Sr. Cloud Data Engineer

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! As a Sr. Cloud Data Engineer, you’ll work with team members to build, deploy, and operate data pipelines and data engineering components to enable data brokering and exchange capabilities across a diverse range of producers and consumers. Responsibilities: In this role, you will be responsible for building robust, scalable data pipelines while working collaboratively with cross-functional teams to ensure seamless integration, optimized performance, and efficient delivery of solutions. Work with team members to operationalize data pipelines and supporting cloud infrastructure Collaborate with external data producers and consumers to obtain and provide data through interfaces such as REST APIs and S3 Provide day-to-day support of deploying Python-native data pipelines and performing data engineering tasks to enable data brokering and exchange capabilities Provide Tier 2/3 troubleshooting and incident resolution support for data pipelines in Production What you’ll need to succeed : 4 years of proven experience in data engineering, with expertise in designing, developing, and maintaining data ingestion, transformation, and loading pipelines and components Demonstrated experience in designing and deploying data pipelines leveraging AWS cloud infrastructure across multiple classification domains (e.g., IL5 to IL6+) Experience with Infrastructure-as-Code (IaC) tools, including Terraform, CloudFormation, or Ansible, to automate deployment of data pipeline cloud infrastructure Understanding of RMF security principles and hands-on experience implementing security controls for data pipelines in cloud environments Strong scripting and programming skills in languages such as Go, Python, and Bash Experience with data pipeline tools and technologies such as Nifi, Hadoop, HDFS, and Kafka. Nice to have: Experience implementing data pipelines in the Cloudera Data Platform environment is highly preferred. Strong communication skills, with the ability to clearly convey complex technical concepts Clearance: An active TS/SCI with polygraph is required #clearancejobs #LI-DataAI 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. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply. The pay range for 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 is: $137,300 $165,100 USD What We Believe As a company wholly dedicated to serving the US federal govern ... (truncated, view full listing at source)