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Accenture Federal Services • Washington, District of Columbia, United States
Salary: $69,200 - $100,000 / year
Role & seniority: Automation Testing Engineer (mid-level to senior-level, with emphasis on data/testing automation)
Stack/tools: Python, SQL, Databricks, PySpark, Delta Lake, CI/CD pipelines; data pipelines, ETL/ELT, Data Lakehouse; BI platforms (Tableau, QuickSight, Power BI) as applicable
Design, implement, and execute automated test solutions for a modern data platform; build scalable test frameworks
Validate data transformations and data quality in Delta Lake tables; verify ingestion, transformation, and consumption layers
Collaborate with Data Engineers, Architects, QA Analysts, and Business Analysts; monitor production pipelines; participate in defect triage and root-cause analysis; document test strategies, cases, results, and defects
Strong Python and SQL experience; proficiency with Databricks and PySpark
Experience validating data pipelines, ETL/ELT processes, and Data Lakehouse transformations
Ability to validate schema changes, ensure data integrity, and maintain audit/compliance documentation
US citizenship; Bachelor's degree with 1 year of relevant experience or 5 years of relevant experience
Experience building scalable automated test frameworks; ability to design/implement automated test solutions for complex data transformations
Knowledge of data quality issues and root-cause analysis
Experience with BI platforms (Tableau, QuickSight, Power BI)
Locatio
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! As an Automation Testing Engineer, you will be responsible for designing, implementing, and executing automated test solutions across a modern data platform. Your role will involve working closely with tools such as Databricks, PySpark, Delta Lake, and CI/CD pipelines to ensure the accuracy and reliability of complex data pipelines, analytics systems, and BI reporting solutions. You will play a crucial part in building scalable automated test frameworks, validating data transformations, and proactively identifying data quality issues within distributed systems and enterprise data workflows. Collaboration with Data Engineers, Architects, QA Analysts, and Business Analysts will be essential to define test cases based on business logic and data requirements. To excel in this role, you should have strong experience with Python, SQL, and data platforms. Exposure to building comprehensive test coverage using Python, SQL, and PySpark for validating data pipelines, ETL/ELT processes, and Data Lakehouse transformations will be beneficial. Additionally, experience in developing and executing automated test plans for data ingestion, transformation, and consumption layers will help you succeed in this position. You will also need to have the ability to validate data transformations within Delta Lake tables, ensuring schema changes and data integrity are handled appropriately. Monitoring production pipelines, participating in defect triage, root cause analysis, and resolution of data quality issues will be part of your responsibilities. Documenting test strategies, test cases, test results, defect logs, and maintaining trace for audit and compliance purposes will also be crucial in this role.