Accenture Federal Services is seeking to enhance its data capabilities to support the US federal government's missions, particularly in healthcare and supply chain logistics, by designing, developing, and optimizing robust and scalable data pipelines and infrastructure.
Requirements
- Experience with SQL, data modeling, and building ETL pipelines.
- Knowledge of data management fundamentals and data storage principles.
- Experience in coding and automating processes.
- Cloud Data Services experience through certification, education, or hands-on experience
- Demonstrated experience with CI/CD practices for data pipelines and infrastructure as code (IaC).
- Familiarity with data visualization tools (e.g., Tableau, PowerBI) and their integration with data platforms.
- Experience with data orchestration tools (e.g., Apache Airflow, Prefect).
Responsibilities
- Lead, mentor, and guide a team of data engineers in best practices for data pipeline development, data modeling, and infrastructure management. Provide technical oversight and ensure adherence to architectural standards.
- Drive the design and implementation of highly scalable, reliable, and efficient data architectures, including data lakes, data warehouses, and streaming platforms. Define technical roadmaps and strategies for data engineering initiatives.
- Design, develop, and maintain complex ETL/ELT processes and data pipelines using modern data engineering tools and frameworks (e.g., Apache Spark, Kafka, Airflow). Ensure data ingestion, transformation, and loading processes are optimized for performance and reliability.
- Establish and enforce data governance policies, data quality standards, and data security protocols. Implement robust monitoring and alerting for data pipelines and data quality issues.
- Leverage expertise in cloud-based data platforms (e.g., AWS, Azure, GCP) to design and implement cloud-native data solutions, optimizing for cost, performance, and scalability.
- Collaborate closely with product owners, data scientists, data analysts, and other engineering teams to translate business requirements into technical specifications and deliver data solutions that align with strategic objectives. Act as a primary interface with customers, business stakeholders, and cross-functional teams to gather requirements, provide updates, and ensure alignment on data initiatives.
- Identify and resolve complex data-related performance bottlenecks and architectural challenges. Implement strategies for query optimization and data storage efficiency.
Other
- 100% remote.
- Experience in the healthcare or supply chain logistics industry, particularly with large-scale enterprise data.
- Currently working with the Veterans Administration (VA) or other federal agencies.
- Active Public Trust clearance.
- Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.
