CompanyFederal Reserve Bank of San Francisco

We are the Federal Reserve Bank of San Francisco-public servants with a mission to advance the nation's monetary, financial, and payment systems to build a stronger economy for all Americans. We are a community-engaged bank, and are committed to understanding and serving the vibrant, expansive communities of the Twelfth District. That means we seek and appreciate new perspectives. We respect people for what they do and for who they are. We build opportunities to learn and grow. When you join the SF Fed, you become part of a diverse team united in its purpose to promote an economy that works for everyone.

The Federal Reserve Bank of San Francisco is looking for a Sr Cloud Data Engineer to join the Data and Analytics Service (DAS) Team. We are a team based out of San Francisco that partners with business lines across the Federal Reserve System to deliver the cloud + big data engineering, advanced analytics products, and solutions. In this role, you will have the opportunity to contribute to several high-quality data solutions and enhance your technical skills across many disciplines. We employ state of the art technologies that are part of the AWS, Hadoop ecosystem, which includes tools used for data integration, data modeling, and data analytics. You will have an opportunity to apply your critical thinking and technical skills across many disciplines.

While the SF Fed is a Reserve Bank, we're not what you might expect. We're unreserved here. That means we seek new and diverse perspectives. We spark conversations and encourage debate. We build opportunity. We pursue careers that are true to ourselves. We are looking for people who want to help our country reach its full economic potential. When you join the SF Fed, you join a team of people working together to promote an inclusive economy that works for everyone.

We empower our people to balance their life and work responsibilities. That's why we offer a flexible hybrid work model that allows you to collaborate with office colleagues on some days, and work from home on others.

Qualifications: * Bachelor's degree in computer science, Information Systems, or other related technical field or equivalent work * Typically requires 7 or more years of experience in data engineering, data science, and software engineering. * Advanced knowledge of Amazon Web Services (AWS) and cloud infrastructure * Strong programming skills in Java or Python, or Scala * Design, build, and maintain machine learning data pipelines. * Experienced in implementing AI, Data and Advanced Analytics solutions, and SaaS or related experience in the Cloud. * Experience in developing an end-to-end AWS native platform for building Data lakes (S3, Glue (Crawlers, ETL, Catalog), IAM, CodePipeline, CodeCommit, CloudFormation/Terraform, CloudTrail, CloudWatch, AWS Config, Guard Duty, Secrets Manager, KMS, EC2, Data Visualization Tool: Tableau run on an EC2 or AWS Quicksight), Athena, AWS AI (Bedrock, SageMaker, Q) * Hands on experience in Generative AI implementation and optimization (HuggingFace, GPT, NLP, LLM) * Experience in Ansible/Terraform/Cloud Formation scripts and Infrastructure as Code scripting is required. * Experience deploying code on Cloud based Infrastructure, with AWS * Experience in Continuous Integration, Continuous Delivery, and Continuous Deployment software tools to support, enhance and grow our CI and CD capabilities. * Experience in Databricks, Alteryx, Collibra etc., * Maintain security in accordance with Bank security policies. * Partner with business stakeholders to understand and meet their data... For full info follow application link.

The Federal Reserve Bank of San Francisco is an Equal Opportunity Employer. Our people reflect the diversity and the ideas of the community we serve.