Senior Data & Software Engineer - Data Platforms & ETL

Federal Reserve Bank of Kansas City; Minneapolis (MN); On-site; USD 114,000 - 182,000; Full time

Job summary

The Federal Reserve Bank of Kansas City seeks a Data/Software Engineer to design, build, and maintain scalable data pipelines and analytics solutions. You will collaborate with CADRE and staff across the Economic Research division in a DevOps/Agile environment, delivering trusted data for multiple lines of business.

You will contribute to data warehousing, ETL, and dashboards using Tableau and modern data tools, while ensuring data quality and governance.

Qualifications

• Bachelor's degree in STEM or related field.
• Extensive SQL on relational databases (PostgreSQL/MySQL).
• Advanced data analytics with Tableau dashboards.
• Experience with AWS cloud deployments and data warehousing.

Responsibilities

• Collects, cleanses, analyzes, and validates data for storage and use.
• Designs, tests, and implements ETL processes and data pipelines.
• Ensures data integrity with QA practices and governance.
• Performs audits and generates reports on data activity.
• Develops guidelines and documents data standards and procedures.
• Collaborates with customers to deliver data solutions and requirements.
• Participates in Agile ceremonies within the CDP program.

Skills

Data analysis

SQL proficiency

Python

PySpark

AWS cloud

ETL design

Agile/DevOps

Team collaboration

Education

Bachelor's degree in STEM

Tools

PostgreSQL

MySQL

Tableau

AWS

GitLab

Databricks

Collibra

Starburst

Jupyter

Airflow

Redshift

Snowflake

Job description

The Federal Reserve Bank of Kansas City seeks a Data/Software Engineer to design, build, and maintain scalable data pipelines and analytics solutions. You will collaborate with CADRE and staff across the Economic Research division in a DevOps/Agile environment, delivering trusted data for multiple lines of business.

You will contribute to data warehousing, ETL, and dashboards using Tableau and modern data tools, while ensuring data quality and governance.