Senior Software Engineer

Accenture Federal Services • Tampa, FL

6h

About The Position

Seeking an experienced Senior Software Engineer with strong expertise in data engineering and pipeline development to support a range of government programs in a secure environment. This role focuses on designing, building, and optimizing data pipelines and software systems that enable advanced analytics, machine learning, and mission-critical decision support.
The position requires deep technical proficiency, leadership in software and data architecture, and the ability to operate effectively within classified programs.

Requirements

• Bachelor’s degree in computer science, software engineering, data engineering, data science or a related technical field.
• 8 years of experience in software engineering
• Experience with data pipeline or data engineering development
• Proficiency in programming languages such as any of these: Python, JavaScript, TypeScript, Java, Kotlin.
• Strong experience with data processing frameworks such as, but not limited to: Apache Spark, Kafka, Airflow, Prefect, or NiFi
• Expertise in building and maintaining ETL/ELT pipelines and integrating with relational and non-relational databases (Postgres, MySQL, or MongoDB).
• Experience with DevOps tools (Git, Gitlab, Docker, Kubernetes) and cloud platforms (AWS, Azure, or GCP).
• Solid understanding of distributed systems, data architecture, and API development.
• Proven ability to work in secure, mission-driven environments with strict data handling protocols.
• Must have an active TS/SCI federal security clearance

Nice To Haves

• Master’s degree in computer science, software engineering, data engineering, data science or a related technical field.
• Experience supporting federal programs
• Familiarity with data lake and data warehouse technologies such as: Snowflake, Redshift, and/or BigQuery
• Knowledge of machine learning model deployment and MLOps practices
• Strong leadership, communication, and documentation skills.

Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL processes to support analytics and operational systems.
• Architect and implement software solutions that integrate data ingestion, transformation, and storage across multiple secure environments.
• Collaborate with data scientists, analysts, and system engineers to operationalize data models and analytical tools.
• Develop APIs, microservices, and backend systems to support real-time and batch data processing.
• Optimize data workflows for performance, reliability, and security in compliance with government standards.
• Implement DevOps and DataOps practices, including CI/CD pipelines, containerization, and automated testing.
• Lead code reviews, mentor junior engineers, and contribute to technical design discussions.
• Ensure adherence to cybersecurity, data governance, and information assurance requirements in all development activities.
• Troubleshoot and resolve complex software and data integration issues across distributed systems.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level