Data Engineer Sr

Accenture Federal Services•Chantilly, VA

1d•$106,300 - $221,100

About The Position

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 within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer 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!

Requirements

8+ years of professional experience working as a Data Engineer or in a similar role building data centric systems
At least 4+ years of hands-on experience working with AWS cloud solutions or Java C#, or Python, Spring Boot, and Hibernate for data driven services
Hands-on experience with AWS data and messaging services (SQS, SNS)
Strong understanding of microservices, event-driven architectures, and relational databases (PostgreSQL preferred)
Proficiency with JUnit (JUnit 5 preferred) and automated testing frameworks
Experience in Agile or SAFe development environments
Comfortable working directly with customers for data requirements, demos, data onboarding, and deployment coordination

Nice To Haves

Experience with CI/CD tools: Jenkins, Maven, Git, GitLab, Jira
Experience with containerization technologies: EKS with Docker and Kubernetes
Experience building and consuming RESTful APIs; familiarity with gRPC
Experience with AWS workflow and compute services such as SWF/Step Functions and Lambda
Background in PostgreSQL schema design, optimization, and performance tuning for large datasets
Knowledge of Python or ReactJS for internal data tools, pipelines, or integrations
Experience supporting data-intensive production systems or mission critical environments
Prior technical lead experience or participation in data architecture reviews
Exposure to large-scale data processing, analytics pipelines, ETL/ELT operations, or high-volume distributed systems
Bachelor's degree in computer science, Software Engineering, or related field

Responsibilities

Design and develop data centric microservices using Python, Java, C#, Spring Boot, Hibernate, REST, and gRPC
Build scalable AWS based data services leveraging SQS, SNS, Lambda, SWF/Step Functions, and other cloud-native components
Participate in data architecture and solution design reviews, multimodule planning, and long-term data strategy
Conduct research, prototypes, and feasibility analyses for new data features, modernization, and cloud transformations
Develop, optimize, and maintain PostgreSQL-backed data services, schemas, and performance tuned queries
Build and maintain CI/CD pipelines using Jenkins, Maven, Git, and GitLab
Containerize and deploy data services to EKS using Docker and Kubernetes
Write unit, integration, and system tests using JUnit 5; support data validation, release testing, and beta cycles
Troubleshoot performance, reliability, and integration issues across distributed data systems
Collaborate with architects, PMs, and customers to refine data requirements, perform demos, coordinate installations, and ensure alignment
Document data APIs, architecture diagrams, ETL/ELT processes, deployment procedures, and runbooks
Provide technical leadership, mentoring, and knowledge sharing within the data engineering team
Participate in SAFe Agile ceremonies and contribute to continuous improvement of data practices