CADRE Data/Software Engineer

Company

Federal Reserve Bank of Kansas City

When you join the Federal Reserve—the nation's central bank—you’ll play a key role, collaborating with leading professionals to strengthen and protect our economic, financial and payments systems.

We invest in contemporary and emerging technology each year to support the Federal Reserve and our economy, and we’re building a dynamic and diverse team for our future.

As an embedded IT group, the Center for the Advancement of Data and Research in Economics (CADRE) supports data or computationally intensive research and analytics for staff in the Economic Research division of the Federal Reserve Bank of Kansas City and across the Federal Reserve System.

Our technology services include multiple high performance computing environments, research data warehousing and curating services, and endpoint support.

We are committed to personal development, training, and research. 

 

The Federal Reserve System is modernizing its data infrastructure through initiatives like the Common Data Platform (CDP)—a cloud-based, end-to-end data management platform.

We seek a Data/Software Engineer to design, build, and maintain scalable, secure, and efficient data pipelines that transform raw data into trusted, actionable insights across Federal Reserve business lines, including supervision, regulation, payments systems, and economic research. 

 

Successful candidate will be a team-oriented Data/Software Engineer with a strong understanding of the end-to-end process of delivering software using Agile/DevOps methodologies and have expertise in more than one of the technologies listed below.   

 

Key Activities 


* Collects, cleanses, analyzes, and validates data prior to it being stored in application databases for final use by the organization and/or its clients.

Constructs and applies standard statistical analysis and/or models to verify data acceptability/accuracy. 



* Configures, operates, and develops manual and/or automated methods, processes, and procedures to test output or input based on data compliance, quality and use requirements as established by product management, client specifications, and governance programs. 



* Ensures data integrity by implementing quality assurance practices.

Plans, designs, develops, and performs quality assessments on data elements and structures to document and evaluate integrity, completeness, quality, and appropriateness of formats, records, and structures.

Gathers and enters missing data and resolves any anomalies. 



* Performs regular and ad hoc reviews, audits, and investigations of data activity and integrity; prepares reports and summaries of findings. 



* Produces, updates and implements guidelines and documentation of policies, processes, procedures, and standards. 



* Identifies areas of improvement in data collection processes or systems and make recommendations to correct any deficiencies. 



* Works on Extrac...