Accenture Federal Services
Posted 108 days agoVerified live 2d ago
Data Engineer Senior Analyst
Brief overview
Arlington, VAIn-person
$76k–$137k/yrStated range
2+ yrsMinimum
Clearance requiredU.S. government
Job description
Summary
Accenture Federal Services is dedicated to helping the US federal government enhance national strength and safety. The Data Engineer Senior Analyst will be a key contributor to the team responsible for building and maintaining data pipelines, supporting the development and operation of critical data infrastructure.
Responsibilities
- Assist in the development and maintenance of ETL/ELT data pipelines using established patterns and tools
- Utilize reusable pipeline templates and Infrastructure-as-Code (IaC) scripts to deploy data flows consistently and efficiently
- Support the O&M of existing pipelines by monitoring performance, troubleshooting failures, and responding to alerts
- Execute data quality checks and assist in the implementation of data validation rules using frameworks like Great Expectations
- Work with senior team members to test and deploy new pipeline features and optimizations
- Contribute to the creation and maintenance of technical documentation for data pipelines and processes
Skills
- 2+ years of experience 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 data engineering concepts, including ETL processes and data warehousing
- Exposure to cloud environments (e.g., AWS, Azure) and data platforms like Databricks or Snowflake
- Basic understanding of Agile/Scrum methodologies
- A strong desire to learn and grow in the data engineering field
- US Citizenship
- Active TS or TS/SCI clearance
- Experience with Spark/PySpark
- Familiarity with Infrastructure-as-Code tools like Terraform
- Exposure to data orchestration tools (e.g., Airflow) or CI/CD pipelines
- Experience working in a DoD or government environment
Qualifications
Must Haves
- 2+ years of experience 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 data engineering concepts, including ETL processes and data warehousing
- Exposure to cloud environments (e.g., AWS, Azure) and data platforms like Databricks or Snowflake
- Basic understanding of Agile/Scrum methodologies
- A strong desire to learn and grow in the data engineering field
- US Citizenship
- Active TS or TS/SCI clearance
Nice to Haves
- Experience with Spark/PySpark
- Familiarity with Infrastructure-as-Code tools like Terraform
- Exposure to data orchestration tools (e.g., Airflow) or CI/CD pipelines
- Experience working in a DoD or government environment