Data Engineer

Company

Federal Reserve Bank of St. Louis When you join the Federal Reserve—the nation's central bank—you'll play a key role, collaborating with leading tech professionals to strengthen and protect our economic, financial and payments systems. We dedicate more than $1 billion to technology each year to support the Federal Reserve and our economy, and we're building a dynamic and diverse team for our future. Overview We are looking for a Data Engineer for a cutting-edge cloud-based big data analytics platform. You will report to a manager and be a part of an agile cloud engineering team responsible for to developing complex cloud native data processing capabilities as part of an AWS-based data analytics platform. You also will work with data scientists, as users of the platform, to analyze and visualize data and develop machine learning/AI models.

Responsibilities

• Develop, enhance, and troubleshoot complex data engineering, data Visualization and data integration capabilities using python, R, lambda, Glue, Redshift, EMR, QuickSight, SageMaker and related AWS data processing, Visualization services.
• Collaborate with other software developers, database architects, data analysts and data scientists on projects to ensure data delivery and align data processing architecture and services across multiple ongoing projects.
• Perform other team contribution tasks such as peer code reviews, database defect support, Security enhancement support, Vulnerability management and occasional backup production support.
• Work with the DevOps team to build and release software, ensuring the process follows appropriate change management guidelines.

Qualifications

• Bachelor's degree with a major or specialized courses in Information Technology or commensurate experience
• 3+ years related experience with a combination of the following:
  • Experience designing and building data processing pipelines and streaming.
  • Experience with big data and common tools (Hadoop, Spark, etc.)
  • Experience with relational SQL databases, especially Redshift
  • Experience with UNIX / Linux operating systems is preferred.
  • Experience with IAC tools like Terraform, Ansible, CDK is preferred.
  • Experience with Containerization services like EKS, ECR is preferred.
  • Experience with AWS cloud services: EC2, S3, RDS, Redshift, Glue, Lambda, Step Functions, SageMaker, QuickSight
• US Citizen

Total Rewards

Bring your passion and expertise, and we'll provide the opportunities that will challenge you and propel your growth—along with a wide range of benefits and perks that support your health, wealth, and life.

Salary: $102,000 - $113,000

In addition to competitive compensation, we offer a comprehensive benefits package that all brought together in a flexible work environment where you can truly find balance:

• Generous paid time off
• Tuition & Training assistance/reimbursement
• 401(k) match & Annuity/Pension fund
• Top-notch health care benefits
• Child and family care leave
• Professional development opportunities
• And more...

At the Federal Reserve Bank of St. Louis, we believe the Federal Reserve most effectively serves the American public by building a more diverse and inclusive economy. Our commitment to diversity and inclusion, at all levels of the organization, has been one of our core values for many years and remains strong as we continue enhancing our efforts. Learn more about Bank’s culture .

The Federal Reserve Bank of St Louis is an Equal Opportunity Employer.

#LI-Hybrid

 

Full Time / Part Time

Full time

Regular / Temporary

Regular

Job Exempt (Yes / No)

Yes

Job Category

Information Technology

Work Shift

First (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.