Associate Data Engineer: Build Data Pipelines & ETL

Capgemini; Nashville (TN); On-site; USD 54,000 - 100,000; Full time

Benefits offered by this job

Paid time off

Health insurance

Retirement plan

Life insurance

Employee assistance

Job summary

Capgemini in Nashville, TN is seeking an Associate Data Engineer to design, develop, and support data integration solutions, including ETL/ELT processes, data pipelines, and data quality controls.

You will work under guidance within Agile delivery teams alongside solution architects, business analysts, and senior data engineers, performing testing, UAT support, and ongoing optimization.

Qualifications

• 2 years of experience in data engineering, software development, analytics, or a related technical role.
• Proficient SQL development and query optimization.
• Basic Python programming and scripting.
• Strong understanding of relational databases and ETL/ELT concepts.
• Knowledge of data warehousing concepts and data quality practices.
• Familiarity with Agile methodologies.

Responsibilities

• Develop and maintain ETL/ELT jobs, workflows, and data pipelines.
• Perform data extraction, transformation, and loading from multiple source systems.
• Create and run unit tests, integration tests, and data validation scripts.
• Support UAT and assist with issue resolution.
• Monitor data pipelines and troubleshoot data processing issues.
• Collaborate in Agile delivery teams with solution architects, analysts, and engineers.
• Support cloud migration and modernization initiatives.
• Build SQL queries, stored procedures, and scripts for reporting and analytics.

Skills

SQL development

Python basics

Relational databases

ETL/ELT concepts

Data quality

Agile methodologies

Education

Bachelor’s degree in Computer Science or related discipline

Tools

Snowflake

Azure Synapse

Databricks

BigQuery

Airflow

Data Factory

Informatica

SSIS

Spark

Kafka

DevOps

DataOps

Job description

Capgemini in Nashville, TN is seeking an Associate Data Engineer to design, develop, and support data integration solutions, including ETL/ELT processes, data pipelines, and data quality controls.

You will work under guidance within Agile delivery teams alongside solution architects, business analysts, and senior data engineers, performing testing, UAT support, and ongoing optimization.