Senior Data & Software Engineer – AWS/ETL & Data Platforms

Federal Reserve Bank of Kansas City

Oklahoma City (OK)

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 Senior Data/Software Engineer to design and maintain scalable data pipelines and analytics across multiple business lines. You will leverage AWS, SQL expertise, and modern data stack tools to deliver trusted insights and dashboards.

Ideal candidates bring 6–15+ years of experience, strong Python/PySpark skills, and independent work capability within an Agile/DevOps environment.

Qualifications

  • 6–15+ years of relevant experience required, depending on level.
  • STEM degree from an accredited college or university, or equivalent.
  • Recent accomplishments in SQL on PostgreSQL/MySQL for data querying/manipulation.
  • Advanced data analytics and Tableau dashboards aligned to business needs.
  • Experience with AWS data workloads and cloud deployments.
  • Proficient with GitLab, Python, PySpark, and Jupyter notebooks.
  • Familiar with Databricks, Collibra, Starburst, and modern data stack tools.
  • Ability to work independently with minimal supervision.

Responsibilities

  • Design, build, and maintain scalable data pipelines and ETL processes.
  • Analyze data to deliver trusted insights for multiple lines of business.
  • Develop dashboards and reports in Tableau aligned to requirements.
  • Participate in Agile ceremonies and follow CDP/DevOps practices.
  • Collaborate with customers and stakeholders to translate needs into technical solutions.

Skills

SQL databases
Tableau
AWS
GitLab
Python
PySpark
Jupyter
Databricks
Collibra
Starburst
Redshift
Snowflake
ETL
Data pipelines
Agile
DevOps

Education

Bachelor's degree in STEM

Tools

GitLab
Databricks
Collibra
Starburst
PostgreSQL
MySQL
RedShift
Snowflake
AWS

Job description

The Federal Reserve Bank of Kansas City is seeking a Senior Data/Software Engineer to design and maintain scalable data pipelines and analytics across multiple business lines. You will leverage AWS, SQL expertise, and modern data stack tools to deliver trusted insights and dashboards.

Ideal candidates bring 6–15+ years of experience, strong Python/PySpark skills, and independent work capability within an Agile/DevOps environment.

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