Cloud Data Engineer II: Azure & Streaming Pipelines

FHLBank; Topeka (KS); Hybrid; USD 100,000 - 140,000; Full time

Benefits offered by this job

401K retirement plan with companymatch

Health insurance offerings

Paid Time Off

Tuition reimbursement

Onsite fitness facility

Job summary

FHLBank Topeka is seeking a Data Engineer to design, build, and maintain scalable data solutions for enterprise reporting and modernization. You will develop batch and streaming pipelines, automate ETL/ELT processes, and collaborate across teams to deliver high-quality data solutions.

The role requires strong Python, SQL Server, and cloud data engineering experience, with a focus on production-ready, low-latency data platforms. Join a team that values mentoring and cross-functional collaboration.

Qualifications

• Bachelor's degree or equivalent in CS/SE/Math or related field.
• 4–6 years of data engineering experience.
• Experience with SQL Server, Azure, Databricks, ETL/ELT, and data streaming.
• Strong Python and REST API experience; DevOps exposure.

Responsibilities

• Design, develop, test, and deploy batch and streaming data ingestion pipelines.
• Build and automate ETL/ELT processes with scripting and scheduling tools.
• Develop scalable data pipelines using Azure and Databricks.
• Collaborate with analysts and SMEs to gather requirements and deliver solutions.
• Ensure fault-tolerant, low-latency, maintainable data workflows.

Skills

Python

SQL

Data storytelling

Communication

Mentoring

DevOps

ETL/ELT

Production support

Education

Bachelor's degree in Computer Science or related field

Tools

Azure

Databricks

SQL Server

Azure Data Factory

Job description

FHLBank Topeka is seeking a Data Engineer to design, build, and maintain scalable data solutions for enterprise reporting and modernization. You will develop batch and streaming pipelines, automate ETL/ELT processes, and collaborate across teams to deliver high-quality data solutions.

The role requires strong Python, SQL Server, and cloud data engineering experience, with a focus on production-ready, low-latency data platforms. Join a team that values mentoring and cross-functional collaboration.