutions for achieving required data outputs given the constraints of the AWS Glue/PySpark environment.

Industry

Banking Financial Services & InsuranceEstimated Start Date

2/3/2026

Estimated End Date

8/7/2026

ONLY C2C Maximum Pay Rate USD 65.00 JOB#121927 Data Engineer Vanguard Group Worksite Address (Hybrid) 3days onsite) 1001 Cedar Hollow Road Malvern Pennsylvania 19355 Job Description Overview We are seeking a highly experienced Data Engineer with 5 years ...

ONLY C2C

Maximum Pay Rate

USD 65.00

JOB#121927

Data Engineer

Vanguard Group

Worksite Address (Hybrid) 3days onsite)

1001 Cedar Hollow Road

Malvern Pennsylvania 19355

Job Description

Overview

Key Responsibilities

Develop and Implement Data Pipelines: Design build and maintain robust data pipelines primarily using AWS Glue and PySpark.

Data Sourcing and Transformation: Source data from various systems including Redshift and Aurora performing necessary streaming transformations and heavy data cleaning.

Data Delivery: Push resulting cleaned datasets into S3 buckets.

External Integration: Manage the secure transfer of resulting files via SFTP to an external 3rd party companys server adhering to non-negotiable external integration deadlines.

Collaboration: Work closely with the team to consult on the best and most efficient solutions for achieving required data outputs given the constraints of the AWS Glue/PySpark environment.

Required Qualifications and Skills

AWS Data Stack: Heavy expertise in the AWS ecosystem specifically AWS Glue.

PySpark Expertise: Hands-on experience working with PySpark on complex application implementations is required.

Database Knowledge: Heavy knowledge of both relational (e.g. Redshift Aurora) and non-SQL databases and how to leverage them within the AWS Glue/PySpark environment.

Experience Level: Looking for experienced engineers with .

Data Engineering Fundamentals: Strong general knowledge of how to efficiently get transform and push out data.

Job Responsibilities

Key Responsibilities

Develop and Implement Data Pipelines: Design build and maintain robust data pipelines primarily using AWS Glue and PySpark.

Data Sourcing and Transformation: Source data from various systems including Redshift and Aurora performing necessary streaming transformations and heavy data cleaning.

Data Delivery: Push resulting cleaned datasets into S3 buckets.

External Integration: Manage the secure transfer of resulting files via SFTP to an external 3rd party companys server adhering to non-negotiable external integration deadlines.

Collaboration: Work closely with the team to consult on the best and most efficient solutions for achieving required data outputs given the constraints of the AWS Glue/PySpark environment.

Industry

Banking Financial Services & InsuranceEstimated Start Date

2/3/2026

Estimated End Date

8/7/2026