Senior Data & Software Engineer - ETL, AWS & Analytics

Federal Reserve Bank of Kansas City

Omaha (NE)

On-site

USD 114,000 - 162,000

Full time

4 days ago

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Job summary

The Federal Reserve Bank of Kansas City is seeking a Data/Software Engineer to design, build, and maintain scalable data pipelines and analytics capabilities within the CADRE group.

You will work on ETL, data warehousing, and cloud deployments using AWS services, Python, PySpark, SQL, and modern data stacks, collaborating in an Agile/DevOps environment.

This role emphasizes data integrity, quality assurance, and cross-division partnership to transform data into actionable insights.

Qualifications

Bachelor's degree in STEM or related field from an accredited college or university.
6+ years of relevant data engineering/software development experience.
Strong SQL proficiency on PostgreSQL/MySQL for data querying/manipulation.
Advanced data analytics and Tableau dashboard/reporting experience.
Experience with AWS data warehouse deployments and architecture best practices.
Experience with GitLab for project/version control.

Responsibilities

Collects, cleanses, analyzes, and validates data for storage and use by the organization and clients.
Configures and tests data processes to meet governance and quality requirements.
Ensures data integrity through QA practices and documentation.
Performs regular audits and prepares findings reports.
Develops guidelines and documentation for data policies and standards.
Identifies improvements in data collection processes and systems.

Skills

SQL

Python

PySpark

AWS

GitLab

Agile

Data modeling

Education

Bachelor's in STEM

Tools

Databricks

Collibra

Starburst

Redshift

Snowflake

Tableau

Job description

The Federal Reserve Bank of Kansas City is seeking a Data/Software Engineer to design, build, and maintain scalable data pipelines and analytics capabilities within the CADRE group.

You will work on ETL, data warehousing, and cloud deployments using AWS services, Python, PySpark, SQL, and modern data stacks, collaborating in an Agile/DevOps environment.

This role emphasizes data integrity, quality assurance, and cross-division partnership to transform data into actionable insights.

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