Data Engineer Senior Analyst

Overview

At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations. Join Accenture Federal Services, a technology company and part of global Accenture, to do work that matters in a collaborative and caring community, where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more.

Join us to drive positive, lasting change that moves missions and the government forward.

Job Description

As a Data Engineer at the Senior Analyst level, you will be a key contributor to the team responsible for building and maintaining the data pipelines for a data platform. This is a hands-on role where you will support the development, deployment, and operation of critical data infrastructure. You will work closely with senior engineers, applying your technical skills to execute tasks, troubleshoot issues, and learn the foundations of enterprise-scale data engineering in a mission-critical environment.

• 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.

• 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

• 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.

• Active TS or TS/SCI clearance

As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Washington, Vermont, the District of Columbia, and the city of Cleveland
. The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience. Accenture Federal Services offers a wide variety of benefits. The pay range for the states listed is:

$76,100—$136,700 USD

Accenture Federal Services is an Equal Employment Opportunity employer. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

For details, view a copy of the Accenture Federal Services Equal Opportunity Policy Statement.