Cloud Engineer
San Francisco, CA 
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Posted 14 days ago
Job Description
CompanyFederal Reserve Bank of San Francisco

When you join the SF Fed, you join a team of people working together to foster an inclusive economy that works for everyone. From data-driven insights to cloud transformation, the information technology team moves the SF Fed forward. We use innovative technologies and Agile methods to positively impact every American across the communities we serve.

The Federal Reserve Bank of San Francisco is looking for a 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 + 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 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, Engineering, or related field.
  • Typically requires 2 or more years of experience
  • Proficiency in at least one programming language: Java, Python, or Scala.
  • Familiarity with AWS cloud services and tools, particularly for data processing and analytics.
  • Strong understanding of data structures, algorithms, and database concepts.
  • Experience with ETL tools, data modeling, and SQL databases.
  • Knowledge of AI and machine learning concepts and tools is a plus.
  • Experience implementing CI/CD pipelines using tools.
  • Excellent problem-solving skills and attention to detail.
  • Effective communication and collaboration abilities within a team environment.
  • Ability to work effectively independently or in a team environment.
  • Must be a U.S. Citizen or a Green Card holder with the intent to become a U.S. Citizen

Responsibilities:

  • Collaborate with customers, analysts, and other team members to understand data requirements and objectives.
  • Design, develop, and maintain data pipelines and ETL processes within AWS using Java, Python, or Scala.
  • Implement data quality checks, monitoring, and optimization techniques to ensure data accuracy, reliability, and performance.
  • Develop and maintain cloud infrastructure, including data lakes, warehouses, and analytics platforms.
  • Contribute to the design of innovative solutions using new technologies.
  • Integrate AI and Gen AI tools and frameworks into data processing workflows to enhance data insights and decision-making capabilities.
  • Implement Continuous Integration and Continuous Deployment (CI/CD) pipelines for automating build, test, and deployment processes.
  • Troubleshoot and debug data pipeline issues, ensuring smooth data flow and resolving performance bottlenecks.
  • Stay updated on emerging technologies and best practices in data engineering, AWS services, and AI tools.
  • Document technical specifications, processes, and workflows for future reference and knowledge sharing.
  • Continuous improvements with focus on quality, stability, usability, maintainability and ultimately customer satisfaction.
  • Develop and maintain cloud infrastructure, including data lakes, warehouses, and analytics platforms.
  • Contribute the design of innovative solutions using new technologies.
  • Continuous improvements with focus on quality, stability, usability, maintainability and ultimately customer satisfaction.

Base Salary Range: Min: $97,600 - Mid: $126,800 - Max: $155,900 (Location: San Francisco)
Final salary and offer will be determined by the applicant's background, experience, skills, internal equity, and alignment with market data.

We offer a wonderful benefits package including: Medical, Dental, Vision, Pre-tax Flexible Spending Account, Backup Child Care Program, Pretax Day Care Flexible Spending Account, Vacation Days, Sick Days, Paid Holidays, Pet Insurance, Matching 401(k), and a Retirement / Pension

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.

At the Federal Reserve Bank of San Francisco, we believe in the diversity of our people, ideas, and experiences and are committed to building an inclusive culture that is representative of the communities we serve.

#LI-Hybrid

Full Time / Part TimeFull time

Regular / TemporaryRegular

Job Exempt (Yes / No)Yes

Job CategoryAnalytical

Work ShiftFirst (United States of America)

The Federal Reserve Banks believe that diversity and inclusion among our employees is critical to our success as an organization, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool. The Federal Reserve Banks are committed to equal employment opportunity for employees and job applicants in compliance with applicable law and to an environment where employees are valued for their differences.


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.

 

Job Summary
Start Date
As soon as possible
Employment Term and Type
Regular, Full or Part Time
Required Education
Bachelor's Degree
Required Experience
2+ years
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