Mission-Critical Data Engineer & Senior Analyst (ETL/Cloud)

Accenture Federal Services; Virginia (MN); On-site; USD 76,000 - 137,000; Full time

Job summary

Accenture Federal Services seeks a Data Engineer Senior Analyst to build and maintain data pipelines for a mission-critical data platform. This hands-on role involves developing ETL/ELT processes, deploying data flows with IaC, and ensuring pipeline reliability.

You will work with Python/SQL, explore cloud platforms like AWS/Azure, and contribute to data quality and documentation while learning enterprise-scale data engineering in a government environment.

Qualifications

• 2+ years in a data-focused role (e.g., data engineering, backend development, database administration).
• Experience with Python and SQL for data manipulation and scripting.
• Familiarity with ETL processes and data warehousing concepts.
• Exposure to cloud environments (AWS, Azure) and data platforms like Databricks or Snowflake.
• Basic understanding of Agile/Scrum methodologies.
• US Citizenship required.

Responsibilities

• Assist in developing and maintaining ETL/ELT data pipelines using established patterns and tools.
• Use IaC scripts to deploy data flows consistently and efficiently.
• Support the O&M of existing pipelines by monitoring performance and troubleshooting issues.
• Execute data quality checks and implement data validation using frameworks like Great Expectations.
• Collaborate with senior team members to test and deploy new pipeline features and optimizations.
• Create and maintain technical documentation for data pipelines and processes.

Skills

Python

SQL

ETL/ELT

Cloud environments

Data warehousing

Agile/Scrum

US Citizenship

Tools

Databricks

Snowflake

Terraform

Airflow

Spark/PySpark

Job description

Accenture Federal Services seeks a Data Engineer Senior Analyst to build and maintain data pipelines for a mission-critical data platform. This hands-on role involves developing ETL/ELT processes, deploying data flows with IaC, and ensuring pipeline reliability.

You will work with Python/SQL, explore cloud platforms like AWS/Azure, and contribute to data quality and documentation while learning enterprise-scale data engineering in a government environment.