Data Engineer II

FHLBank Topeka; Topeka (KS); Hybrid; USD 100,000 - 130,000; Full time

Benefits offered by this job

Hybrid operating model

401K retirement plan

Health insurance offerings

Paid Time Off

Job summary

FHLBank Topeka seeks a Data Engineer to design, build, and maintain scalable data solutions for enterprise reporting and analytics. You will develop batch and streaming pipelines using Azure and Databricks, automate ETL/ELT processes, and collaborate with cross-functional teams to deliver reliable data products.

Qualifications include a 4-6 year track record in data engineering, strong SQL Server/Azure/Databricks experience, and Python proficiency.

Qualifications

• Bachelor's degree or equivalent work experience in a related field.
• 4-6 years of data engineering or related experience.
• Strong SQL Server, Azure, Databricks, ETL/ELT and data streaming knowledge.
• Proficiency in Python and REST APIs for data ingestion.

Responsibilities

• Design, build, test, and deploy batch and streaming data pipelines.
• Develop and automate ETL/ELT processes and data workflows.
• Collaborate with analysts and SMEs to gather requirements and deliver data solutions.
• Ensure pipelines are fault-tolerant, low-latency, and maintainable.
• Provide production support, monitoring, and root cause analysis.

Skills

Python

REST APIs

DevOps

Analytical skills

Communication

C#

VB

Data storytelling

Education

Bachelor's degree in Computer Science or related field

Tools

SQL Server

Azure

Databricks

ETL/ELT tools

Job scheduling

Power BI

IBM Cognos

Job description

We are seeking a Data Engineer to design, build, and maintain scalable data solutions that support enterprise reporting, analytics, and data modernization initiatives. In this role, you will develop and operationalize batch and streaming data pipelines, optimize data workflows, and collaborate across teams to deliver high-quality, maintainable solutions.

In This Role, You Will

• Design, develop, test, and deploy batch and streaming data ingestion pipelines across multiple data domains.

• Build and automate ETL/ELT processes using scripting languages, ETL tools, and job scheduling software.

• Use Azure technologies and Databricks to develop scalable, reliable, and high-performing data pipelines.

• Partner with business analysts, data analysts, technical SMEs, and cross-functional teams to gather requirements and deliver data solutions.

• Ensure pipelines are fault-tolerant, low-latency, and maintainable through strong engineering and automation practices.

• Support data modernization efforts by optimizing legacy processes and implementing cloud-based solutions.

• Provide production support, system monitoring, troubleshooting, and root cause analysis.

• Collaborate with audit and governance partners to document data lineage and support data audits.

• Guide junior team members, contribute technical leadership, and communicate effectively with technical and non-technical stakeholders.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Mathematics, Business, or related field; or equivalent combination of education and experience.

• 4-6 years of data engineering or related professional experience.

• Strong experience with SQL Server, Azure, Databricks, ETL/ELT processes, job scheduling, and data streaming services.

• Experience building scalable, production-ready end-to-end data solutions in cloud or big data platforms.

• Strong programming and scripting skills, including Python.

• Experience with REST APIs for data ingestion.

• Experience supporting production operations in a DevOps environment.

• Knowledge of data warehousing concepts and data modeling standards.

• Strong analytical, problem-solving, and root cause analysis skills.

• Ability to communicate technical concepts clearly to both technical and non-technical audiences.

• Experience with C#, VB, or similar object-oriented programming languages for maintaining legacy ETL applications.

• Experience with data visualization and reporting tools such as Power BI or IBM Cognos.

• Passion for data analysis and storytelling with data.

• Experience working with IT leadership to establish and improve data management processes and procedures.

• Demonstrated ability to mentor junior team members and work effectively in a collaborative, team-oriented environment.

Why work here

FHLBank Topeka strives to be an employer of choice by offering industry leading benefits such as generous vacation, volunteer hours and a hybrid operating model. Below are a few more of our benefits...

• Bankwide incentive compensation program

• 401K retirement plan with competitive company match

• Multiple health insurance offerings, including free telemedicine benefits

• Paid Time Off: Vacation, sick, personal, volunteer and bereavement leave

• Short-term and long-term disability coverage

• Voluntary life insurance

• Incentive-based wellness program

• Paid maternity and parent bonding leave

• Tuition reimbursement and student loan assistance

• Onsite fitness center with shower facilities and onsite yoga classes

• Summer hours

• Onsite cafe

How we work

At FHLBank Topeka, employees are business partners. We believe we are successful when we partner with one another and understand that our differences only make us stronger.

• Work Location Flex Day | Business partners may work from an alternative location one day per week.

• Access to Leadership | The executives of FHLBank Topeka welcome communication with business partners. Stop by and say "Hi." Send an email and expect a response. Or schedule a meeting to share your perspective.

• Peer-to-Peer Recognition | Our recognition programs celebrate business partners practicing FHLBank Topeka values and those working above and beyond.

• Professional Wins | FHLBank Topeka offers business partners kudos for continuing education through tuition reimbursement and certification rewards.

ZR

FHLBank Topeka EEO Policy

FHLBank Topeka is an equal employment opportunity employer. We recruit, employ, train, compensate and promote without regard to race, color, creed, religion, sex, age, sexual orientation, national origin, ancestry, pregnancy, parental status, citizenship status, disability, genetic information, military status, gender identity and expression or marital status.

Accommodation Request

Should you need an accommodation during the application or interview process, please contact us at [e-mail].