Data Engineer — Cloud Migration & Pipelines

Accenture Federal Services; St. Louis (MO); On-site; USD 114,700 - 221,100; Full time

Benefits offered by this job

Collaborative work environment

Ongoing training and certifications

Job summary

Accenture Federal Services is seeking a Data Engineer to create efficient data pipelines and ensure data quality, focusing on ETL processes to support migration to cloud environments. The ideal candidate will possess at least a Bachelor’s degree and 5 years of relevant experience, along with active Secret Security clearance.

This position requires collaboration within Agile frameworks, design of scalable data architectures, and advanced skills in Python, SQL, and cloud ETL services.

Qualifications

• Bachelor’s degree and at least 5 years of experience.
• Active Secret Security clearance required.
• Experience with cloud-based ETL services.

Responsibilities

• Design and develop scalable data architectures.
• Create and maintain robust data pipelines.
• Implement ETL processes to migrate data.

Skills

Data orchestration

Data quality processes

Cloud-based ETL services

Python

SQL

Spark

PySpark

Education

Bachelor’s degree

Tools

AWS Glue

Google Cloud Dataflow

Azure Data Factory

Databricks

Palantir

Snowflake

Job description

Accenture Federal Services is seeking a Data Engineer to create efficient data pipelines and ensure data quality, focusing on ETL processes to support migration to cloud environments. The ideal candidate will possess at least a Bachelor’s degree and 5 years of relevant experience, along with active Secret Security clearance.

This position requires collaboration within Agile frameworks, design of scalable data architectures, and advanced skills in Python, SQL, and cloud ETL services.